Unveiling the Associations between Print Color of cCTt and Types of Errors

Ben Avital, Arnon Hershkovitz

Research output: Contribution to journalConference articlepeer-review

Abstract

This research investigates the impact of color scheme on elementary school computational thinking (CT) assessments. The study involved 116 4th-grade Israeli students from diverse socio-economic backgrounds, comparing performance between full color and grayscale versions of the competent Computational Thinking Test (cCTt). Overall, students in the grayscale group performed better than those in the color group. Analysis of error types indicated that grayscale printing reduced errors that depict lower levels of understanding and had no associations with responses that depict higher levels of understanding. The study contributes valuable insights into the role of color in CT assessments, emphasizing the importance of optimizing assessment tools for young learners.

Original languageEnglish
Pages (from-to)39-43
Number of pages5
JournalProceedings of International Conference on Computational Thinking Education
StatePublished - 2024
Event8th APSCE International Conference on Computational Thinking and STEM Education, CTE-STEM 2024 - Beijing, China
Duration: 28 May 202430 May 2024

Keywords

  • Assessment
  • Color
  • Computational Thinking
  • Elementary School
  • Pen-and-Paper test
  • cCTt

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

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