Over the past two weeks, the CAIRE Research Lab successfully concluded 16 presentations and business meetings at these international conferences: AERA, NSTA, and NARST. Our team actively shared innovative research and fostered collaborations at the intersection of AI and science education.
At the AERA conference, the CAIRE team contributed a diverse range of scholarly work. Our presentations covered cutting-edge topics such as AI-facilitated feedback, LLM-based concept map analysis, and 3D learning progressions. Our teams actively engaged in global educational research community through leadership roles in Special Interest Groups (SIGs).
- Dr. Tingting Li served as the Chair for the Advanced Technologies for Learning (ATL) & Learning Sciences SIG Joint Business Meeting, contributing to discussions on the integration of emerging AI and digital tools in educational settings.
- Dr. Peng He, as a Communication Officer for the Technology, Instruction, Cognition and Learning (TICL) SIG, played a pivotal role in hosting a featured event and inviting Dr. Joseph Krajcik as discussant, shaping critical dialogues on the future of TICL topic.
AERA Advanced Technologies for Learning SIG and Learning Sciences SIG Business Meeting
At the NSTA conference, Dr. Tingting Li with Dr. Joseph Krajcik and Dr. Selin Akgün led a 1-day professional learning session for over 40 exceptional science teacher leaders and educators. The workshop focused on leveraging accessible AI tools—including GPT, Gemini, and Claude—to design high-quality assessment tasks aligned with the Next Generation Science Standards (NGSS). This hands-on session provided teachers with practical strategies to integrate cutting-edge technology into their 3D teaching practices.
Dr. Tingting Li co-led the GenAI workshop at NSTA 2026
At NARST, the CAIRE team demonstrated significant research depth with a diverse portfolio of work. Our contributions spanned several sessions, covering critical topics such as automated scoring, 3D Learning, Feedback, and the intersection of epistemology and ethics in the age of AI.
The centerpiece of our participation was a connected related paper set titled “Learning Progression and GenAI for Supporting Teacher Instructional Adaptations and Student Three-Dimensional Learning.” This session featured our work on 3D Learning Progressions (3DLP and the ADAPT-AI platform. The paper set was presented by Dr. Peng He, Dr. Tingting Li, PhD student Zeyuan Wang, and PhD student Honglu Liu. The session saw an impressive turnout of over 80 scholars, sparking extensive discussion in our lab’s approach to adaptive, AI-driven assessment frameworks.
CAIRE Lab Team at NARST 2026