| 2026 | AAAI | Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts. | Luyang Fang, Tao Wang, Ping Ma, Xiaoming Zhai |
| 2026 | AAAI | AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition. | Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai |
| 2026 | AIED | Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings. | Arne Bewersdorff, Nejla Yuruk, Xiaoming Zhai |
| 2026 | AIED | Confidence-Aware Automated Assessment of Student-Drawn Scientific Models. | Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai |
| 2026 | AIED | ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms. | Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai |
| 2026 | AIED | BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation. | Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu |
| 2026 | AIED | AI Evaluation and Feedback to Support Middle-School Students' Scientific Argumentation and Reasoning. | Field M. Watts, Lei Liu, Teresa M. Ober, Yi Song, Euvelisse Jusino-Del Valle, Yun Wang, Xiaoming Zhai |
| 2026 | AIED | Using Learning Progressions to Guide AI Feedback for Science Learning. | Xin Xia, Nejla Yuruk, Yun Wang, Xiaoming Zhai |
| 2026 | AIED | A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation. | Ying Zhang, Ningxi Cheng, Yizhu Gao, Hongmei Li, Lehong Shi, Nicholas Young, Geng Yuan, Xiaoming Zhai |
| 2025 | AIED | Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits. | Newnew Deng, Edward Jiusi Liu, Xiaoming Zhai |
| 2025 | AIED | Efficient Multi-task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment. | Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma, Xiaoming Zhai |
| 2025 | AIED | Artificial Intelligence Bias on English Language Learners in Automatic Scoring. | Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai |
| 2025 | AIED | Workshop on Epistemics and Decision-Making in AI-Supported Education. | Ehsan Latif, Ninghao Liu, Gautam Biswas, Yue Yin, Xiaoming Zhai |
| 2025 | AIED | Privacy-Preserved Automated Scoring Using Federated Learning for Educational Research. | Ehsan Latif, Xiaoming Zhai |
| 2025 | AIED | Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving. | Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu, Arthur C. Graesser |
| 2025 | KDD | Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification. | Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu |
| 2024 | AIED | Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. | Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai |
| 2024 | RO-MAN | PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations. | Ehsan Latif, Ramviyas Parasuraman, Xiaoming Zhai |
| 2023 | AIED | Context Matters: A Strategy to Pre-train Language Model for Science Education. | Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai |
| 2023 | AIED | Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. | Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai |