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Teacher Attitudes & Beliefs in Computer Science (T-ABC): Development & Validation of a Teacher Survey Instrument

Published: 14 March 2023 Publication History

Abstract

Instrument development is an important step towards unlocking the analytical power of teacher attitudes and beliefs towards Computer Science (CS). Teacher dispositions have strong empirical and theoretical ties to teacher motivation, professional choices, and classroom practices. To determine consensus desirable attitudes and beliefs, we analyzed 17 key documents produced by 12 national and international organizations associated with CS and the CS education reform movement. An analysis of 98 relevant coded segments yielded four dispositional targets: an equity orientation, a teacher growth mindset, and key beliefs regarding (career) outcomes and epistemology of CS. Statements crafted for these targets as well as self-efficacy were reviewed through an expert panel (N = 5) and a pilot study (N = 22) before the T-ABC was administered to elementary teachers in a large grant-funded outreach project (N = 772). Psychometric analysis demonstrates high reliability (Cronbach’s alpha = 0.89) and satisfactory extraction and loading onto a three factor model, with CS beliefs, growth mindset, and self-efficacy as major factors. Identification and measurements of teacher dispositions enables further analysis of how teacher beliefs may support or hinder effective practice in CS instruction, how teacher populations may differ, and how identified dispositions may change with exposure to various CS learning experiences.

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      cover image ACM Transactions on Computing Education
      ACM Transactions on Computing Education  Volume 23, Issue 2
      June 2023
      364 pages
      EISSN:1946-6226
      DOI:10.1145/3587033
      • Editor:
      • Amy J. Ko
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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 March 2023
      Online AM: 27 October 2022
      Accepted: 07 October 2022
      Revised: 19 August 2022
      Received: 02 February 2022
      Published in TOCE Volume 23, Issue 2

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