Shao-Hsun Chang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Shao-Hsun Chang is a prominent researcher in the intersection of artificial intelligence in education (AIED) and technical education, with a focus on curriculum design and learner motivation. His major contributions include pioneering the integration of motivation theory into AIED curricula, as demonstrated in his highly cited 2025 study, which examines how such integration enhances learning outcomes and the role of computer self-efficacy in shaping students' intentions to continue AI learning. This work has garnered 6 citations, reflecting its timely impact on the field. Dr. Chang's research addresses critical gaps in understanding how curriculum design can optimize educational technology, offering practical insights for educators and policymakers. His notable achievements include advancing the theoretical framework for AIED by linking motivational constructs to technical skill development, thereby influencing both pedagogical practices and future research directions. Through his rigorous empirical studies, Dr. Chang has established himself as a key voice in shaping the future of technical education, ensuring that AI learning is not only effective but also engaging and sustainable for diverse learners.
Research Focus
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Top Papers
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