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

Authors:
Publisher website
Google Scholar
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.
Funding Information
  • CanCode Callysto (RES0047202)
  • Social Sciences and Humanities Research Council of Canada Insight (RES0048110)
  • Natural Sciences and Engineering Research Council under Discovery (RES0043209)

This publication has 31 references indexed in Scilit: