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Characteristics of High and Low Performing Students’ Computational Thinking Facets Based on Structural Topic Modeling
PROCEEDING

, , Texas Tech University, United States

Society for Information Technology & Teacher Education International Conference, in San Diego, CA, United States ISBN 978-1-939797-61-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

Abstract

Computational thinking in computer science education requires a range of competencies to complete various projects. To improve computational thinking skills, students need to not only possess computational thinking concepts, but apply systematic approaches to solve problems. This study aims to identify differences between high- and low-performing students by analyzing students’ coding journals describing process of programing and testing their projects. We analyzed a total of 152 journals of 73 students using the structural topic modeling methodological approach. Finding shows differences in prevalent CT facets in high- and low-performing groups. We suggest more frequent debugging activities and more segmented, and multiple levels of CT activities to improve computational thinking skills.

Citation

Park, E. & Cheon, J. (2022). Characteristics of High and Low Performing Students’ Computational Thinking Facets Based on Structural Topic Modeling. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 80-85). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved May 16, 2022 from .