Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 31 - 60 of 584
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
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
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
Autorubric: A Unified Framework For Rubric-Based Llm Evaluation
Delip Rao, Chris Callison-Burch. (02/2026). arXiv. https://arxiv.org/pdf/2603.00077v1
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
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
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
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
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
"Bespoke Bots": Diverse Instructor Needs For Customizing Generative AI Classroom Chatbots
Irene Hou, Philip J. Guo, Zeyu Xiong, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00057v1
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
Language Bottleneck Models For Qualitative Knowledge State Modeling
Antonin Berthon, Mihaela van der Schaar. (02/2026). arXiv. https://arxiv.org/pdf/2506.16982v2
Charting The Future Of AI-Supported Science Education: A Human-Centered Vision
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18471v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18469v1
Calibrating Generative AI To Produce Realistic Essays For Data Augmentation
Edward W. Wolfe, Justin O. Barber, Pearson. (02/2026). arXiv. https://arxiv.org/pdf/2602.06772v1
Open Tutorai: An Open-Source Platform For Personalized And Immersive Learning With Generative AI
Mohamed EL HAJJI, Tarek AIT BAHA, Aicha DAKIR, Hammou FADILI, Youssef ES-SAADY. (02/2026). arXiv. https://arxiv.org/pdf/2602.07176v1
Classaid: A Real-Time Instructor-AI-Student Orchestration System For Classroom Programming Activities
Gefei Zhang, Guodao Sun, Meng Xia, Ronghua Liang. (02/2026). arXiv. https://arxiv.org/pdf/2602.06734v1
Beyond Holistic Scores: Automatic Trait-Based Quality Scoring Of Argumentative Essays
Lucile Favero, Juan Antonio Perez-Ortiz, Tanja Kaser, Nuria Oliver. (02/2026). arXiv. https://arxiv.org/pdf/2602.04604v1
Llm Agents For Education: Advances And Applications
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv. https://arxiv.org/pdf/2503.11733v2
Lessons Learned From Integrating Generative AI Into An Introductory Undergraduate Astronomy Course At Harvard
Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andres A. Plazas Malagon. (02/2026). arXiv. https://arxiv.org/pdf/2602.04389v1
Benchmarking Large Language Models For Diagnosing Students' Cognitive Skills From Handwritten Math Work
Yoonsu Kim, Hyoungwook Jin, Hayeon Doh, Eunhye Kim, Dongyun Jung, Seungju Kim, Kiyoon Choi, Jinho Son, Juho Kim. (02/2026). arXiv. https://arxiv.org/pdf/2504.00843v2
Exploring The Role Of Tracing In AI-Supported Planning For Algorithmic Reasoning
Yoshee Jain, Heejin Do, Zihan Wu, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2602.03197v1
Learning Context: A Unified Framework And Roadmap For Context-Aware Ai In Education
Naiming Liu, Brittany Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard Baraniuk. (01/2026). arXiv. https://arxiv.org/pdf/2512.24362v2
The Compliance Paradox: Semantic-Instruction Decoupling In Automated Academic Code Evaluation
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Vinay Chamola, Murari Mandal, Dhruv Kumar. (01/2026). arXiv. https://arxiv.org/pdf/2601.21360v1
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
Dynamic Framework For Collaborative Learning: Leveraging Advanced Llm With Adaptive Feedback Mechanisms
Hassam Tahir, Faizan Faisal, Fady Alnajjar, Muhammad Imran Taj, Lucia Gordon, Aila Khan, Michael Lwin, Omar Mubin. (01/2026). arXiv. https://arxiv.org/pdf/2601.21344v1
Are They Just Delegating? Cross-Sample Predictions On University Students' & Teachers' Use Of AI
Fabian Albers, Sebastian Straub, Nikol Rummel, Nils Kobis. (01/2026). arXiv. https://arxiv.org/pdf/2601.21490v1
Guideai: A Real-Time Personalized Learning Solution With Adaptive Interventions
Ananya Shukla, Satvik Bajpai, Chaitanya Modi, Siddharth Siddharth. (01/2026). arXiv. https://arxiv.org/pdf/2601.20402v1
A Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2402.01666v2
