Measuring Computational Thinking Self-Efficacy: Validation for the Computational Thinking Self-Efficacy (CompTSE) Scale

• In Event: Computers and Learning: Programming and Computational Thinking

Abstract

Computational thinking skills are becoming ever more importance for today’s students and have been deemed as a core component in K-12 education. With the increasing educational opportunities to improve computational thinking, it is critical that researchers and educators have a quality instrument to help them understand how students perceive their computational thinking abilities and how exposure to computational thinking learning experiences affect their perceptions. In this study, we examined the psychometric qualities of the updated version of the Computational Thinking Self-Efficacy (CompTSE) scale, a measure for students’ self-efficacy beliefs about their abilities in computational thinking. Specifically, we examined the internal consistency reliability, construct validity, and content validity of the measure.

Authors

• Yuting Sun, University of Maryland - College Park

• Diane Jass Ketelhut, University of Maryland - College Park

• Jacqueline Leonard, MERAssociates, LLC

• Will J. Jordan, Temple University