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.
Identifer | oai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-10083 |
Date | 09 December 2019 |
Creators | Mason, Stacie Lee |
Publisher | BYU ScholarsArchive |
Source Sets | Brigham Young University |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Theses and Dissertations |
Rights | https://lib.byu.edu/about/copyright/ |
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