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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 751
Generativism: Toward A Learning Theory For The Age Of Generative Artificial Intelligence
Shan Li, Juan Zheng. (08/2026). arXiv. https://arxiv.org/abs/2606.12441v2
Reclaiming Epistemic Agency: A Critical Framework For Human-Generative AI Co-Agency In Education
Biranchi Poudyal. (08/2026). arXiv. https://arxiv.org/abs/2608.26937v1
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (08/2026). arXiv. https://arxiv.org/abs/2606.20138v2
The AI Adaptation Gap In Higher Education: Students, Faculty, And Administrative Staff
Yuriy S. Braun, Salavat M. Khafizov. (08/2026). arXiv. https://arxiv.org/abs/2608.25063v1
AI, Expert Or Peer? Provider Biases And Feedback Uptake Among Pre-Service Teachers
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (08/2026). arXiv. https://arxiv.org/abs/2507.16013v2
Large-Scale AI Grading Of Handwritten Physics Assessments: Score Agreement And Olympiad Team Selection Outcomes
Praveen Pathak, Siddharth Tiwary, Charudatt Kadolkar, Vijay Singh, David Rakestraw, Shirish Pathare, Anwesh Mazumdar. (08/2026). arXiv. https://arxiv.org/abs/2608.20521v1
Making AI-Generated Feedback Matter: A Large-Scale Study Of Feedback Workflows And Student Enactment
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Naomi Winstone, Dragan Gasevic, Hassan Khosravi. (08/2026). arXiv. https://arxiv.org/abs/2608.11625v2
Cyberagents: Structured Autonomy For Agentic Gamified Learning In Cybersecurity
Ivan Hornung, Deepthi Marasinghe Arachchige, Tharindu Kumarage, Garima Agrawal, Yuli Deng, Ying-Chih Chen, Huan Liu. (08/2026). arXiv. https://arxiv.org/abs/2608.07965v1
Challenges For Musical Education In The Age Of AI And Digital Transformation
Jean-Pierre Briot. (08/2026). arXiv. https://arxiv.org/abs/2608.05176v2
Instructional Governance By Design: A Framework For AI In Computing Education
Ethan Dickey. (08/2026). arXiv. https://arxiv.org/abs/2609.26098v1
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence From A Randomized Experiment
Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani, Ramiro Galvez, Maria Lombardi. (08/2026). arXiv. https://arxiv.org/abs/2608.04198v1
Eduzone: A Framework For Evaluating LLM Safety For K-12 Students And Teachers
Junyeong Park, Jieun Han, Haneul Yoo, So-Yeon Ahn, Jinsung Yoon, Alice Oh. (08/2026). arXiv. https://arxiv.org/abs/2608.02024v1
Can AI deliver appropriate support for diverse student profiles?: A large-scale evaluation
Sonsoles López-Pernas, Eduardo Oliveira, Kamila Misiejuk, Fitsum Gizachew Deriba, Rogers Kaliisa, Mohammed Saqr. (08/2026). Computers in Human Behavior: Artifical Humans. https://pdf.sciencedirectassets.com/783247/1-s2.0-S2949882126X20023/1-s2.0-S294…
One Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment
Philip Oreopoulos, Nina Low. (08/2026). NBER. https://www.nber.org/papers/w35620
Virtual Tutoring with Computer-Assisted Learning: An Experiment in Take-Up and Learning
Philip Oreopoulos, Ruochong Dong, Nina Low. (08/2026). NBER. https://www.nber.org/papers/w35622?utm_campaign=ntwh&utm_medium=email&utm_sourc…
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (07/2026). arXiv. https://arxiv.org/abs/2607.28210v1
What Remains Human In Mathematics In The Age Of AI
Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
The Agency Gap In AI-Supported Writing: How Reactive And Proactive Agent Designs Shape Multimodal Reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2507.04398v3
Four Years Of Genai: How Educators And Industry Adapted Their Assessment Strategies
May Mahmoud, Nisa Shahid, Izah Sohail, Gulshan Sharma, Hanan Salam, Sarah Nadi. (07/2026). arXiv. https://arxiv.org/abs/2607.24246v2
A Framework For Developing University Policies On Generative AI Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (07/2026). arXiv. https://arxiv.org/abs/2504.02636v3
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics
Anselm Strohmaier, Samira Bodefeld, Frank Reinhold. (07/2026). arXiv. https://arxiv.org/abs/2601.18685v4
Teachy Mini: Development And Preliminary Evaluation Of A Knowledge-Based Generative Social Robot For Higher Education
Stephan Vonschallen, Karim Kaufmann, Dominique Oberle, Friederike Eyssel, Theresa Schmiedel. (07/2026). arXiv. https://arxiv.org/abs/2607.22345v1
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
To Police Or To Guide: How Higher Education Computer Science Instructors Design And Implement Generative AI Policies
Xingjian (Lance) Gu, Wells Lucas Santo, James M. Zumel Dumlao, Barbara Ericson. (07/2026). arXiv. https://arxiv.org/abs/2607.16475v2
From Novelty To Normalisation: Tracking Changing Perceptions Of AI In Higher Education, 2024-2026
Juliana Gerard, Morgan Macleod, Kelly Norwood, Aisling Reid, Muskaan Singh. (07/2026). arXiv. https://arxiv.org/abs/2607.16223v2
Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339
Understanding How University Guidelines Address Privacy And Security Issues Of Generative AI In Academic Settings
Bei Yi Ng, Jiarui Li, Xinyuan Tong, Kevin Ye, Gauthami Yenne, Varun Chandrasekaran, Jingjie Li. (07/2026). arXiv. https://arxiv.org/abs/2506.20463v2
