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Li, T., Chen, I.-C., Adah Miller, E., Miller, C. S., Schneider, B., & Krajcik, J. (2024). The relationships between elementary students' knowledge-in-use performance and their science achievement. Journal of Research in Science Teaching, 61(2), 358-418. h

Li, T., Chen, I.-C., Adah Miller, E., Miller, C. S., Schneider, B., & Krajcik, J. (2024). The relationships between elementary students' knowledge-in-use performance and their science achievement. Journal of Research in Science Teaching, 61(2), 358-418. https://doi.org/https://doi.org/10.1002/tea.21900

Nordine, J., Kubsch, M., Fortus, D., Krajcik, J., & Neumann, K. (2024). Middle school students’ use of the energy concept to engage in new learning: What ideas matter? Journal of Research in Science Teaching, 61(9), 2191–2222. https://doi.org/10.1002/tea.

Nordine, J., Kubsch, M., Fortus, D., Krajcik, J., & Neumann, K. (2024). Middle school students’ use of the energy concept to engage in new learning: What ideas matter? Journal of Research in Science Teaching, 61(9), 2191–2222. https://doi.org/10.1002/tea.21950

Jin, H., Yan, D., & Krajcik, J. (Eds.). (2024). Handbook of Research on Science Learning Progressions (1st ed.). Routledge. https://doi.org/10.4324/9781003170785

Jin, H., Yan, D., & Krajcik, J. (Eds.). (2024). Handbook of research on science learning progressions (1st ed.). Routledge. https://doi.org/10.4324/9781003170785

He, P. Shin, N., Zhai, X. & Krajcik, J. (2024). A design framework for integrating artificial intelligence to support teachers’ timely use of knowledge-in-use assessments in K-12 STEM Classrooms, Zhai, X. & Krajcik, J. Uses of Artificial Intelligence in S

He, P. Shin, N., Zhai, X. & Krajcik, J. (2024). A design framework for integrating artificial intelligence to support teachers’ timely use of knowledge-in-use assessments in K-12 STEM Classrooms, Zhai, X. & Krajcik, J. Uses of Artificial Intelligence in STEM Education. Oxford University Press, Oxford.

ELeVATE: Investigating How Student Build an Integrated Understanding of Energy Over Time

ELeVATE: Investigating How Students Build an Integrated Understanding of Energy Over Time

The Energy project was a four-year, $1.5 million project funded by the National Science Foundation (NSF). This project was a collaboration between CREATE for STEM Institute at Michigan State University, the Leibniz-Institute for Science and Mathematics Education (IPN) in Germany, and the Weizmann Institute of Science in Israel.
2025 Annual International Conference, In Praise of Science Teachers
23 Mar 14:00

NARST Annual Conference, March 23-26, 2025

In Praise of Science Teachers: Essential Partners in Researching, Reframing and Reforming Science Learning is this year's focus for the NARST annual conference. The event will be held at the Gaylord National Resort and Convention Center in National Harbor, MD. This year's conference aims to highlight and celebrate the essential work of science teachers, acknowledging their role in inspiring and enabling the work of science education researchers. Conference information is available here. 

Haudek, K. C., & Zhai, X. (2024). Examining the effect of assessment construct characteristics on machine learning scoring of scientific argumentation. International Journal of Artificial Intelligence in Education. 34, 1482-1509. https://doi.org/10.1007/s

Haudek, K. C., & Zhai, X. (2024). Examining the effect of assessment construct characteristics on machine learning scoring of scientific argumentation. International Journal of Artificial Intelligence in Education. 34, 1482-1509. https://doi.org/10.1007/s40593-023-00385-8

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