Breadcrumb
- Home
- AI Hub For Education
- Research Study Repository
- Teaching – Assessment and Feedback
Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 631
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
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
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
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
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
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
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
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
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
Who Is Doing The Thinking? AI As A Dynamic Cognitive Partner: A Learner-Informed Framework
Cecilia Ka Yuk Chan. (02/2026). arXiv. https://arxiv.org/pdf/2602.15638v1
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Artificial Intelligence In Secondary Education: Educational Affordances And Constraints Of Chatgpt-40 Use
Tryfon Sivenas, Panagiota Maragkaki. (02/2026). arXiv. https://arxiv.org/pdf/2602.13717v1
Autorubric: A Unified Framework For Rubric-Based Llm Evaluation
Delip Rao, Chris Callison-Burch. (02/2026). arXiv. https://arxiv.org/pdf/2603.00077v1
iRuler: Intelligible Rubric-Based User-Defined Llm Evaluation For Revision
Jingwen Bai, Wei Soon Cheong, Philippe Muller, Brian Y Lim. (02/2026). arXiv. https://arxiv.org/pdf/2602.12779v1
Visual Reasoning Benchmark: Evaluating Multimodal Llms On Classroom-Authentic Visual Problems From Primary Education
Mohamed Huti, Alasdair Mackintosh, Amy Waldock, Dominic Andrews, Maxime Leliievre, Moritz Boos, Tobias Murray, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (02/2026). arXiv. https://arxiv.org/pdf/2602.12196v1
Integrating Generative AI-Enhanced Cognitive Systems In Higher Education: From Stakeholder Perceptions To A Conceptual Framework Considering The Eu AI Act
Da-Lun Chen, Prasasthy Balasubramanian, Lauri Loven, Susanna Pirttikangas, Jaakko Sauvola, Panagiotis Kostakos. (02/2026). arXiv. https://arxiv.org/pdf/2602.10802v1
Same Feedback, Different Source: How AI Vs. Human Feedback Shapes Learner Engagement
CAITLIN MORRIS, PATTIE MAES. (02/2026). arXiv. https://arxiv.org/pdf/2602.11311v1
Drawing Your Programs: Exploring The Applications Of Visual-Prompting With Genai For Teaching And Assessment
David H. Smith IV, S. Moonwara A. Monisha, Leo Porter, Annapurna Vadaparty, Daniel Zingaro. (02/2026). arXiv. https://arxiv.org/pdf/2602.10529v1
Division Of Labor And Collaboration Between Parents In Family Education
Ziyi Wang, Congrong Zhang, Jingying Deng, Xiaofan Hu, Jie Cai, Nan Gao, Chun Yu, Haining Zhang. (02/2026). arXiv. https://arxiv.org/pdf/2602.10501v1

