Nucci, D., Perez, R., & Sun, M. (2023, September 26). Using AI to build high-quality and inclusive lesson plans [Conference presentation]. National Council of Teachers of Mathematics (NCTM) 2023 Annual Meeting, Hyatt, Room: Clark, Chicago, IL.
Chalberg, T., Tian, V., Sarkar, S., Liu, A., & Sun, M. (2024). Colleague.AI: A specialized AI assistant for K-12 educators—Transforming customized content creation and teaching [Conference presentation]. Washington Education Research Association (WERA) 2024 Annual Conference.
Liu, A., & Sun, M. (2024, November 11). Empowering teachers with AI: A comparative study of teacher engagement and PD impact [Conference presentation]. Purdue AI in P-12 Education Conference, Purdue University, West Lafayette, IN.
Nucci, D., Liu, A., Sun, M., & Males, L. (2024). The Professional Knowledge Required for High-quality AI-generated Mathematics Lesson Planning. AMTE Connections.
Sarkar, S., Sun, M., Liu, A., He, J. (2024). From rigorous content to engaging activities: how do teachers prefer in math lesson plans between AI and human created? A paper presented at SREE annual meeting. Baltimore, MD.
Sun, M., & Liu, A. (2024, November 11). Enhancing K-12 lesson planning with Colleague AI: A research-supported platform for inclusive and effective instruction [Conference presentation]. Purdue AI in P-12 Education Conference, Purdue University, West Lafayette, IN.
Liu, A., & Sun, M. (2025, April 27). From voices to validity: Leveraging large language models for textual analysis of policy stakeholder interviews [Conference presentation]. In Dashboards and machine learning technology for data-driven decision making, American Educational Research Association (AERA) Annual Meeting, Denver, CO.
Liu, A., & Males, L. (2025). Optimizing K-12 Mathematics Lesson Planning: AI Integration and Curriculum Noticing. A paper presented at NCTM annual meeting. Atlanta, GA.
Liu, A., Sarkar, S., Esbenshade, L., Tian, V., He, J., Zhang, Z., & Sun, M. (2025). From practice to nudge: A hybrid intelligence framework for instructional decision support. Manuscript accepted at the HHAI 2025 Workshop on Designing a Research Agenda for Responsible AI-Supported Behaviour Change.
Liu, A., Sun, M., Sarkar, S., Males, L. M., & Tian, Z. (2025, April 24). Enhancing K-12 mathematics instruction through human-AI collaboration: A comprehensive study on curriculum and AI utilization [Conference presentation]. In Exploring synergies: Teacher-AI collaboration in K-12 STEM, American Educational Research Association (AERA) Annual Meeting, Denver, CO.
Sarkar, S., Liu, A., Shapiro, R. B., & Sun, M. (2025). Collaborative and Adaptive Learning: Designing Ai Educational Systems With and for Educators. In Rajala, A., Cortez, A., Hofmann, R., Jornet, A., Lotz-Sisitka, H., & Markauskaite, L. (Eds.), Proceedings of the 19th International Conference of the Learning Sciences – ICLS 2025 (pp. 3150-3152). International Society of the Learning Sciences.
Sun, M., Sarkar, S., & Liu, A. (2025). ISEA: Developing AI/ML Capacity in K-12 Education Through Intensive Training and Community Building. IES Annual Principal Investigator Meeting. Washington, DC.
Tian, Z., Liu, A., Esbenshade, L., Sarkar, S., Zhang, Z., He, K., & Sun, M. (2025, October). Implementation Considerations for Automated AI Grading of Student Work. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers (pp. 9-20).
AmplifyGAIN: National Capacity-Building for Trustworthy AI in Education (AERA 2026).
Colleague.AI: An Educational Platform with AI Assistants as Knowledgeable Colleagues for Educators and Friendly Buddies for Learners (AERA 2026).
Creating K-12 GenAI Assessment Graders Through Context Engineering (NCME 2026).
Understanding Teachers’ Use of Generative AI in Math and Science Instruction (AERA 2026).
Using Machine Perception to Automatically Classify Instructional Activities (AERA 2026).