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Enhancing Computational Thinking Through Blended Learning: An Educational Model and Its Evaluation
  • Xihui Wei,
  • Qiong Gu,
  • Xisan Wei
Xihui Wei
Hubei University of Arts and Science
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Qiong Gu
Hubei University of Arts and Science
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Xisan Wei
Hubei University of Arts and Science

Corresponding Author:xfsan@163.com

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Abstract

This paper presents a blended learning framework designed to cultivate computational thinking skills within the context of the "Introduction to Computer Science and Programming" course. By combining online and offline instructional approaches, the proposed model establishes a cohesive educational paradigm that seamlessly integrates computational thinking principles throughout the curriculum. Additionally, an evaluative model is introduced to assess proficiency levels in computational thinking. Through a meticulous analysis of empirical teaching data, the study confirms that the blend of instructional modalities is both a feasible and effective strategy for enhancing computational thinking competencies.
06 Nov 2024Submitted to Engineering Reports
08 Nov 2024Submission Checks Completed
08 Nov 2024Assigned to Editor
08 Nov 2024Review(s) Completed, Editorial Evaluation Pending
12 Nov 2024Reviewer(s) Assigned