Publications by Joseph Krajcik
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)
Kaldaras, L., Haudek, K. C., & Krajcik, J. (2024). Employing automatic analysis tools aligned to learning progressions to assess knowledge application and support learning in STEM. International Journal of STEM Education, 11(1). http://doi.org/10.1186/s40594-024-00516-0 (Original work published November 2024)
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)
Li, T., Haudek, K. C., & Krajcik, J. (2025). Utilizing Deep Learning AI to Analyze Scientific Models: Overcoming Challenges. Journal of Science Education and Technology. http://doi.org/10.1007/s10956-025-10217-0