Using Structural Equation Modeling to Examine the Relationship Between Preservice Teachers' Computational Thinking Attitudes and Skills

Maria Cutumisu, Catherine Adams, Florence Glanfield, Connie Yuen, Chang Lu

Research output: Contribution to journalJournal Articlepeer-review

4 Citations (Scopus)

Abstract

The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The Callysto CT test (CCTt) for Teachers was administered to $n\,\,=$ 105 PSTs to measure their CT attitudes and skills. Structural equation modeling was used to examine the relationship of participants' CT and problem-solving skills with their attitudes toward CT, technology, coding, and data. Findings revealed that CT attitudes predicted CT skills and provided the first step in exploring the validity and reliability of the CCTt instrument.

Original languageEnglish
Pages (from-to)177-183
Number of pages7
JournalIEEE Transactions on Education
Volume65
Issue number2
DOIs
Publication statusPublished - 1 May 2022

Keywords

  • Attitudes
  • computational thinking (CT)
  • educational assessment
  • skills
  • structural equation modeling (SEM)

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