Document Type
Presentation
Publication Date
6-1-2018
Publication Title
ASEE Annual Conference & Exposition
Abstract
The growing digital economy creates unprecedented demand for technical workers, especially those with both domain knowledge and technical skills. To meet this need, an ACBSS (Applied Computing for Behavioral and Social Sciences) minor degree has been developed by an interdisciplinary team of faculty at San José State University (SJSU). The minor degree comprises four courses: Python programming, algorithms and data structures, R programming, and culminating projects. The first ACBSS cohort started in Fall 2016 with 32 students, and the second cohort in Fall 2017 reached its capacity of 40 students, 62% of whom are female and 35% are underrepresented minority students. Considering ACBSS students’ interest in human behavior and society, pedagogical approaches using relevant examples and projects have been developed and integrated throughout the program. Preliminary assessments show that students appreciated learning programming skills with which to expand their career opportunities while gaining confidence in studying technical subjects. These results show that ACBSS, an interdisciplinary computing education program, offers a promising model in providing computing education to more diverse students for the 21st-century digital workplace.
Recommended Citation
Farshid Marbouti, Valerie Carr, Belle Wei, Morris Jones, and Amy Strage. "Applied Computing for Behavioral and Social Sciences (ACBSS) Minor" ASEE Annual Conference & Exposition (2018).
Included in
Computer Sciences Commons, Curriculum and Instruction Commons, Social and Behavioral Sciences Commons
Comments
© 2018 American Society for Engineering Education. This article originally appeared in the proceedings of the 2018 ASEE Annual Conference, and can also be found online at this link.