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Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation
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Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills