Abstract

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.

Degree

PhD

College and Department

David O. McKay School of Education

Rights

https://lib.byu.edu/about/copyright/

Date Submitted

2019-12-09

Document Type

Dissertation

Handle

http://hdl.lib.byu.edu/1877/etd11712

Keywords

coding, computer science, elementary students, primary students, self-efficacy, attitudes

Language

english

Included in

Education Commons

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