Yu-Han Tseng

Papers

Total Citations

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About

Yu-Han Tseng is a leading researcher at the intersection of artificial intelligence education and learning analytics, with a particular focus on designing accessible AI learning experiences for young children. Her most influential work, "Behavioral-pattern exploration and development of an instructional tool for young children to learn AI" (2021, 48 citations), represents a significant contribution to early AI literacy. In this study, Tseng developed a novel instructional tool specifically tailored for young learners and employed sophisticated learning analytics to map students' sequential behavioral patterns during the learning process. This work is notable for bridging the gap between abstract AI concepts and concrete, developmentally appropriate learning activities. By systematically analyzing how children interact with AI educational tools, Tseng has provided educators and instructional designers with evidence-based insights into effective pedagogical strategies for introducing AI to young minds. Her research not only advances theoretical understanding of how children learn AI concepts but also offers practical frameworks for curriculum development. Tseng's work stands out for its innovative combination of tool development and behavioral analysis, making her a key figure in shaping the future of K-12 AI education.