Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 584
Practicing With Language Models Cultivates Human Empathic Communication
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
Stem Faculty Perspectives On Generative AI In Higher Education
Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun. (03/2026). arXiv. https://arxiv.org/pdf/2603.04001v1
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms
Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv. https://arxiv.org/pdf/2603.02830v1
Ai4Career: Responsible AI For Stem Career Development At Scale In K-16 Education
Sugana Chawla, Si Chen, Julia Qian, Gina Svarovsky, Alison Cheng, Rick Johnson, Nitesh V. Chawla, Ronald Metoyer. (03/2026). arXiv. https://arxiv.org/pdf/2603.02568v1
Conversational Learning Diagnosis Via Reasoning Multi-Turn Interactive Learning
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu. (03/2026). arXiv. https://arxiv.org/pdf/2603.03236v1
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (03/2026). arXiv. https://arxiv.org/pdf/2602.12873v3
Vizqstudio: Iterative Visualization Literacy Mcqs Design With Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song, Yanna Lin, Xian Xu, Huamin Qu, Meng Xia. (03/2026). arXiv. https://arxiv.org/pdf/2603.00994v1
Knowledge Without Wisdom: Measuring Misalignment Between Llms And Intended Impact
Michael Hardy, Yunsung Kim. (03/2026). arXiv. https://arxiv.org/pdf/2603.00883v1
The Aftermath Of Drawedumath: Vision Language Models Underperform With Struggling Students And Misdiagnose Errors
Li Lucy, Albert Zhang, Nathan Anderson, Ryan Knight, Kyle Lo. (03/2026). arXiv. https://arxiv.org/pdf/2603.00925v1
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics Version 2, 03/26
Anselm Strohmaier, Samira Bodefeld, Oliver Straser, Frank Reinhold. (03/2026). arXiv. https://arxiv.org/pdf/2601.18685v2
Confusion-Aware Rubric Optimization For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00451v1
Optimizing In-Context Demonstrations For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik, and Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00465v1
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, and Ninghao Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.23580v1
Physics Education Under The Application Of Artificial Intelligence: Bibliometric Analysis Based On Web Of Science Core Library (2021-2025)
Chengtian Liang, Yike Qian, Yixuan Lin, Yu Wang. (02/2026). arXiv. https://arxiv.org/pdf/2603.03348v1
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Transforming Science Learning Materials In The Era Of Artificial Intelligence
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18470v2
Protecting And Promoting Human Agency In Education In The Age Of Artificial Intelligence
Olga Viberg, Mutlu Cukurova, Rene F. Kizilcec, Simon Buckingham Shum, Dorottya Demszky, Dragan Gasevic, Thorben Jansen, Ioana Jivet, Jelena Jovanovic, Jennifer Meyer, Kou Murayama, Zach Pardos, Chris Piech, Nikol Rummel, Naomi E. Winstone. (02/2026). arXiv. https://arxiv.org/pdf/2602.20014v1
Identifying, Explaining, And Correcting Ableist Language With AI
Kynnedy Simone Smith, Lydia B Chilton, Danielle Bragg. (02/2026). arXiv. https://arxiv.org/pdf/2602.19560v1
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
How Should Al Knowledge Be Governed? Epistemic Authority, Structural Transparency, And The Case For Open Cognitive Graphs
Chao Li, Chunyi Zhao, Yuru Wang, Yi Hu. (02/2026). arXiv. https://arxiv.org/pdf/2602.16949v2
Reflections On The Future Of Statistics Education In A Technological Era
Craig Alexander, Jennifer Gaskell, Vinny Davies. (02/2026). arXiv. https://arxiv.org/pdf/2602.18242v1
Instructor-Aligned Knowledge Graphs For Personalized Learning
Abdulrahman AlRabah, Priyanka Kargupta, Jiawei Han, Abdussalam Alawini. (02/2026). arXiv. https://arxiv.org/pdf/2602.17111v1
Toward Llm-Supported Automated Assessment Of Critical Think-Ing Subskills
Marisa C. Peczuh, Nischal Ashok Kumar, Ryan Baker, Blair Lehman, Danielle Eisenberg, Caitlin Mills, Payu Wittawatolarn, Kushaan Naskar, Keerthi Chebrolu, Sudhip Nashi, Cadence Young, Brayden Liu, Sherry Lachman, Andrew Lan. (02/2026). arXiv. https://arxiv.org/pdf/2510.12915v2
How Uncertain Is The Grade? A Benchmark Of Uncertainty Metrics For Llm-Based Automatic Assessment
Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2602.16039v1
What Makes An Expert? Comparing Problem-Solving Practices In Data Science Notebooks
Manuel Valle Torre, Marcus Specht, Catharine Oertel. (02/2026). arXiv. https://arxiv.org/pdf/2602.15428v1
