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Friday, November 23, 2018

Educational inequality

From Wikipedia, the free encyclopedia

Educational inequality is the unequal distribution of academic resources, including but not limited to; school funding, qualified and experienced teachers, books, and technologies to socially excluded communities. These communities tend to be historically disadvantaged and oppressed. More times than not, individuals belonging to these marginalized groups are also denied access to the schools with abundant resources. Inequality leads to major differences in the educational success or efficiency of these individuals and ultimately suppresses social and economic mobility. See Statistic sections for more information.
 
Measuring educational efficacy varies by country and even provinces/states within the country. Generally, grades, GPA scores, test scores, dropout rates, college entrance statistics, and college completion rates are used to measure educational success. These are measures of an individual's academic performance ability. When determining what should be measured in terms of the educational success of an individual, many scholars and academics suggest that GPAs, test scores, and other measures of performance ability are not the only useful tools in determining efficacy. In addition to academic performance, attainment of learning objectives, acquisition of desired skills and competencies, satisfaction, persistence, and post-college performance should all be measured and accounted for when determining the educational success of individuals. Scholars argue that academic achievement is only the direct result of attaining learning objectives and acquiring desired skills and competencies. To accurately measure educational efficacy, it is imperative to separate academic achievement because it captures only a student's performance ability and not necessarily their learning or ability to effectively use what they have learned.

Much of educational inequality is attributed to economic disparities that often falls along racial lines and much modern conversation about educational equity conflates the two, showing how they are inseparable from residential location and, more recently, language. Educational inequality between white students and minority students continues to perpetuate social and economic inequality.

Throughout the world, there have been continuous attempts to reform education at all levels. With different causes that are deeply rooted in history, society, and culture, this inequality is difficult to eradicate. Although difficult, education is vital to society's movement forward. It promotes "citizenship, identity, equality of opportunity and social inclusion, social cohesion as well as economic growth and employment" and for these reasons, equality is widely promoted.

Unequal educational outcomes are attributed to several variables, including family of origin, gender, and social class. Achievement, earnings, health status, and political participation also contribute to educational inequality within the United States and other countries.

Family background

In Harvard's "Civil Rights Project", Lee and Orfield identify family background as the most influential factor in student achievement. A correlation exists between the academic success of parents with the academic success of their children. Only 11% of children from the bottom fifth earn a college degree while 80% of the top fifth earn one. Linked with resources, white students tend to have more educated parents than students from minority families. This translates to a home-life that is more supportive of educational success. This often leads to them receiving more at-home help, have more books in their home, attend more libraries, and engage in more intellectually intensive conversations. Children, then, enter school at different levels. Poor students are behind in verbal memory, vocabulary, math and reading achievement, and have more behavior problems. This leads to their placement in different level classes that tracks them. These courses almost always demand less from their students, creating a group that is conditioned to lack educational drive. These courses are generally non-college bound and are taught by less qualified teachers.

Also, family background influences cultural knowledge and perceptions. Middle class knowledge of norms and customs allows students with this background to better navigate the school system. Parents from this class and above also have social networks that prove to be more beneficial than networks based in lower classes. These connections may help students gain access to the right schools, activities, etc. Additionally, children from poorer families, who are often minorities, come from families that distrust institutions. America's history of racism and discrimination has created a perceived and/or existent ceiling on opportunities for many poor and minority citizens. This ceiling muffles academic inspirations and muffles growth.

The recent and drastic increase of Latino immigrants has created another major factor in educational inequality. As more and more students come from families where English is not spoken at home, they often struggle with overcoming a language barrier in addition to simply learning subjects. They more frequently lack assistance at home because it is common for the parents to not understand the work that is in English.

Furthermore, research reveals summer months as crucial time for the educational development of children. Students from disadvantaged families experience greater losses in skills during summer vacation. Students from lower socioeconomic classes come disproportionately from single-parent homes and dangerous neighborhoods. 15% of white children are raised in single-parent homes and 10% of Asian children are. 27% of Latinos are raised in single-parent homes and 54% of African American children are. Less resources, less parental attention, and more stress all influence the performance of children in school.

Gender

Throughout the world, educational achievement varies by gender. The exact relationship differs across cultural and national contexts.

Female disadvantage

Obstacles preventing females' ability to receive a quality education include traditional attitudes towards gender roles, poverty, geographical isolation, gender-based violence, and early marriage and pregnancy. Throughout the world, there is an estimated 7 million more girls than boys out of school. This "girls gap" is concentrated in several countries including Somalia, Afghanistan, Togo, the Central African Republic and Democratic Republic of the Congo. In the Democratic Republic of the Congo, girls are outnumbered two to one.

Socialized gender roles affect females' access to education. For example, in Nigeria, children are socialized into their specific gender role as soon as their parents know their gender. Men are the preferred gender and are encouraged to engage in computer and scientific learning while the women learn domestic skills. These gender roles are deep rooted within the state, however, with the increase of westernized education within Nigeria, there has been a recent increase in women having the ability to receive an equal education. There is still much to be changed, though. Nigeria still needs policies that encourage educational attainment for men and women based on merit, rather than gender.

Females are shown to be at risk of being attacked in at least 15 countries. Attacks can occur because individuals within those countries do not believe women should receive an education. Attacks include kidnappings, bombings, torture, rape and murder. In Somalia, girls have been abducted. In Colombia, the Democratic Republic of the Congo, and Libya students were reported to have been raped and harassed. In Pakistan and Afghanistan, schools and busses have been bombed and gassed.

Early marriage affects females' ability to receive an education.

"The gap separating men and women in the job market remains wide in many countries, whether in the North or the South. With marginal variables between most countries, women have a lower employment rate, are unemployed longer, are paid less and have less secure jobs." "Young women, particularly suffer double discrimination. First for being young, in the difficult phase of transition between training and working life, in an age group that has, on an average, twice the jobless rate or older workers and are at the mercy of employers who exploit them under the pretext of enabling them to acquire professional experience. Secondly they are discriminated against for being women and are more likely to be offered low paying or low status jobs." "Discrimination is still very much in evidence and education and training policies specially targeting young women are needed to restore a balance." "Although young women are increasingly choosing typically 'male' professions, they remain over-represented in traditionally female jobs, such as secretaries, nurses, and under represented in jobs with responsibility and the professions."

In early grades, boys and girls perform equally in mathematics and science, but boys score higher on advanced mathematics assessments such as the SAT college entrance examination. Girls are also less likely to participate in class discussions and more likely to be silent in the classroom. Some believe that females have a way of thinking and learning that is different than males. Belenky and colleagues (1986) conducted research which found that there was an inconsistency between the kind of knowledge appealing to women and the kind of knowledge being taught in most educational institutions. Another researcher, Gilligan (1982), found that the knowledge appealing to females was caring, interconnection, and sensitivity to the needs of others, while males found separation and individualism appealing. Females are more field dependent, or group oriented, than males, which could explain why they may experience problems in schools that primarily teach using an individualistic learning environment.

Male disadvantage

In 51 countries, girls are enrolled at higher rates than boys. Particularly in Latin America, the difference is attributed to prominence of gangs and violence attracting male youth. The gangs pull the males in, distracting them from school and causing them to drop out.

In some countries, female high school and graduation rates are higher than for males. In the United States for example, 33% more bachelor's degrees were conferred on females than males in 2010–2011. This gap is projected to increase to 37% by 2021–2022, and is over 50% for master's and associate degrees. Dropout rates for males has also increased over the years in all racial groups, especially in African Americans. They have exceeded the number of high school and college dropout rates than any other racial ethnicity for the past 30 years. A majority of the research found that males were primarily the most "left behind" in education because of higher graduation dropout rates, lower test scores, and failing grades. They found that as males get older, primarily from ages 9 to 17, they are less likely to be labeled "proficient" in reading and mathematics than girls were.

In general, males arrive in kindergarten much less ready and prepared for schooling than females. This creates a gap that continually increases over time into middle and high school. Nationally, there are 113 boys in 9th grade for every 100 girls, and among African American males, there are 123 boys for every 100 girls. States have discovered that 9th grade has become one of the biggest drop out years. Whitmire and Bailey continued their research and looked at the potential for any gender gap change when males and females were faced with the decision of potentially going to college. Females were more likely to go to college and receive bachelor's degrees than males were. From 1971 to about 1981, women were the less fortunate and had lower reported numbers of bachelor's degrees. However, since 1981, males have been at a larger disadvantage and the gap between males and females keeps increasing.

Boys are more likely to be disciplined than girls, and are also more likely to be classified as learning disabled. Males of color, especially African American males, experience a high rate of disciplinary actions and suspensions. In 2012, one in five African American males received an out of school suspension.

In Asia, males are expected to be the main financial contributor of the family. So many of them go to work right after they become adults physically, which means at the age around 15 to 17. This is the age they should obtain high school education.

Males get worse grades than females do regardless of year or country examined in most subjects. In the U.S. Women are more likely to have earned a bachelor's degree than men by the age of 29. Female students graduate high school at a higher rate than male students. In the U.S. in 2003, 72 percent of female students graduated, compared with 65 percent of male students. The gender gap in graduation rates is particularly large for minority students. Men are under-represented among both graduate students and those who successfully complete master's and doctoral degrees in the U.S. Causes include boys having worse self-regulation skills than girls and being more sensitive to school-quality and home environment than girls. Boys perceiving education as feminine and lacking educated male role-models also contributes to males being less likely to complete college. In the U.S., male students perform worse on reading tests and read less than their female counterparts in part because males are more physically active, more aggressive, less compliant, and because school reading curricula do not match their interests. Teacher Bias in grading accounts for 21% of the male deficit in grades. 

Race

United States

Race and ethnics have played a major role in the inequalities of the American Education system.
"Since its inception, public education in the United States has been beset with questions of which racial or ethnic group should be granted access to schooling."

During the early 18th century in most states African-American students and Mexican American students were barred from attending schools with White Students. This was due to the post effects of the court case Plessy v. Ferguson (1896) where it was decided that educational facilities were allowed to segregate white students from students of color as long as the educational facilities were considered equal. Educational facilities did not follow the federal mandate, in a studies through taken from 1890 to 1950 of Southern States per pupil expenditures (1950s dollars) on instruction varied from Whites to Blacks. On average White students received 17–70 percent more educational expenditures than their Black counterparts. The first Federal legal challenge of these unequal segregated educational systems would occur in California Mendez v. Westminster in 1947 followed by Brown v. Board of Education in 1954. The decision of Brown v. Board of Education would lead to the desegregation of schools by federal law, but the years of lower education, segregation of household salaries between whites and people of color, and racial wealth gaps would leave people of color at a disadvantage to seek proper equal education for generations to come.

Differences of academic skills in children of different race starts at an early age, according to National Assessment of Educational Progress there is a remaining gap showing Black and Latino children being able to demonstrate cognitive proficiency compared to their White counterparts. In the data 89 percent of White children presented the ability to understand written and spoken words while only 79 and 78 percent of Black and Latino children were able to comprehend written and spoken words the trend would continue into ages 4–6. Experts believe that the racial differences in academic achievement fall under three major categories: genetic, cultural, and structural. For example, in the 1980s minorities experienced a cultural phenomenon called "fear of acting White", minorities would shun and ridicule those in their social groups who had shown a higher intelligence than others. Shown in a graph comparing popularity to grade point average among Blacks, Latinos, and Whites built based on data from the National Longitudinal Study of Adolescent Health popularity of White students increased as their grades increased, for Black and Latino students popularity would drop as grades would rise. Race and ethnics will continue to play a major role in the disbursement of education through the American public school system, through diversity placement programs such as SEO and MLT, grants and social and cultural changes the education gap has slowly been closing between Whites and minorities in more recent years.

Latino students and college preparednessess

Latino migration

In the United States, Latinos are the largest growing population. As of July 1, 2016, Latinos make up 17.8 percent of the U.S. population, making them the largest minority. People from Latin America migrate to the United States due to their inability to obtain stability, whether it is financial stability or refugee. Their homeland is either dealing with an economic crisis or is involved in a war. The United States capitalizes on the migration of Latin American migrants. With the disadvantage of their legal status, American businesses employ them and pay them an extremely low wage. As 2013, 87% of undocumented men and 57% undocumented women were a part of the U.S. economy. Diaspora plays a role in Latinos migrating to the United States. Diaspora is the dispersion of any group from their original homeland. New York City holds a substantial quota of the Latino population. More than 2.4 million Latinos inhabit New York City, its largest Latino population being Puerto Ricans followed by Dominicans. The large number of Latinos contributes to the statistic of at least four million of United States born children having one immigrant parent. Children of immigrant origin are the fastest growing population in the United States. One in every four children come from immigrant families. Many Latino communities are constructed around immigrant origins in which play a big part in society. The growth in children of immigrant parents does not go unaware, in a way society and the government accepts it. For example, many undocumented/immigrants can file taxes, children who attend college can provide parents information to obtain financial aid, parent(s) may be eligible for government help through the child, etc. Yet, the lack of knowledge regarding post-secondary education financial help increases the gap of Latino children to restrain from obtaining higher education.

Education

In New York City, Mayor De Balsio has implemented 3-K for All, which every child can attend pre-school at the age of three, free of charge. Although children education is free from K-12 grade, many children with immigrant parents do not take advantage of all the primary education benefits. Children who come from a household that contains at least one immigrant parent, are less likely to attend childhood or preschool programs.

College preparation

The preparation of college access to children born in America from immigrant parents pertaining to Latino communities is a complex process. The beginning of junior year through senior year in high school consists of preparation to college research and application process. For government help towards college tuition such as Financial Aid and Taps, parents or guardian's personal information is needed, this is where doubt and anticipation unravels. Majority of immigrant parents/guardians do not have most of the qualifications required for the application. The focus is to portray the way immigrants and their American born child work around the education system to attain college education. Due to the influx of the Latino population, there amount of Latino high school students graduates has increased as well. Latino students are mainly represented in two-year rather than four-year institutions. This can occur for two reasons: the cost reduction of attending a two-year institution or its close proximity to home. Young teens with desire to obtain a higher education clash with some limitations due to parent's/guardian's personal information. Many children lack public assistance due to lack of English proficiency of parents which is difficult to fill out forms or applications or simply due to the parent's fear of giving personal information that could identify their status, the same concept applies to Federal Student Aid. Federal Student Aid comes from the federal government in which helps a student pay for educational expenses of college in three possible formats, grant, work-study, and loan. One step of the Federal Aid application requires one or both parent/guardian personal information as well as financial information. This may limit the continuance of the application due to the fear of providing personal information. The chances of young teens entering college reduces when personal information from parents are not given. Many young teens with immigrant parents are part of the minority group in which income is not sufficient to pay college tuition or repay loans with interest. The concept of college as highly expensive makes Latino students less likely to attend a four-year institution or even attend postsecondary education. Approximately 50% of Latinos received financial aid in 2003–2004, but they are still the minority who received the lowest average of federal award. In addition, loans are not typically granted to them.

Standardized tests

In addition to finance scarcity, standardized test are required when applying to a four-year post educational institution. In the United States, the two examinations that are normally taken are the SATs and ACTs. Latino students do generally take the exam, but from 2011 to 2015, there has been a 50% increase in the number of Latino students taking the ACTs. As for the SATs, in 2017, 24% of the test takers were identified with Latino/Hispanic. Out of that percentage, only 31 percent met the college-readiness benchmark for both portions of the test (ERW and Math).

Gifted and talented education

There is a disproportionate percentage of middle and upper-class White students labeled as gifted and talented compared to lower-class, minority students. Similarly, Asian American students have been over-represented in gifted education programs. In 1992, African Americans were underrepresented in gifted education by 41%, Hispanic American students by 42%, and American Indians by 50%. Conversely, White students were over-represented in gifted education programs by 17% and Asian American minority students being labeled as gifted and talented, but research shows that there is a growing achievement gap between white students and students of color. There is also a growing gap between gifted students from low-income background and higher-income background. The reasons for the under-representation of African American, Hispanic American, and American Indian students in gifted and talented programs can be explained by (a) recruitment issues/screening and identifying; and (b) personnel issues. In regards to screening and identifying gifted and talented students, most states use a standardized achievement and aptitude test, which minority students have a history of performing poorly on. Arguments against standardized tests claim that they are culturally biased, favoring White students, require a certain mastery of the English language, and can lack cultural sensitivity in terms of format and presentation. In regards to personnel issues, forty-six states use teacher nominations, but many teachers are not trained in identifying or teaching gifted students. Teachers also tend to have lower expectations of minority students, even if they are identified as gifted. Forty-five states allow for parental nominations, but the nomination form is not sensitive to cultural differences and minority parents can have difficulty understanding the form. Forty-two states allow self nomination, but minority students tend not to self nominate because of social-emotional variables like peer pressure or feeling isolated or rejected by peers. Additionally, some students are identified as gifted and talented simply because they have parents with the knowledge, political skills, and power to require schools to classify their child as gifted and talented. Therefore, providing their child with special instruction and enrichment. Schools should make sure that students from all social-class, cultural, language, and ethnic groups have an equal opportunity to participate in gifted and talented programs.

Recommendations

There are many recommendations for recruiting and retaining minority students in gifted and talented education programs. It is important that the instruments used to screen students are valid, reliable, and sensitive to students from diverse cultural backgrounds. There should also be multiple types (quantitative, qualitative, objective, subjective) and sources (teachers, parents, students) of information used in the screening process. Minority students who come from less rigorous schools and classrooms should be provided with support services and educational opportunities to help them be successful. An example would be classes that focus on study skills or time management skills. Teachers should attend professional development opportunities and be trained in teaching and working with minority students. More specifically, teachers should attend professional development that addresses the characteristics and behaviors of underrepresented gifted populations, awareness of cultural differences, children with multiple exceptionalities, developing positive peer culture in the classroom and school, and equitable and unbiased assessments. There should also be an increase in family involvement in the classroom and school, along with family involvement in the screening process. It is important to implement programs to keep students in school as they come of age and need to work so they can provide for their family. These programs should help students stay in school and provide a path to a career instead of having to go to work when they are old enough, which is a major barrier students of low income families face.

Special education

In addition to the unbalanced scale of gender disproportionality in formal education, students with "special needs" comprise yet another facet of educational inequality. Prior to the 1975 passing of the Education for All Handicapped Children Act (currently known as the Individuals with Disabilities Education Act (IDEA)) approximately 2 million children with special needs were not receiving sufficient public education. Of those that were within the academic system, many were reduced to lower standards of teaching, isolated conditions, or even removal from school buildings altogether and relocated out of peer circulation. The passing of this bill effectively changed the lives of millions of special needs students, ensuring that they have free access to quality public education facilities and services. And while there are those that benefit from the turning of this academic tide, there are still many students (most of which are minorities with disabilities) that find themselves in times of learning hardship due to the unbalanced distribution of special education funding.

In 1998 1.5 million minority children were identified with special learning needs in the US, out of that 876,000 were African American or Native American. African American students were 3 times as likely to be labeled as special needs than that of Caucasians. Students who both are special education students and of a minority face unequal chances for a quality education to meet their personal needs. Special education referrals are, in most cases in the hands of the general education teacher, this is subjective and because of differences, disabilities can be overlooked or unrecognized. Poorly trained teachers at minority schools, poor school relationships, and poor parent-to-teacher relationships play a role in this inequality. With these factors, minority students are at a disadvantage because they are not given the appropriate resources that would in turn benefit their educational needs.

US Department of Education data shows that in 2000–2001 at least 13 states exhibited more than 2.75% of African American students enrolled in public schools with the label of "mental retardation". At that time national averages of caucasians labeled with the same moniker came in at 0.75%. During this period no Individual state rose over 2.32% of caucasian students with special needs.

According to Tom Parrish, a senior research analyst with the American Institutes for Research, African American children are 2.88 times more likely to be labeled as "mentally retarded", and 1.92 times more likely to be labeled as emotionally disturbed than Caucasian children. This information was calculated by data gathered from the US Department of Education. It illustrates how even within a system that has progressed so much over the years, specifically due to industry recognition and public attention in forms such as government and private funding, aspects as archaic as race discrimination are still prevalent within these institutional walls.

Researchers Edward Fierros and James Conroy, in their study of district level data regarding the issue of minority over-representation, have suggested that many states may be mistaken with their current projections and that disturbing minority based trends may be hidden within the numbers. According to the Individuals with Disabilities Act students with special needs are entitled to facilities and support that cater to their individual needs, they should not be automatically isolated from their peers or from the benefits of general education. However, according to Fierros and Conroy, once minority children such as African Americans and Latinos are labeled as students with special needs they are far less likely than caucasians to be placed in settings of inclusive learning and often receive less desirable treatment overall.

This problem of racial segregation amongst minority students with special needs is an ongoing battle in need of resolution. While historically there has been no ironclad solution to righting the wrongs of racial prejudices, there are ways in which we can all individually begin the process of equality within our educational institutions. Organizations such as the US Department of Education provide resources that we as teachers, students, parents, and concerned individuals can utilize in order to better educate ourselves on the current issues and services regarding special needs education. One such resource is the Office of Special Education and Rehabilitative Services (OSERS) which provides links to currently debated topics, programs, initiatives, reports and resources as well support services.

History of educational oppression

United States of America (US)

The historical relationships in the United States between privileged and marginalized communities' play a major role in the administering of unequal and inadequate education to these socially excluded communities. The belief that certain communities in the United States were inferior in comparison to others has allowed these disadvantages to foster into the great magnitude of educational inequality that we see apparent today.

For African Americans, deliberate systematic education oppression date back to enslavement, more specifically 1740. In 1740, North Carolina passed legislature that prohibited slave education. While the original legislature prohibited African Americans from being taught how to write, as other States adopted their own versions of the law, southern anti-literacy legislatures banned far more than just writing. Varying Southern laws prohibited African Americans from learn how to read, write, and assembling without the presence of slave owners. Many states as far as requiring free African Americans to leave in fear of them educating their enslaved brethren. By 1836, the public education of all African-Americans was strictly prohibited.

The enslavement of African Americans removed the access to education for generations. Once the legal abolishment of slavery was enacted, racial stigma remained. Social, economic, and political barriers held blacks in a position of subordination. Although legally African Americans had the ability to be learning how to read and write, they were often prohibited from attending schools with White students. This form of segregation is often referred to as de jure segregation. The schools that allowed African American students to attend often lacked financial support, thus providing inadequate educational skills for their students. Freedmen's schools existed but they focused on maintaining African Americans in servitude, not an enriching academic prosperity. The United States then experienced legal separation in schools between whites and blacks. Schools were supposed to receive equal resources but there was an undoubted inequality. It was not until 1968 that Black students in the South had universal secondary education. Research reveals that there was a shrinking of inequality between racial groups from 1970–1988, but since then the gap has grown again.

Latinos and American Indians experienced similar educational repression in the past, which effects are evident now. Latinos have been systematically shut out of educational opportunities at all levels. Evidence suggests that Latinos have experienced this educational repression in the United States has far back as 1848. Despite the fact that it is illegal to not accept students based on their race, religion, or ethnicity, in the Southwest of the United States Latinos were often segregated through the deliberate practice of school and public officials. This form of segregation is referred to as de facto segregation. American Indians experienced the enforcement of missionary schools that emphasized the assimilation into white culture and society. Even after "successful" assimilation, those American Indians experienced discrimination in white society and often a rejection by their tribe. It created a group that could not truly benefit even if they gained an equal education.

American universities are separated into various classes, with a few institutions, such as the Ivy League schools, much more exclusive than the others. Among these exclusive institutions, educational inequality is extreme, with only 6% and 3% of their students coming from the bottom two income quintiles.

Resources

Access to resources play an important role in educational inequality. In addition to the resources from family mentioned earlier, access to proper nutrition and health care influence the cognitive development of children. Children who come from poor families experience this inequality, which puts them at a disadvantage from the start. Not only important are resources students may or may not receive from family, but schools themselves vary greatly in the resources they give their students. On December 2, 2011, the U.S. Department of Education released that school districts are unevenly distributing funds, which are disproportionately underfunding low-income students. This is holding back money from the schools that are in great need. High poverty schools have less-qualified teachers with a much higher turnover rate. In every subject area, students in high poverty schools are more likely than other students to be taught by teachers without even a minor in their subject matter. Better resources allows for the reduction of classroom size, which research has proven improves test scores. It also increases the number of after school and summer programs—these are very beneficial to poor children because it not only combats the increased loss of skill over the summer but keeps them out of unsafe neighborhoods and combats the drop-out rate. There is also a difference in the classes offered to students, specifically advanced mathematics and science courses. In 2012, Algebra II was offered to 82% of the schools (in diverse districts) serving the fewest Hispanic and African American students, while only 65% of the schools serving the most African American and Hispanic students offered students the same course. Physics was offered to 66% of the schools serving the fewest Hispanic and African American students, compared to 40% serving the most. Calculus was offered to 55% of the schools serving the fewest Hispanic and African American students, compared to 29% serving the most.

This lack of resources is directly linked to ethnicity and race. Black and Latino students are three times more likely than whites to be in high poverty schools and twelve times as likely to be in schools that are predominantly poor. Also, in schools that are composed of 90% or above of minorities, only one half of the teachers are certified in the subjects they teach. As the number of white students increase in a school, funding tends to increase as well. Teachers in elementary schools serving the most Hispanic and African-American students are paid on average $2250 less per year than their colleagues in the same district working at schools serving the fewest Hispanic and African American Students. From the family resources side, 10% of white children are raised in poverty, while 37% of Latino children are and 42% of African American children are. Research indicates that when resources are equal, Black students are more likely to continue their education into college than their white counterparts.

State conflicts

Within fragile states, children may be subject to inadequate education. The poor educational quality within these states is believed to be a result of four main challenges. These challenges include coordination gaps between the governmental actors, the policy maker's low priority on educational policy, limited financing, and lack of educational quality.

Measurement

In the last decade, tests have been administered throughout the world to gather information about students, the schools they attend, and their educational achievements. These tests include the Organization for Economic and Co-Operational Development's Program of International Student Assessment and the International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study. To calculate the different test parameters in each country and calculate a standard score, the scores of these tests are put through Item Response Theory models. Once standardized, analysts can begin looking at education through the lens of achievement rather than looking at attainment. Through looking at achievement, the analysts can objectively examine educational inequality throughout the globe.

Effects

Social mobility

Social mobility refers to the movement in class status from one generation to another. It is related to the "rags to riches" notion that anyone, with hard work and determination, has the ability to move upward no matter what background they come from. Contrary to that notion, however, sociologists and economists have concluded that, although exceptions are heard of, social mobility has remained stagnant and even decreased over the past thirty years. From 1979 through 2007 the wage income for lower and middle class citizens has risen by less than 17 percent while the one percent has grown by approximately 156 percent sharply contrasting the "postwar period up through the 1970s, when income growth was broadly shared". Some of the decrease in social mobility may be explained by the stratified educational system. Research has shown that since 1973, men and women with at least a college degree have seen an increase in hourly wages, while the wages for those with less than a college degree have remained stagnant or have decreased during the same period of time. Since the educational system forces low-income families to place their children into less-than-ideal school systems, those children are typically not presented with the same opportunities and educational motivation as are students from well-off families, resulting in patterns of repeated intergenerational educational choices for parent and child, also known as decreased or stagnant social mobility.

Remedies

There are a variety of efforts by countries to assist in increasing the availability of quality education for all children.

Assessment

Based on input from more than 1,700 individuals in 118 countries, UNESCO and the Center for Universal Education at the Brookings Institution have co-convened the Learning Metrics Task Force. The task force aims to shift the focus from access to access plus learning. They discovered through assessment, the learning and progress of students in individual countries can be measured. Through the testing, governments can assess the quality of their education programs, refine the areas that need improvement, and ultimately increase their student's success.

Education for All Act

The Education For All act or EFA is a global commitment to provide quality basic education for all children, youth, and adults. In 2000, 164 governments pledged to achieve education for all at the World Education Forum. There are six decided-upon goals designed to reach the goal of Education for All by 2015. The entities working together to achieve these goals include governments, multilateral and development agencies, civil society and the private sector. UNESCO is responsible for coordinating the partnerships. Although progress has been made, some countries are providing more support than others. Also, there is need to strengthen overall political commitment as well as strengthening the needed resources.

Global Partnership for Education

Global Partnership for Education or GPE functions to create a global effort to reduce educational inequality with a focus on the poorest countries. GPE is the only international effort with their particular focus on supporting countries' efforts to educate their youth from primary through secondary education. Main goals of the partnership include providing educational access to each child, ensuring each child masters basic numeracy and literacy skills, increasing the ability for governments to provide quality education for all, and providing a safe space for all children to learn in. They are a partnership of donor and developing countries but the developing countries shape their own educational strategy based upon their personal priorities. When constructing these priorities, GPE serves to support and facilitate access to financial and technical resources. Successes of GPE include helping nearly 22 million children get to school, equipping 52,600 classrooms and training 300,000 teachers.

Multicultural education

Global Partnership for Education or GPE functions to create a global effort to reduce educational inequality with a focus on the poorest countries. GPE is the only international effort with their particular focus on supporting countries' efforts to educate their youth from primary through secondary education. Main goals of the partnership include providing educational access to each child, ensuring each child masters basic numeracy and literacy skills, increasing the ability for governments to provide quality education for all, and providing a safe space for all children to learn in. They are a partnership of donor and developing countries but the developing countries shape their own educational strategy based upon their personal priorities. When constructing these priorities, GPE serves to support and facilitate access to financial and technical resources. Successes of GPE include helping nearly 22 million children get to school, equipping 52,600 classrooms and training 300,000 teachers.

Massive online classes

There is a growing shift away from traditional higher education institutions to massive open online courses (MOOC). These classes are run through content sharing, videos, online forums and exams. The MOOCs are free which allow for many more students to take part in the classes, however the programs are created by global north countries, therefore inhibiting individuals in the global south from creating their own innovations.

Policy implications

With the knowledge that early educational intervention programs, such as extended childcare during preschool years, can significantly prepare low-income students for educational and life successes, comes a certain degree of responsibility. One policy change that seems necessary to make is that quality child care is available to every child in the United States at an affordable rate. This has been scientifically proven to push students into college, and thus increase social mobility. The ultimate end result of such a reality would be that the widely stratified educational system that exists in the U.S. today would begin to equalize so that every child born, regardless of socioeconomic status, would have the same opportunity to succeed. Many European countries are already exercising such successful educational systems.

Global evidence

School children in Rhbat, Nagar sit in classroom learning. The boys are in the front with the girls behind them.
School children in Rhbat, Nagar, Pakistan.

Albania

Household income in Albania is very low. Many families are unable to provide a college education for their kids, with the money they make. Albania is one of the poorest countries in Europe with a large population of people under the age of 25. This population of students needs a path to higher education. Nothing is being done for all the young adults who are smart enough to go to college but can not afford to.

Bangladesh

The Bangladesh education system includes more than 100,000 schools run by public, private, NGO and religious providers. The schools are overseen by a national ministry. Their system is centralized and overseen by the sub districts also known as Upazilas. During the past two decades, the system expanded through new national policies and pro-poor spending. The gross enrollment rate in the poorest quintile of upazilas is 101 percent. Also, the poorest quintile spending per child was 30 percent higher than the wealthiest quintile.

Educational inequalities continue despite the increased spending. They do not have consistent learning outcomes across the upazilas. In almost 2/3 of upazilas, the dropout rate is over 30 percent. They have difficulty acquiring quality teachers and 97 percent of preprimary and primary students are in overcrowded classrooms.

South Africa

Inequality in higher education

Africa, in general, has suffered from decreased spending on higher education programs. As a result, they are unable to obtain moderate to high enrollment and there is minimal research output.

Within South Africa, there are numerous factors that effect the quality of tertiary education. The country inherited class, race and gender inequality in the social, political, and economic spheres during the Apartheid. The 1994 constitution emphasizes higher education as useful for human resource development and of great importance to any economic and social transitions. However, they are still fighting to overcome the colonialism and racism in intellectual spaces.

Funding from the government has a major stake in the educational quality received. As a result of declining government support, the average class size in South Africa is growing. The increased class size limits student-teacher interactions, therefore further hindering students with low problem solving and critical thinking skills. In an article by Meenal Shrivastava and Sanjiv Shrivastava, the argument is made that in large class sizes “have ramifications for developing countries where higher education where higher education is a core element in the economic and societal development”. These ramifications are shown to include lower student performance and information retention.

United Kingdom (UK)

Evidence from the British birth cohort studies has illustrated the powerful influence of family socio-economic background on children's educational attainment. These differences emerge early in childhood, and continue to grow throughout the school years.

United States of America (US)

Children in a classroom in the United States.
Children in a classroom in the United States

Property tax dilemma

In the United States, schools are funded by local property taxes. Because of this, the more affluent a neighborhood, the higher the funding for that school district. Although this situation seems favorable, the problem emerges when the equation is reversed. In neighborhoods inhabited by predominantly working and lower-class families, properties are less expensive, and so property taxes are much lower than those in affluent neighborhoods. Consequently, funding for the school districts to which working and lower class children are assigned is also significantly lower than the funding for the school districts to which children of affluent families are assigned. Thus, students in working and lower class schools do not receive the same quality of education and access to resources as do students from affluent families. The reality of the situation is that distribution of resources for schools is based on the socioeconomic status of the parents of the students. As a result, the U.S. educational system significantly aids in widening the gap between the rich and the poor. This gap has increased, rather than decreased, over the past few decades due in part to a lack of social mobility.

International comparisons

Compared to other nations, the United States is among some of the highest spenders on education per student behind only Switzerland and Norway. The per-pupil spending has even increased in recent years but the academic achievement of students has remained stagnant. The Swedish educational system is one such system that attempts to equalize students and make sure every child has an equal chance to learn. Some ways that Sweden is accomplishing these goals is by making sure every child can go to daycare affordably. Of the total cost of childcare, parents pay no more than 18% for their child; the remaining 82% is paid for by various government agencies and municipalities. In 2002, a "maximum-fee" system was introduced in Sweden that states that costs for childcare may be no greater than 3% of one's income for the first child, 2% for the second child, 1% for the third child, and free of charge for the fourth child in pre-school. 97.5% of children age 1–5 attend these public daycare centers. Also, a new law was recently introduced that states that all four- and five-year-old children can attend day care for free. Since practically all students, no matter what their socioeconomic background, attend the same daycare centers, equalization alongside educational development begins early and in the public sphere. Furthermore, parental leave consists of 12 months paid leave (80% of wage) whereas one month is awarded solely to the father in the form of "use it or lose it". This results in the privilege and affordability of staying home and bonding with one's child for the first year of life. Due to this affordability, less than 200 children in the entire country of Sweden under the age of 1 are placed in child care.

Stratification in the educational system is further diminished by providing all Swedish citizens and legal residents with the option of choosing which school they want their children to be placed in, regardless of what neighborhood they reside in or what property taxes they pay. Additionally, the Swedish government not only provides its citizens with a free college education, but also with an actual monthly allowance for attending school and college.

Together, these privileges allow for all Swedish children to have access to the same resources. A similar system can be found in France, where free, full-day child care centers known as "écoles maternelles" enroll close to 100% of French children ages 3–5 years old. In Denmark, children from birth to age six are enrolled in childcare programs that are available at one-fifth the total costs, where the rest is covered by public funding.

Women in computing

From Wikipedia, the free encyclopedia


Women in computing have shaped the evolution of information technology. They were among the first programmers in the early-20th century, and contributed substantially to the industry. As technology and practices altered, the role of women as programmers has changed, and the recorded history of the field has downplayed their achievements.

Since the 18th century, women have developed scientific computations, including Nicole-Reine Lepaute's prediction of Halley's Comet, and Maria Mitchell's computation of the motion of Venus. The first algorithm intended to be executed by a computer was designed by Ada Lovelace who was a pioneer in the field. Grace Hopper was the first person to design a compiler for a programming language. Throughout the 19th and early-20th century, and up to World War II, programming was predominantly done by women; significant examples include the Harvard Computers, codebreaking at Bletchley Park and engineering at NASA.

After the 1960s, the "soft work" that had been dominated by women evolved into modern software, and the importance of women decreased. The gender disparity and the lack of women in computing from the late 20th century onward has been examined, but no firm explanations have been established. Nevertheless, many women continued to make significant and important contributions to the IT industry, and attempts were made to readdress the gender disparity in the industry. In the 21st century, women held leadership roles in multiple tech companies, such as Meg Whitman, president and chief executive officer of Hewlett Packard Enterprise, and Marissa Mayer, president and CEO of Yahoo! and key spokesperson at Google.

History

1700s

Nicole-Reine Etable de la Brière Lepaute was one of a team of human computers who worked with Alexis-Claude Clairaut and Joseph-Jérôme Le Français de Lalande to predict the date of the return of Halley's Comet. They began work on the calculations in 1757, working throughout the day and sometimes during mealtimes. Their methods were followed by successive human computers. They divided large calculations into "independent pieces, assembled the results from each piece into a final product" and then checked for errors. Lepaute continued to work on computing for the rest of her life, working for the Connaissance de Temps and publishing predictions of solar eclipses.

1800s

Astronomer Edward Charles Pickering's Harvard computers

One of the first computers for the American Nautical Almanac was Maria Mitchel. Her work on the assignment was to compute the motion of the planet Venus. The Almanac never became a reality, but Mitchell became the first astronomy professor at Vassar.

Ada Lovelace was the first person to publish an algorithm intended to be executed by the first modern computer, the Analytical Engine created by Charles Babbage. As a result she is often regarded as the first computer programmer. Lovelace was introduced to Babbage's difference engine when she was 17. In 1840, she wrote to Babbage and asked if she could become involved with his first machine. By this time, Babbage had moved on to his idea for the Analytical Engine. A paper describing the Analytical Engine, Notions sur la machine analytique, published by L.F. Menabrea, came to the attention of Lovelace, who not only translated it into English, but corrected mistakes made by Menabrea. Babbage suggested that she expand the translation of the paper with her own ideas, which, signed only with her initials, AAL, "synthesized the vast scope of Babbage's vision." Lovelace imagined the kind of impact of the Analytical Engine might have on society. She drew up explanations of how the engine could handle inputs, outputs, processing and data storage. She also created several proofs to show how the engine would handle calculations of Bernoulli Numbers on its own. The proofs are considered the first examples of a computer program. Lovelace downplayed her role in her work during her life, for example, in signing her contributions with AAL so as not be "accused of bragging."

After the Civil War in the United States, more women were hired as human computers. Many were war widows looking for ways to support themselves. Others were hired when the government opened positions to women because of a shortage of men to fill the roles.

Annie Jump Cannon working at Harvard

Anna Winlock asked to become a computer for the Harvard Observatory in 1875 and was hired to work for 25 cents an hour. By 1880, Edward Charles Pickering had hired several women to work for him at Harvard because he felt that women could do the job as well as men and he could ask them to volunteer or work for less pay. The women, described as "Pickering's harem" and also as the Harvard Computers, performed clerical work that the male employees and scholars considered to be tedious at a fraction of the cost of hiring a man. The women working for Pickering cataloged around ten thousand stars, discovered the Horsehead Nebula and developed the system to describe stars. One of the "computers," Annie Jump Cannon, could classify stars at a rate of three stars per minute. The work for Pickering became so popular that women volunteered to work for free even when the computers were being paid. Even though they performed an important role, the Harvard Computers were paid less than factory workers.

By the 1890s, women computers were college graduates looking for jobs where they could use their training in a useful way. Florence Tebb Weldon, was part of this group and provided computations relating to biology and evidence for evolution, working with her husband, W.F. Raphael Weldon. Florence Weldon's calculations demonstrated that statistics could be used to support Darwin's theory of evolution. Another human computer involved in biology was Alice Lee, who worked with Karl Pearson. Pearson hired two sisters to work as part-time computers at his Biometrics Lab, Beatrice and Frances Cave-Brown-Cave.

1910s

During World War I, Karl Pearson and his Biometrics Lab helped produce ballistics calculations for the British Ministry of Munitions. Beatrice Cave-Brown-Cave helped calculate trajectories for bomb shells. In 1916, Cave-Brown-Cave left Pearson's employ and started working full-time for the Ministry. In the United States, women computers were hired to calculate ballistics in 1918, working in a building on the Washington Mall. One of the women, Elizabeth Webb Wilson, worked as the chief computer. After the war, women who worked as ballistics computers for the U.S. government had trouble finding jobs in computing and Wilson eventually taught high school math.

1920s

A group of operators working on an AT&T telephone switchboard

In the early 1920s, Iowa State College, professor George Snedecor worked to improve the school's science and engineering departments, experimenting with new punch-card machines and calculators. Snedecor also worked with human calculators most of them women, including Mary Clem. Clem coined the term "zero check" to help identify errors in calculations. The computing lab, run by Clem, became one of the most powerful computing facilities of the time.

Women computers also worked at the American Telephone and Telegraph company. These human computers worked with electrical engineers to help figure out how to boost signals with vacuum tube amplifiers. One of the computers, Clara Froelich, was eventually moved along with the other computers to their own division where they worked with a mathematician, Thornton Fry, to create new computational methods. Froelich studied IBM tabulating equipment and desk calculating machines to see if she could adapt the machine method to calculations.

Edith Clarke was the first woman to earn a degree in electrical engineering and who worked as the first professionally employed electrical engineer in the United States. She was hired by General Electric as a full engineer in 1923. Clarke also filed a patent in 1921 for a graphical calculator to be used in solving problems in power lines. It was granted in 1925.

1930s

The National Advisory Committee for Aeronautics (NACA) which became NASA hired a group of five women in 1935 to work as a computer pool. The women worked on the data coming from wind tunnel and flight tests.

1940s

Woman working on a Bombe computing device.
Woman working on a Bombe computing device.

"Tedious" computing and calculating was seen as "women's work" through the 1940s resulting in the term "kilogirl", invented by a member of the Applied Mathematics Panel in the early 1940s. A kilogirl of energy was "equivalent to roughly a thousand hours of computing labor." While women's contributions to the United States war effort during World War II was championed in the media, their roles and the work they did was minimized. This included minimizing the complexity, skill and knowledge needed to work on computers or work as human computers. During WWII, women did most of the ballistics computing, seen by male engineers as being below their level of expertise. Black women computers worked as hard (or more often, twice as hard) as their white counterparts, but in segregated situations. By 1943, almost all people employed as computers were women.

NACA expanded its a pool of women human computers in the 1940s. NACA recognized in 1942 that "the engineers admit themselves that the girl computers do the work more rapidly and accurately than they could." In 1943 two groups, segregated by race, worked on the east and west side of Langley Air Force Base. The black women were the West Area Computers. Unlike their white counterparts, the black women were asked by NACA to re-do college courses they had already passed and many never received promotions.

Women were also working on ballistic missile calculations. In 1948, women such as Barbara Paulson were working on the WAC Corporal, determining trajectories the missiles would take after launch.

Women worked with cryptography and, after some initial resistance, many operated and worked on the Bombe machines. Joyce Aylard operated the Bombe machine testing different methods to break the Enigma code. Joan Clarke was a cryptographer who worked with her friend, Alan Turing, on the Enigma machine at Bletchley Park. When she was promoted to a higher salary grade, there were no positions in the civil service for a "senior female cryptanalyst," and she was listed as a linguist instead. While Clarke developed a method of increasing the speed of double-encrypted messages, unlike many of the men, her decryption technique was not named after her. Other cryptographers at Bletchley included Margaret Rock, Mavis Lever (later Batey), Ruth Briggs and Kerry Howard. In 1941, Batey's work enabled the Allies to break the Italian's naval code before the Battle of Cape Matapan. In the United States, several faster Bombe machines were created. Women, like Louise Pearsall, were recruited from the WAVES to work on code breaking and operate the American Bombe machines.

Hedy Lamarr and co-inventor, George Antheil, worked on a frequency hopping method to help the Navy control torpedoes remotely. The Navy passed on their idea, but Lamarr and Antheil received a patent for the work on August 11, 1942. This technique would later be used again, first in the 1950s at Sylvania Electronic Systems Division and is used in everyday technology such as Bluetooth and Wi-Fi.

Marlyn Wescoff, standing, and Ruth Lichterman reprogram the ENIAC in 1946.
Marlyn Wescoff, standing, and Ruth Lichterman reprogram the ENIAC in 1946.

The programmers of the ENIAC computer in 1944, were six female mathematicians; Marlyn Meltzer, Betty Holberton, Kathleen Antonelli, Ruth Teitelbaum, Jean Bartik, and Frances Spence who were human computers at the Moore School's computation lab. Adele Goldstine was their teacher and trainer and they were known as the "ENIAC girls." The women who worked on ENIAC were warned that they would not be promoted into professional ratings which were only for men. Designing the hardware was "men's work" and programming the software was "women's work." Sometimes women were given blueprints and wiring diagrams to figure out how the machine worked and how to program it. They learned how the ENIAC worked by repairing it, sometimes crawling through the computer, and by fixing "bugs" in the machinery. Even though the programmers were supposed to be doing the "soft" work of programming, in reality, they did that and fully understood and worked with the hardware of the ENIAC. When the ENIAC was revealed in 1946, Goldstine and the other women prepared the machine and the demonstration programs it ran for the public. None of their work in preparing the demonstrations was mentioned in the official accounts of the public events. After the demonstration, the university hosted an expensive celebratory dinner to which none of the ENIAC six were invited.

In Canada, Beatrice Worsley started working at the National Research Council of Canada in 1947 where she was an aerodynamics research officer. A year later, she started working in the new Computational Centre at the University of Toronto. She built a differential analyzer in 1948 and also worked with IBM machines in order to do calculations for Atomic Energy of Canada Limited. She went to study the EDSAC at the University of Cambridge in 1949. She wrote the program that was run the first time EDSAC performed its first calculations on May 6, 1949.

Grace Hopper was the first person to create a compiler for a programming language and one of the first programmers of the Harvard Mark I computer, an electro-mechanical computer based on Analytical Engine. Hopper's work with computers started in 1943, when she started working at the Bureau of Ordnance's Computation Project at Harvard where she programmed the Harvard Mark I. Hopper not only programmed the computer, but created a 500 page comprehensive manual for it. Even though Hopper created the manual which was widely cited and published, she was not specifically credited in the manual. Hopper is often credited with the coining of the term "bug" and "debugging" when a moth caused the Mark II to malfunction. While a moth was found and the process of removing it called "debugging," the terms were already part of the language of programmers.

1950s

Annie Easley in NASA in 1955.

Grace Hopper continued to contribute to computer science through the 1950s. She brought the idea of using compilers from her time at Harvard to UNIVAC which she joined in 1949. Other women who were hired to program UNIVAC included Adele Mildred Koss, Frances E. Holberton, Jean Bartik, Frances Morello and Lillian Jay. To program the UNIVAC, Hopper and her team used the FLOW-MATIC programming language, which she developed. Holberton wrote a code, C-10, that allowed for keyboard inputs into a general-purpose computer. Holberton also developed the Sort-Merge Generator in 1951 which was used on the UNIVAC I. The Sort-Merge Generator marked the first time a computer "used a program to write a program." Holberton suggested that computer housing should be beige or oatmeal in color which became a long-lasting trend. Koss worked with Hopper on various algorithms and a program that was a precursor to a report generator.

The NACA, and subsequently NASA, recruited women computers following World War II. By the 1950s, a team was performing mathematical calculations at the Lewis Research Center in Cleveland, Ohio, including Annie Easley, Katherine Johnson and Kathryn Peddrew. At the National Bureau of Standards, Margaret R. Fox was hired to work as part of the technical staff of the Electronic Computer Laboratory in 1951.

At Convair Aircraft Corporation, Joyce Currie Little was one of the original programmers for analyzing data received from the wind tunnels. She used punch cards on an IBM 650 which was located in a different building from the wind tunnel. To save time in the physical delivery of the punch cards, she and her colleague, Maggie DeCaro, put on roller skates to get to and from the building faster.

In Israel, Thelma Estrin worked on the design and development of WEIZAC, one of the world's first large-scale programmable electronic computers. In the Soviet Union the IT industry was dominated by women; a team of them designed the first digital computer in 1951. In the UK, Kathleen Booth worked with her husband, Andrew Booth on several computers at Birkbeck College. Kathleen Booth was the programmer and Andrew built the machines.

1960s

PFC Patricia Barbeau operates a tape-drive on the IBM 729 at Camp Smith.
PFC Patricia Barbeau operates a tape-drive on the IBM 729 at Camp Smith.

Adele Mildred Koss, who had worked at UNIVAC with Hopper, started work at Control Data Corporation (CDC) in 1965. There she developed algorithms for graphics, including graphic storage and retrieval.

Mary K. Hawes of Burroghs Corporation set up a meeting in 1959 to discuss the creation a computer language that would be shared between businesses. Six people, including Hopper, attended to discuss the philosophy of creating a common business language (CBL). Hopper became involved in developing COBOL (Common Business Oriented Language) where she innovated new symbolic ways to write computer code. Hopper developed programming language that was easier to read and "self-documenting." After COBOL was submitted to the CODASYL Executive Committee, Betty Holberton did further editing on the language before it was submitted to the Government Printing Office in 1960. IBM were slow to adopt COBOL, which hindered its progress but it was accepted as a standard in 1962, after Hopper had demonstrated the compiler working both on UNIVAC and RCA computers. The development of COBOL led to the generation of compilers and generators, most of which were created or refined by women such as Koss, Nora Moser, Deborah Davidson, Sue Knapp, Gertrude Tierney and Jean E. Sammet.

Sammet, who worked at IBM starting in 1961 was responsible for developing the programming language, FORMAC. She published a book, Programming Languages: History and Fundamentals (1969), which was considered the "standard work on programming languages," according to Denise Gürer  It was "one of the most used books in the field," according to The Times in 1972.

Between 1961 and 1963, Margaret Hamilton began to study software reliability while she was working at the US SAGE air defense system.

Katherine Johnson working at NASA in 1966

In 1964, the British Prime Minister Harold Wilson announced a "White-Hot" revolution in technology, that would give greater prominence to IT work. As women still held most computing and programming positions at this time, it was hoped that it would give them more positive career prospects. In 1965, Sister Mary Kenneth Keller became the first American woman to earn a doctorate in computer science. Keller helped develop BASIC while working as a graduate student at Dartmouth, where the university "broke the 'men only' rule" so she could use its computer science center.

Christine Darden began working for NASA's computing pool in 1967 having graduated from the Hampton Institute. Women were involved in the development of Whirlwind, including Judy Clapp. She created the prototype for an air defense system for Whirlwind which used radar input to track planes in the air and could direct aircraft courses.

In 1969, Elizabeth "Jake" Feinler, who was working for Stanford, made the first Resource Handbook for ARPANET. This led to the creation of the ARPANET directory, which was built by Feinler with a staff of mostly women. Without the directory, "it was nearly impossible to navigate the ARPANET."

By the end of the decade, the general demographics of programmers had shifted away from being predominantly women, as they had before the 1940s. Though women accounted for around 30 to 50 percent of computer programmers during the 1960s, few were promoted to leadership roles and women were paid significantly less than their male counterparts. Cosmopolitan ran an article in the April 1967 issue about women in programming called "The Computer Girls." Even while magazines such as Cosmopolitan saw a bright future for women in computers and computer programming in the 1960s, the reality was that women were still being marginalized.

1970s

Using an NCR 796-201 cathode-ray terminal, circa 1972.
Using an NCR 796-201 cathode-ray terminal, circa 1972.

In the early 1970s, Pam Hardt-English led a group to create a computer network they named Resource One and which was part of a group called Project One. Her idea to connect Bay Area bookstores, libraries and Project One was an early prototype of the Internet. To work on the project, Hardt-English obtained an expensive SDS-940 computer as a donation from TransAmerica Leasing Corporation in April 1972. They created an electronic library and housed it in a record store called Leopold's in Berkeley. This became the Community Memory database and was maintained by hacker, Jude Milhon. After 1975, the SDS-940 computer was repurposed by Sherry Reson, Mya Shone, Chris Macie and Mary Janowitz to create a social services database and a Social Services Referral Directory. Hard copies of the directory, printed out as a subscription service, were kept at city buildings and libraries. The database was maintained and in use until 2009.

In the early 1970s, Elizabeth "Jake" Feinler, who worked on the Resource Directory for ARPANET, and her team created the first WHOIS directory. Feinler set up a server at the Network Information Center (NIC) at Stanford which would work as a directory that could retrieve relevant information about a person or entity. She and her team worked on the creation of domains, with Feinler suggesting that domains be divided by categories based on where the computers were kept. For example, military computers would have the domain of .mil, computers at educational institutions would have .edu. Feinler worked for NIC until 1989.

Jean E. Sammet served as the first woman president of the Association for Computing Machinery (ACM), holding the position between 1974 and 1976.

Adele Goldberg was one of seven programmers that developed Smalltalk in the 1970s, and wrote the majority of the language's documentation. It was one of the first object-oriented programming languages the base of the current graphic user interface, that has its roots in the 1968 The Mother of All Demos by Douglas Engelbart. Smalltalk was used by Apple to launch Apple Lisa in 1983, the first personal computer with a GUI, and a year later its Macintosh. Windows 1.0, based on the same principles, was launched a few months later in 1985.

In the late 1970s, women such as Paulson and Sue Finley wrote programs for the Voyager mission. Voyager continues to carry their codes inside its own memory banks as it leaves the solar system. In 1979, Ruzena Bajcsy founded the General Robotics, Automation, Sensing and Perception (GRASP) Lab at the University of Pennsylvania.

In the mid-70s, Joan Margaret Winters began working at IBM as part of a "human factors project," called SHARE. In 1978, Winters was the deputy manager of the project and went on to lead the project between 1983 and 1987. The SHARE group worked on researching how software should be designed to consider human factors.

Erna Schneider Hoover developed a computerized switching system for telephone calls that would replace switchboards. Her software patent for the system, issued in 1971, was one of the first software patents ever issued.

1980s

Shelley Lake working on computer graphics at Digital Productions, 1983.
Shelley Lake working on computer graphics at Digital Productions, 1983.

Gwen Bell developed the Computer Museum in 1980. The museum, which collected computer artifacts became a non-profit organization in 1982 and in 1984, Bell moved it to downtown Boston. Adele Goldberg served as president of ACM between 1984 and 1986. In 1986, Lixia Zhang was the only woman and graduate student to participate in the early Internet Engineering Task Force (IETF) meetings. Zhang was involved in early Internet development.

Sometimes known as the "Betsy Ross of the personal computer," according to the New York Times, Susan Kare worked with Steve Jobs to design the original icons for the Macintosh. Kare designed the moving watch, paintbrush and trash can elements that made using a Mac user-friendly. Kare worked for Apple until the mid 1980s, going on to work on icons for Windows 3.0. Other types of computer graphics were being developed by Nadia Magnenat Thalmann in Canada. Thalmann started working on computer animation to develop "realistic virtual actors" first at the University of Montréal in 1980 and later in 1988 at the École Polytechnique Fédérale de Lausanne.

In the field of human computer interaction (HCI), French computer scientist, Joëlle Coutaz developed the presentation-abstraction-control (PAC) model in 1987. She founded the User Interface group at the Laboratorire de Génie Informatique of IMAG where they worked on different problems relating to user interface and other software tools.

As Ethernet became the standard for networking computers locally, Radia Perlman, who worked at Digital Equipment Corporation (DEC), was asked to "fix" limitations that Ethernet imposed on large network traffic. In 1985, Perlman came up with a way to route information packets from one computer to another in an "infinitely scalable" way that allowed large networks like the Internet to function. Her solution took less than a few days to design and write up. The name of the algorithm she created is the Spanning Tree Protocol. In 1988, Stacy Horn, who had been introduced to bulletin board systems (BBS) through The WELL, decided to create her own online community in New York, which she called the East Coast Hang Out (ECHO). Horn invested her own money and pitched the idea for ECHO to others after bankers refused to hear her business plan. Horn built her BBS using UNIX, which she and her friends taught to one another. Eventually ECHO moved an office in Tribeca in the early 1990s and started getting press attention. ECHO's users could post about topics that interested them, chat with on another and were provided email accounts.[132] Around half of ECHO's users were women. ECHO is still online as of 2018.

Computer and video games became popular in the 1980s, but many were primarily action-oriented and not designed from a woman's point of view. Stereotypical characters such as the damsel in distress featured prominently and consequently were not inviting towards women. Dona Bailey designed Centipede, where the player shoots insects, as a reaction to such games, later saying "It didn't seem bad to shoot a bug". Carol Shaw, considered to be the first modern female games designer, released a 3D version of Tic-tac-toe for the Atari 2600 in 1980. Roberta Williams and her husband Ken, founded Sierra Online and pioneered the graphic adventure game format in Mystery House and the King's Quest series. The games had a friendly graphical user interface and introduced humor and puzzles. Cited as an important game designer, her influenced spread from Sierra to other companies such as LucasArts and beyond. Brenda Laurel worked on porting games from arcade versions to the Atari 400 and Atari 800 computers in the late 1970s and early 1980s. She then went to work for Activision, writing the manual for Maniac Mansion.

1984 was the year of Women Into Science and Engineering (WISE). A 1984 report by Ebury Publishing reported that in a typical family, only 5% of mothers and 19% of daughters were using a computer at home, compared to 25% of fathers and 51% of sons. To counteract this, the company launched a series of software titles designed towards women and publicised in Good Housekeeping. Anita Borg, who had been noticing that women were under-represented in computer science, founded an email support group, Systers, in 1987.

1990s

Jaime Levy helped popularise the e-Zine in the 1990s.

By the 1990s, computing was dominated by men. The proportion of female computer science graduates peaked in 1984 around 37 per cent, and then steadily declined. Although the end of the 20th century saw an increase in women scientists and engineers, this did not hold true for computing, which stagnated. Despite this, they were very involved in working on hypertext and hypermedia projects in the late 1980s and early 1990s. A team of women at Brown University, including Nicole Yankelovich and Karen Catlin, developed Intermedia and invented the anchor link. Apple partially funded their project and incorporated their concepts into Apple operating systems. Sun Microsystems Sun Link Service was developed by Amy Pearl. Janet Walker developed the first system to use bookmarks when she created the Symbolics Document Examiner. In 1989, Wendy Hall created a hypertext project called Microcosm, which was based on digitized multimedia material found in the Mountbatten archive. Cathy Marshall worked on the NoteCards system at Xerox PARC. NoteCards went on to influence Apple's HyperCard. As the Internet became the World Wide Web, developers like Hall adapted their programs to include Web viewers. Her Microcosm was especially adaptable to new technologies, including animation and 3-D models. In 1994, Hall helped organize the first conference for the Web.

Sarah Allen, the co-founder of After Effects, co-founded a commercial software company called CoSA in 1990. In 1995, she started working on the Shockwave team for Macromedia where she was the lead developer of the Shockwave Mulituser Server, the Flash Media Server and Flash video.

Following the increased popularity of the Internet in the 1990s, online spaces were set up to cater for women, including the online community Women's WIRE and the technical and support forum LinuxChix. Women's WIRE, launched by Nancy Rhine and Ellen Pack in October 1993, was the first Internet company to specifically target this demographic. A conference for women in computer-related jobs, the Grace Hopper Celebration of Women in Computing, was first launched in 1994 by Anita Borg.

Game designer Brenda Laurel started working at Interval Research in 1992, and began to think about the differences in the way girls and boys experienced playing video games. After interviewing around 1,000 children and 500 adults, she determined that games weren't designed with girls' interests in mind. The girls she spoke with wanted more games with open worlds and characters they could interact with. Her research led to Interval Research giving Laurel's research team their own company in 1996, Purple Moon. Also in 1996, Mattel's game, Barbie Fashion Designer, became the first best-selling game for girls. Purple Moon's first two games based on a character called Rockett, made it to the 100 best-selling games in the years they were released. In 1999, Mattel bought out Purple Moon.

Jaime Levy created the one of the first e-Zines in the early 1990s, starting with CyberRag, which included articles, games and animations loaded onto diskettes that anyone with a Mac could access. Later, she renamed the zine to Electronic Hollywood. Billy Idol commissioned Levy to create a disk for his album, Cyberpunk. She was hired to be the creative director of the online magazine, Word, in 1995.

Cyberfeminists, VNS Matrix, made up of Josephine Starrs, Juliane Pierce, Francesca da Rimini and Virginia Barratt, created art in the early 1990s linking computer technology and women's bodies. In 1997, there was a gathering of cyberfeminists in Kassel, called the First Cyberfeminist International.

In China, Hu Qiheng, was the leader of the team who installed the first TCP/IP connection for China, connecting to the Internet on April 20, 1994. In 1995, Rosemary Candlin went to write software for CERN in Geneva.

2000s

Marissa Mayer
Former vice-president of Google Search Products and User Experience, former president and CEO of Yahoo!, Marissa Mayer.

In the 21st century, several attempts have been made to reduce the gender disparity in IT and get more women involved in computing again. A 2001 survey found that while both sexes use computers and the internet in equal measure, women were still five times less likely to choose it as a career or study the subject beyond standard secondary education. Journalist Emily Chang said a key problem has been personality tests in job interviews and the belief that good programmers are introverts, which tends to self-select the stereotype of an antisocial white male nerd.

In 2004, the National Center for Women & Information Technology was established by Lucy Sanders to address the gender gap. Carnegie Mellon University has made a concerted attempt to increase gender diversity in the computer science field, by selecting students based on a wide criteria including leadership ability, a sense of "giving back to the community" and high attainment in maths and science, instead of traditional computer programming expertise. As well as increase the intake of women into CMU, the programme resulted in better quality students overall, as they found the increased diversity made for a stronger team.

2010s

Despite the pioneering work of some designers, video games are still considered biased towards men. A 2013 survey by the International Game Developers Association revealed only 22% of game designers are women, although this is substantially higher than figures in previous decades. Working to bring inclusion to the world of open source project development, Coraline Ada Ehmke drafts the Contributor Covenant in 2014. By 2018, over 40,000 software projects have started using the Contributor Covenant, including TensorFlow, Vue and Linux.

In 2017, Michelle Simmons founded the first quantum computing company in Australia. The team, which has made "great strides" in 2018, plans to develop a 10-qubit prototype silicon quantum integrated circuit by 2022. Also in 2017, Doina Precup became the head of DeepMind Montreal, working on artificial intelligence.

Gender gap in computing

One of the biggest problems facing women in computing in the modern era is that they often find themselves working in an environment that is largely unpleasant, so they don't stay on in the careers in programming and technology. In 2013, a National Public Radio report said 20% of computer programmers in the US are female. There is no general consensus for any key reason there are less women in computing. In 2017, James Damore was fired from Google after claiming there was a biological reason for a lack of female computer scientists. The following year, Wikipedia was criticised for not having an article about scientist Donna Strickland until shortly after she won the Nobel Prize for Physics, which was attributed to a severe gender disparity of the site's editors.

In 1991, Massachusetts Institute of Technology undergraduate Ellen Spertus wrote an essay "Why Are There So Few Women in Computer Science?", which complained about inherent sexism in IT, which was responsible for a lack of women in computing. She subsequently taught computer science at Mills College, Oakland in order to increase interest in IT for women. A key problem is a lack of female role models in the IT industry, alongside computer programmers in fiction and the media generally being male. The University of Southampton's Wendy Hall has said the attractiveness of computers to women decreased significantly in the 1980s when they "were sold as toys for boys", and believes the cultural stigma has remained ever since, and may even be getting worse. Kathleen Lehman, project manager of the BRAID Initiative at UCLA has said a problem is that typically women aim for perfection and feel disillusioned when code does not compile, whereas men may simply treat it as a learning experience. A report in the Daily Telegraph suggested that women generally prefer people-facing jobs, which many computing and IT positions do not have, while men prefer jobs geared towards objects and tasks.

The gender disparity in IT is not global. The ratio of female to male computer scientists is significantly higher in India compared to the West. In Europe, Bulgaria and Romania have the highest rates of women going into computer programming. In government universities in Saudi Arabia in 2014, Arab women made up 59% of students enrolled in computer science. However, the ratio of African American female computer scientists in the US is significantly lower than the national average. It has been suggested there is a greater gap in countries where people of both sexes are treated more equally, contradicting any theories that society in general is to blame for any disparity.

Turing Award recipients

Shafi Goldwasser
Shafi Goldwasser was the 2012 Turing award recipient for her collaborative work in cryptography.

The Association for Computing Machinery Turing Award, sometimes referred to as the "Nobel Prize" of computing, was named in honor of Alan Turing. It award has been won by three women between 1966 and 2015.

Karen Spärk Jones Award recipients

The British Computer Society Information Retrieval Specialist Group (BCS IRSG) in conjunction with the British Computer Society created an award in 2008 to commemorate the achievements of Karen Spärck Jones, a Professor Emerita of Computers and Information at the University of Cambridge and one of the most remarkable women in computer science. The KSJ award has been won by four women between 2009 and 2017:

Organizations

Several important groups have been established to encourage women in the IT industry. The Association for Women in Computing was one of the first and is dedicated to promoting the advancement of women in computing professions. The CRA-W: Committee on the Status of Women in Computing Research established in 1991 focused on increasing the number of women in Computer Science and Engineering (CSE) research and education at all levels. AnitaB.org runs the Grace Hopper Celebration of Women in Computing yearly conference. The National Center for Women & Information Technology is a nonprofit that aims to increase the number of women in technology and computing. The Women in Technology International (WITI) is a global organization dedicated to the advancement of women in business and technology.

Some major societies and groups have offshoots dedicated to women. The Association for Computing Machinery's Council on Women in Computing (ACM-W) has over 36,000 members. BCSWomen is a women-only specialist group of the British Computer Society, founded in 2001. In Ireland, the charity Teen Turn run after school training and work placements for girls, and Women in Technology and Science (WITS) advocate for the inclusion and promotion of women within STEM industries.

The Women's Technology Empowerment Centre (W.TEC) is a non-profit organisation focused on providing technology education and mentoring to Nigerian women and girls. Black Girls Code is a non-profit focused on providing technology education to young African-American women.

Other organisations dedicated to women in IT include Girl Develop It, a nonprofit organization that provides affordable programs for adult women interested in learning web and software development in a judgment-free environment, Girl Geek Dinners, an International group for women of all ages, Girls Who Code: a national non-profit organization dedicated to closing the gender gap in technology, LinuxChix, a women-oriented community in the open source movement and Systers, a moderated listserv dedicated to mentoring women in the IT industry.

Rydberg atom

From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Rydberg_atom Figure 1: Electron orbi...