paper-with-me

Papers

The Long-Term Effects of Teachers' Gender Stereotypes

2022-12-16 · Joan Martinez

This paper studies the effects of teachers' stereotypical assessments of boys and girls on students' long-term outcomes, including high school graduation, college attendance, and formal sector employment. I measure teachers' gender stereotypical grading based on preconceptions about boys' aptitude in math and science and girls' aptitude in communicating and verbal skills by analyzing novel data on teachers' responses to the Implicit Association Test (IAT) and differences in gender gaps between teacher-assigned and blindly graded tests. To collect IAT scores on a national scale, I developed a large-scale educational program accessible to teachers and students in Peruvian public schools. This analysis provides evidence that teachers' gender stereotypes are reflected in student evaluations: math teachers with stronger stereotypes associating boys with scientific disciplines award male students with higher test scores compared to blindly-graded test scores. In contrast, language arts teachers who stereotypically associate females with humanities-based disciplines give female students higher grades. Using graduation, college enrollment, and matched employer-employee data on 1.7 million public high school students expected to graduate between 2015 and 2019, I find that female students who are placed with teachers who use more stereotypical grading practices are less likely to graduate from high school and apply to college than male students. In comparison to their male counterparts, female high school graduates whose teachers employ more stereotypical grading practices are less likely to be employed in the formal sector and have fewer paid working hours. Furthermore, exposure to teachers with more stereotypical grading practices reduces women's monthly earnings, thereby widening the gender pay gap.

📄 PDF Abstract BibTeX arXiv:2212.08220

Code (0)

등록된 구현이 없습니다.

Tasks

Math

Methods 이 논문이 사용한 방법론

Test 설명 없음

Similar Papers 제목 키워드 기반

Seeing Stereotypes

2025-03-04 · Elisa Baldazzi, Pietro Biroli, Marina Della Giusta, Florent Dubois

Reliance on stereotypes is a persistent feature of human decision-making and has been extensively documented in educational settings, where it can shape students' confidence, performance, and long-term human capital accu…

Decision MakingSurveyvalid

Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations

2021-05-13 · Amifa Raj, Ashlee Milton, Michael D. Ekstrand

In this position paper, we argue for the need to investigate if and how gender stereotypes manifest in search and recommender systems.As a starting point, we particularly focus on how these systems may propagate and rein…

Position

Effects of Gender Stereotypes on Trust and Likability in Spoken Human-Robot Interaction

2018-05-01 · LREC 2018 5 · Matthias Kraus, Johannes Kraus, Martin Baumann, Wolfgang Minker

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education

2024-10-17 · Iain Weissburg, Sathvika Anand, Sharon Levy, Haewon Jeong

With the increasing adoption of large language models (LLMs) in education, concerns about inherent biases in these models have gained prominence. We evaluate LLMs for bias in the personalized educational setting, specifi…

Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms

2025-03-06 · Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Maria Symeonaki, Giorgos Stamou

Machine Translation (MT) systems frequently encounter gender-ambiguous occupational terms, where they must assign gender without explicit contextual cues. While individual translations in such cases may not be inherently…

BenchmarkingMachine TranslationTranslation