{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110537"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110537","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"\"“The modern Mulan of tech\"\": A critical analysis of Asian American women and their experiences in computer science\"","abstract":"Existing research involving Asian American women in STEM explores the intersections of race/ethnicity, gender, and culture in regards to developing identity as a scientist. Many such studies focus on model minority stereotypes, racialized sexism, and familial expectations. This thesis will draw from prior research to investigate another axis of identity — field of study. Specifically, it will examine how Asian American women may be influenced by patterns of bias specific to the field of computer science. Investigating how Asian American women perceive and navigate intersections embodied by identity allows us to critically examine and improve the current climate of computer science. An analysis chapter on race and gender data in computing and STEM will address questions about representation and advancement of Asian American women in computing professions. Finally, this paper proposes culturally relevant pedagogy as an educational framework that could enhance the quality, diversity, and inclusivity of computer science education beyond the classroom.","abstract_html":"Existing research involving Asian American women in STEM explores the intersections of race/ethnicity, gender, and culture in regards to developing identity as a scientist. Many such studies focus on model minority stereotypes, racialized sexism, and familial expectations. This thesis will draw from prior research to investigate another axis of identity — field of study. Specifically, it will examine how Asian American women may be influenced by patterns of bias specific to the field of computer science. Investigating how Asian American women perceive and navigate intersections embodied by identity allows us to critically examine and improve the current climate of computer science. An analysis chapter on race and gender data in computing and STEM will address questions about representation and advancement of Asian American women in computing professions. Finally, this paper proposes culturally relevant pedagogy as an educational framework that could enhance the quality, diversity, and inclusivity of computer science education beyond the classroom.","abstract_has_math":false,"creators":["Lin, Stephanie C"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Lewis, Colleen M"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-05","date_published":"2021-05","updated_at":"2026-07-22T22:24:52Z","subjects":["computer science","computing education","culturally relevant pedagogy","culturally responsive computing","asian american women","diversity","model minority","race and gender"],"languages":["en"],"rights":["Copyright 2021 Stephanie Lin"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110537","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lewis, Colleen M"]},{"key":"dc:creator","label":"Author","values":["Lin, Stephanie C"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-05","2021-09-17T01:11:11Z","2021-04-26"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computer science","computing education","culturally relevant pedagogy","culturally responsive computing","asian american women","diversity","model minority","race and gender"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Stephanie Lin"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110537"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Existing research involving Asian American women in STEM explores the intersections of race/ethnicity, gender, and culture in regards to developing identity as a scientist. Many such studies focus on model minority stereotypes, racialized sexism, and familial expectations. This thesis will draw from prior research to investigate another axis of identity — field of study. Specifically, it will examine how Asian American women may be influenced by patterns of bias specific to the field of computer science. Investigating how Asian American women perceive and navigate intersections embodied by identity allows us to critically examine and improve the current climate of computer science. An analysis chapter on race and gender data in computing and STEM will address questions about representation and advancement of Asian American women in computing professions. Finally, this paper proposes culturally relevant pedagogy as an educational framework that could enhance the quality, diversity, and inclusivity of computer science education beyond the classroom.","Submission original under an indefinite embargo labeled 'Open Access'. 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Specifically, it will examine how Asian American women may be influenced by patterns of bias specific to the field of computer science. Investigating how Asian American women perceive and navigate intersections embodied by identity allows us to critically examine and improve the current climate of computer science. An analysis chapter on race and gender data in computing and STEM will address questions about representation and advancement of Asian American women in computing professions. Finally, this paper proposes culturally relevant pedagogy as an educational framework that could enhance the quality, diversity, and inclusivity of computer science education beyond the classroom.","Submission original under an indefinite embargo labeled 'Open Access'. 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