Science education is advancing rapidly around the world. In China, the government is placing a greater emphasis on science education through a series of government directives to promote interdisciplinary learning (i.e., STEM education), while in other countries, a new wave of science education reforms prompted by the US Next Generation Science Standard is underway. Along the various reforms in science education, AI is transforming all aspects of science education. The rapid advances in science education call for research to generate new knowledge about science education practices and evidence to inform new science education policies. Scholars of Chinese heritage are major players in science education research in many countries outside China. The 2026 Global Chinese Academy for Science Education Research (GCASER) conference is a platform for Chinese science education researchers from around the world to share their research and form collaboration. It aims to advance science education globally through knowledge generation, theory-informed practices, and evidence-based policies.
- Centre for STEM and AI Education (CSAE)
- Educational Testing and Assessment Research Centre (ETARC)
Faculty of Education (FED), University of Macau
- Macau Association for the Promotion of Education Research (MAPER) 澳門教育研究促進會
- Oct. 31 – Nov. 1, 2026, University of Macau, Macau SAR, China
- Science education researchers (e.g., university faculty members, science popularization researchers, graduate students, and post-doctoral researchers), K-12 science teachers, informal science education professionals, and school administrators and government officers are welcome to attend.
Conference theme:
- Science Education in the Era of Artificial Intelligence: Chartering a Global Shared Vision
Sub-themes:
- Science education policies
- STEM/STEAM education
- Learning and teaching science: K-12
- Learning and teaching science: Undergraduate and graduate
- Science curriculums
- Measurement and evaluation of science education
- Science teacher education
- Science engagement and public understanding of science
- ICT and AI in science education
- Historical, philosophical, social, and cultural issues in science education
- Equity and inclusion in science education.
Proposals for presentations addressing the above theme and sub-themes are welcome. Please see instructions for submitting proposals below.
Joseph Krajcik, Michigan State University
Prof. Joe Krajcik is a University Distinguished Professor and Director of the CREATE for STEM Institute at Michigan State University. Throughout his career, Joe has focused on working with science teachers to design and test learning environments to reform science teaching practices and to research student learning and engagement in project-based learning environments. Joe served as president of the National Association for Research in Science Teaching (NARST) from which he received the Distinguished Contributions to Science Education Through Research Award (DCA) in 2010. In 2020, Joe was elected to the National Academy of Education – an honor received for the most outstanding scholars in education,
Hui Jin, Georgia Southern University
Hui Jin is an associate professor at Georgia Southern University. Before her current position, she was a senior research scientist at the Educational Testing Service (ETS) and assistant professor at the Ohio State University. Hui is widely recognized as a leading researcher on learning progression and formative assessment in science. She is a co-editor (with Joe Krajcik and Duanli Yan) of the book Handbook of research on science Learning Progression (Routledge, 2024). Her research has been funded by the National Science Foundation, Institute of Education Science, among others. Hui is currently exploring using AI to enhance science teachers’ uses of formative assessment in the classrooms.
Shiyan Jiang, University of Pennsylvania
Shiyan Jiang is an associate professor and a learning scientist and interdisciplinary researcher whose work lies at the intersection of artificial intelligence (AI), education, and identity. Her research focuses on two interconnected strands: supporting teachers from diverse disciplinary backgrounds to integrate AI across subjects and designing AI tools that meaningfully enhance teaching and learning. Across both strands, she explores how learners negotiate their sense of self in relation to disciplinary knowledge, digital tools—especially AI—and future possibilities. Through design-based research, she aims to create learning experiences where learners not only acquire new knowledge but also envision themselves in new roles—as critical thinkers, creators, and informed participants in an AI-driven world.
Yew-Jin Lee, National Institute of Education, Nanyang Technological University
Yew-Jin was formerly trained as a secondary school Biology teacher in Singapore. His current interests are in primary science, curriculum research, and scientific ways of knowing. In 2008/9, he was given a Fulbright Academic Exchange Scholarship (2008/9) to study urban science education with City University of New York. Yew-Jin was the past co-editor of Pedagogies: An International Journal (Routledge) and served on the editorial boards of Research in Science Education, Studies in Science Education, Journal of Biological Education, and Asia-Pacific Science Education. He has worked with teachers in many regions and has given talks in Cambodia, China, Chinese Taipei, El Salvador, Hong Kong SAR, Indonesia, Japan, Korea, Malaysia, Macau, Morocco, the Philippines and the USA. More recently, he was part of the Science Expert Group planning for OECD PISA 2025.
(To be invited)
- English and Chinese 英文及中文
- Each attendee:1200 MOP (postgraduate student: 800MOP)
- Payment methods will be announced later.
- Call for abstracts April 1, 2026
- Deadline for receiving abstracts June 30, 2026
- Notification of abstract acceptance July 15, 2026
- Open to conference registration July 16, 2026
- Deadline for conference registration September 30, 2026 (with welcome dinner)
Abstract requirements 摘要要求
- Title of Presentation 報告題目
- Name 姓名
- Institution 單位
- Email 電郵
- Abstract of the proposal 論文摘要(200-250 words, English/Chinese 英文或中文)
- A PDF file, a single page 檔案格式PDF，一頁
Proposal Submission Link: https://umac.questionpro.com.au/t/ARsqfZSBT9
- Inquiries about the conference should be sent to Mr. Chen Zhen mc44160@connect.um.edu.mo.