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.
Nucci, D., & Nielsen, S. (2025). How and why mathematics teachers use generative AI for instructional tasks [Conference presentation]. 18th Annual International Conference of Education, Research and Innovation (ICERI2025), Seville, Spain.
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).
Liu, A., Esbenshade, L., Sarkar, S., Tian, Z., Zhang, Z., He, K., & Sun, M. (2026). Colleague.AI: An educational platform with AI assistants as knowledgeable colleagues for educators and friendly buddies for learners [Conference presentation]. American Educational Research Association (AERA) 2026 Annual Meeting.
Liu, A., & Males, L. (2026). Amplifying mathematics instructional practice with AI: Real-world use cases across education contexts [Conference presentation]. Association of Mathematics Teacher Educators (AMTE) 2026 Annual Conference, Portland, OR.
Liu, A., Esbenshade, L., Sarkar, S., Tian, Z., Zhang, Z., He, K., & Sun, M. (2026). Decoding instructional dialogue: Human-AI collaborative analysis of teacher use of AI tool at scale [Conference presentation]. American Educational Research Association (AERA) 2026 Annual Meeting.
Males, L. M., Quist, M., Liu, A., & Hassani, A. (2026). A little help from my “friend”: Exploring prospective teachers use of artificial intelligence in planning [Conference presentation]. Association of Mathematics Teacher Educators (AMTE) 2026 Annual Conference, Portland, OR.
Nielsen, S., & Nucci, D. (2026). How science teachers’ pedagogical orientations and school contexts shape GenAI use [Conference presentation]. American Educational Research Association (AERA) 2026 Annual Meeting.
Nucci, D., & Nielsen, S. (2026). Transforming math instruction with generative AI: Implications for math teachers’ professional learning [Conference presentation]. Association of Mathematics Teacher Educators (AMTE) 2026 Annual Conference, Portland, OR.
Nucci, D., Rosenberg, J., & Nielsen, S. (2026). K-12 science teachers’ GenAI use as situated in their school contexts and pedagogical orientations [Conference presentation]. National Association for Research in Science Teaching (NARST) 2026 Annual Conference.
Rosenberg, J., Sarkar, S., Esbenshade, L., Nucci, D., Nielsen, S., Edwards, A. R., Liu, A., Tian, Z., Zhang, Z., & Sun, M. (2026). How science teachers use AI: A descriptive portrait from a national survey [Conference presentation]. National Association for Research in Science Teaching (NARST) 2026 Annual Conference.
Sarkar, S., Esbenshade, L., Sun, M., Liu, A., Tian, Z., He, K., & Zhang, Z. (2026). AmplifyGAIN: National capacity-building for trustworthy AI in education [Conference presentation]. American Educational Research Association (AERA) 2026 Annual Meeting.
Sarkar, S., Esbenshade, L., Nucci, D., Nielsen, S., Edwards, A. R., Rosenberg, J., Liu, A., Tian, Z., Zhang, Z., He, K., & Sun, M. (2026). Understanding teachers’ use of generative AI in math and science instruction [Conference presentation]. American Educational Research Association (AERA) 2026 Annual Meeting.
Tian, Z., Esbenshade, L., Liu, A., Zhang, Z., He, K., & Sun, M. (2026). Creating K-12 GenAI assessment graders through context engineering [Conference presentation]. National Council on Measurement in Education (NCME) 2026 Annual Meeting.