This article-format dissertation addresses elementary student and teacher attitudes and self-efficacy for computer science. The first article (Mason & Rich, in press) describes what the literature says about preservice and inservice training to help K-6 teachers increase knowledge and self-efficacy to teach computer science. The second article (Mason, West, & Leary, under review) describes an effort to provide training for local elementary school teachers to teach computational thinking with robots. The third article (Mason & Rich, under review) describes how we developed and validated an instrument to assess K-8 students' coding attitudes and beliefs, including perceived self-efficacy, interest, utility value, gender stereotypes, cultural stereotypes, and social value.
College and Department
David O. McKay School of Education; Instructional Psychology and Technology
BYU ScholarsArchive Citation
Mason, Stacie Lee, "Teaching K-6 Computer Science: Teacher and Student Attitudes and Self-Efficacy" (2019). Theses and Dissertations. 9074.
coding, computer science, elementary students, primary students, self-efficacy, attitudes