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Advancing diversity in human centered data science education through games
Author(s) -
Herman Bernease,
Aragon Cecilia,
Evans Sarah,
Shanley Lea
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.314
Subject(s) - diversity (politics) , science and engineering , science education , computer science , psychology , engineering ethics , data science , mathematics education , sociology , engineering , anthropology
Abstract Educational games, particularly those that encourage collaboration with peers and focusing on social and ethical issues, may be powerful in improving retention of human computer interaction (HCI) and human centered data science (HCDS) concepts among young people by providing strong emotional experiences. Further, games have the potential of reaching a wider and more diverse population than formal education. We draw upon prior experience with improving diversity in science, technology, engineering, and mathematics (STEM) as well as experience building and deploying HCDS games to suggest novel uses of gaming to increase the retention of concepts in HCI and data science among diverse learners.