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Biography
Dr TAN Seng Chee is the Associate Dean, Office of Graduate Studies and Professional Learning, National Institute of Education (NIE), Nanyang Technological University (NTU). As a former high school chemistry teacher, many of his research studies were related to science learning. His research focuses on exploring and integrating emerging technologies into education, including computer-supported collaborative learning, knowledge building, learning analytics and artificial intelligence. He has developed and taught over 20 courses, ranging from undergraduate to doctoral levels, primarily focusing on educational technologies and learning sciences. In addition to his academic roles, Dr. Tan has served on the editorial boards of journals like Instructional Science and IEEE Transactions on Learning Technologies. He has also conducted workshops and delivered talks in numerous countries, including Australia, Canada, China, Dubai, India, Malaysia, Singapore, South Korea, Taiwan, and Vietnam.
Harnessing AI for Science Education: The Importance of Pedagogical Framing
Harnessing AI for Science Education: The Importance of Pedagogical Framing
There has been an increasing interest in the application of artificial intelligence (AI) in science education (AISE), especially with the growing popularity of generative AI. Systematic reviews of AISE show common topics of investigation like robotics, intelligent tutoring systems, prediction of course performance or effects on learners’ achievement. The literature, however, is relatively silent on the discussion of pedagogical designs or how science learning theories and principles relate to AISE. For example, if the epistemology of science is critical in science education, greater emphasis could be given to learning science through demonstrating ways of thinking and doing science. Consequently, reports of AISE could highlight the roles of AI in supporting designs of investigation, scientific discourse or evaluating scientific reasonings. This talk suggests pedagogical framing of using AI for science education as a critical component in AISE research and presents examples of pedagogical framing.
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