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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
Rohde, Jacqueline; Musselman, Lisa; Benedict, Brianna; Verdin, Dina; Godwin, Allison; Kirn, Adam; Benson, Lisa; Potvin, Geoff – IEEE Transactions on Education, 2019
Contribution: This paper found that design experiences can foster engineering identity and belongingness for early career electrical and computer engineering students. Students had different interpretations of what it meant to be an engineer (identity) and their belongingness in engineering. This paper provides novel insights into how students may…
Descriptors: Design, Engineering Education, Self Concept, Engineering
Matta, Vic; Luce, Thom; Ciavarro, Gina – Information Systems Education Journal, 2011
Creation of teams in professional and student contexts has been well researched and written about. The research landscape can be divided into instructor selected and student selected teams, both of which have advantages and disadvantages. The purpose of this paper is to combine the two techniques for creating teams in an effort to maximize the…
Descriptors: Teamwork, Academic Ability, Student Attitudes, Peer Groups

Petersen, Charles G.; Howe, Trevor G. – AEDS Journal, 1979
Biographical, tempermental, and aptitude data were collected for two semesters from students enrolled in an introductory computer class. Only college grade point average and general intelligence contributed significantly to the model. (Author/IRT)
Descriptors: Academic Ability, Academic Achievement, College Students, Computer Science Education