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Title: Is Computer Science for Me?: Understanding the Barriers of Enrollment and Engagement in Computer Science Courses in High Schools.
This qualitative research study is part of a larger NSF-funded project entitled "Cogenerative Development of Culturally Relevant Pedagogical Guidelines for Computer Science and Computational Thinking in High Schools." During Year 1 of the project, qualitative semi- structured interviews were conducted with 26 high school students to better understand the challenges and barriers to enrollment in and/or engagement/success in Computer Science courses in high school. A grounded theory approach was used, given the exploratory nature of the study. Students were selected from three regional high schools and had to meet at least one of the criteria associated with underrepresented students in Computer Science: identifying as female; low socioeconomic status; and/or racial/ethnic minority (Black/African American; Hispanic/Latinx/Chicanx; Native American/Alaskan, and Native Hawaiian/Pacific Islander, or multi-racial). Common themes that emerged included the following: Challenges (Financial Factors, Role of Gender (i.e. identifying as female), and Race/Ethnicity Issues); Positive Influences (Role of Teacher, Role of Family); Other Interesting Insights (Wanting to be challenged in Computer Science Classes, Problems with the Marketing of Computer Science as a discipline). Social Identity Theory is used to better understand the experiences of high school students, especially what practices or beliefs keep underrepresented students of Computer Science from enrolling in Computer Science courses in the first place and/or persisting in the Computer Science field. Limitations of the current study are discussed as well as directions for future research and implications for a more culturally relevant pedagogical approach to teaching Computer Science and Computational Thinking in high schools. This project is funded by the National Science Foundation CS for All: Research and RPPs program, Award No. 2122367.  more » « less
Award ID(s):
2122367
PAR ID:
10429633
Author(s) / Creator(s):
Date Published:
Journal Name:
American Sociological Association
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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