Rate My Professor Eun Chu

Dr. Hye-Eun Chu is a Senior Lecturer in Education in the Macquarie School of Education at Macquarie University. She joined the Department of Educational Studies as a Lecturer in January 2015, advancing to Senior Lecturer. Before Macquarie, she was Assistant Professor in the Natural Sciences and Science Education Academic Group at the National Institute of Education, Nanyang Technological University, Singapore (2008-2015), where she coordinated and taught courses in physics teaching methods, assessment in science, and science education research methods. Previously, as Postdoctoral Research Fellow at Curtin University, Perth (2005-2008), she collaborated with Prof. David F. Treagust on developing two-tier diagnostic assessment questions for teachers' lesson design and classroom assessment. She also worked as Teaching and Research Fellow at Dankook University, Korea (2003-2005), teaching physics and science education courses and leading a Korean students' environmental literacy project across nine schools involving over 7,000 students in Years 3, 5, 8, and 11. Chu holds an Ed.D. in Science Education, an M.Sc. in Physics Education, and a B.Sc. in Science Education from Dankook University.

Dr. Chu's research has centered on science education, encompassing monitoring students’ understanding of science concepts, implementing formative assessment, interdisciplinary STEAM approaches to science teaching, affective factors in science learning, conceptual development through text analysis, environmental literacy, student beliefs' influence on learning, and lately AI in education. She teaches secondary science pedagogy courses, encouraging student teachers to apply evidence-based methods linking science to everyday life. Her publications appear in prominent journals such as Research in Science Education, International Journal of Science Education, and Asia-Pacific Science Education, including "Naïve students' conceptual development and beliefs: The need for multiple representations in science textbooks" (2008), "A framework for defining scientific concepts in science education" (2020), "Improving science conceptual understanding and attitudes in elementary science classes through the development and application of a rule-based AI chatbot" (2023), "Developing an evaluation rubric for planning and assessing SSI-based STEAM programs in science classrooms" (2023), and "Enhancing Science Learning with a UDL-Informed AI Chatbot: A Study on Grade 6 Optics" (2025). With 1,493 citations and an h-index of 20 (Google Scholar), her contributions enhance innovative strategies in science education. She has given invited lectures on topics like AI competency for teachers, STEAM programs, and design-based research.