{"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":"2026-09-08T00:23:45","modified_gmt":"2026-09-08T07:23:45","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. Chakma, A., He, P.,<\/strong> Liu, H., Wang, Z., Li, T., Do, T. D., & Liu, F. (2026). DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning. In: Blanchard, E.G., Chen, G., Chi, M., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science(), vol 16581. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-032-29744-0_2<\/a>.\u00a0<\/li>\n\n\n\n
  2. Shen, Y., He, P.,<\/strong> Liu, H., Ji, Y., Li, T., Chen, T., Xu, K, & Liu, F. (2026). Can Multimodal LLMs \u2018See\u2019 Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Video. In: Blanchard, E.G., Chen, G., Chi, M., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science(), vol 16582. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-032-29755-6_28<\/a>.\u00a0<\/li>\n\n\n\n
  3. Li, Z., He, P.,<\/strong> Chen, Z., Liu, H., Wang, Z., Li, T., & Xiong, J. (2026). SciEval: A Benchmark for Automatic Evaluation of K\u201312 Science Instructional Materials. In: Blanchard, E.G., Chen, G., Chi, M., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science(), vol 16581. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-032-29744-0_36<\/a>.\u00a0<\/li>\n\n\n\n
  4. He, P.,<\/strong> Li, Z., Wang, Z., Xiong, J., Li, T. (2026). Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K\u201312 Science Instructional Materials. In: Arai, K., Lorenz, P. (eds) Intelligent Computing. CC 2026. Lecture Notes in Networks and Systems, vol 1950. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-032-24807-7_31<\/a>.\u00a0<\/li>\n<\/ol>\n\n\n\n

    2025<\/h2>\n\n\n\n
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    1. Li, J., Li, T., 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),<\/em> 1\u20138. https:\/\/doi.org\/10.1109\/TALE66047.2025.11346606<\/a>.\u00a0<\/li>\n\n\n\n
    2. 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
    3. 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
    4. 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