{"id":355,"date":"2025-12-19T16:51:29","date_gmt":"2025-12-20T00:51:29","guid":{"rendered":"https:\/\/labs.wsu.edu\/caire\/?page_id=355"},"modified":"2026-01-16T23:46:17","modified_gmt":"2026-01-17T07:46:17","slug":"conference-proceedings","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/caire\/conference-proceedings\/","title":{"rendered":"Conference Proceedings"},"content":{"rendered":"\n

2026<\/h2>\n\n\n\n
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  1. He, P<\/strong>., Li, Z., Wang<\/strong>, Z. Xiong, J., & Li, T<\/strong>. (2026). Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K\u201312 Science Instructional Materials. Computing Conference 2026.<\/li>\n<\/ol>\n\n\n\n

    2025<\/h2>\n\n\n\n
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    1. Chu, Y., He, P<\/strong>., Li, H., Yang, K., Xue, Y., Li, T.<\/strong>, Krajcik, J., & Tang, J. (2025). Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. Proceedings of the 18th International Conference on Educational Data Mining, 396-402. https:\/\/doi.org\/10.5281\/zenodo.15870304<\/a><\/li>\n\n\n\n
    2. Li, J., Li, T.<\/strong>, Li, H., Han, H., He, P<\/strong>., & Liu, H. (2025). Human-AI collaboration for next-generation assessment design: Leveraging LLMs with RAG. 2025 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).<\/li>\n\n\n\n
    3. Zhu, H., Li, T.<\/strong>, He, P<\/strong>., & Zhou, J. (2025). Enhancing automated grading in science Education through LLM-driven causal reasoning and multimodal analysis. The 34th International Joint Conference on Artificial Intelligence (IJCAI-25).  https:\/\/doi.org\/10.24963\/ijcai.2025\/1150<\/a><\/li>\n<\/ol>\n\n\n\n

      2024<\/h2>\n\n\n\n
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      1. Li, T.<\/strong>, Miller, E. A., & He, P.<\/strong> (2024). Culturally and linguistically \u201cBlind\u201d or Biased? Challenges for AI Assessment of Models with Multiple Language Students. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Su\u00e1rez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences – ICLS 2024 (pp. 1323-1326). International Society of the Learning Sciences. https:\/\/doi.org\/10.22318\/icls2024.806499<\/a>.<\/li>\n<\/ol>\n\n\n\n

        2023<\/h2>\n\n\n\n