Akgun, S., Haudek, K. C., Kaldaras, L., & Krajcik, J. (2025). Collaborating with Teachers to Generate ML-Based Feedback: Contextualizing and Developing Meaningful and Relevant Feedback. In NARST Annual Conference. National Harbor, MD: NARST. (Original work published March 2025)

Li, T., Kaldaras, L., Haudek, K. C., & Krajcik, J. (2025). Feedback on Utilizing Deep Learning AI to Analyze Scientific Models. In NARST Annual Conference. National Harbor, MD: NARST. (Original work published March 2025)

Kaldaras, L., Li, T., Djagba, P., Haudek, K. C., & Krajcik, J. (2025). Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom. In NARST Annual Conference. National Harbor, MD: NARST. (Original work published March 2025)

Kaldaras, L., Li, T., Haudek, K. C., & Krajcik, J. (2024). Rubric Development for AI Scoring of NGSS Learning Progression-Based Scientific Models To Support Individual Opportunity To Learn. In NARST Annual Conference. Denver, CO: NARST. (Original work published March 2024)