Integrating CT in Science Methods: Advancing Practice and Pedagogy

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Ugur Kale
https://orcid.org/0000-0003-2286-5251
Yuanhua Wang
https://orcid.org/0000-0002-3460-1205

Abstract

Despite the importance of computational thinking (CT) as a problem-solving process (Wing, 2008) and the growing spread in teacher education (Yadav et al., 2017), existing initiatives for preservice teachers (PSTs) tend to focus on the computer science domain without making explicit connections to disciplinary classroom settings and promoting critical perspectives. As a cohesive unit, this learning representation aims to assist PSTs in integrating CT into their work as they design and implement science-focused lessons.


Centered around a contextual issue: accessing, growing, and sustaining food, this learning representation employs 2D and 3D block-based programming languages coupled with unplugged activities that demonstrate CT practices, processes, and concepts. PSTs’ group designs, lesson modifications, and full lesson plans provide opportunities for assessment.

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How to Cite
Kale, U., & Wang , Y. (2025). Integrating CT in Science Methods: Advancing Practice and Pedagogy . Journal of Technology-Integrated Lessons and Teaching, 4(1), 20–33. https://doi.org/10.13001/jtilt.v4i1.9339
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Author Biographies

Ugur Kale, Indiana University

Ugur Kale is an Associate Professor in Indiana University’s Learning Design and Adult Education Department. His teaching focuses on instructional design, technology integration, and science education. He also develops and researches innovative approaches that prepare educators to integrate computational thinking.

Yuanhua Wang , West Virginia University

Yuanhua Wang is an Assistant Professor of Science Education in West Virginia University. Her teaching focuses on elementary science education and mathematics education. She researches the implementation of inquiry-based methods in science education as well as STEM teacher knowledge and computational thinking.