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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 795
Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
Katharine E. Meyer, Lindsay C. Page, Catherine Mata, Eric Smith, Brendan Tyler Walsh, Candice L. Fifield, Michelle Tyson, Amy E. Eremionkhale, Michael Evans, Shelby Frost, Eye Eoun Jung. (07/2026). NBER. https://www.nber.org/papers/w35397?utm_campaign=ntwh&utm_medium=email&utm_sourc…
LLM-As-A-Judge Validity In Physics Assessment Depends More On The Task Than The Model
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (06/2026). arXiv. https://arxiv.org/abs/2603.14732v2
LLM-Generated Summaries For Teachers: A Randomized Field Experiment In A Digital Learning Platform
Wen-Chiang Ivan Lim, Eamon Worden, Adam Sales, Neil T. Heffernan III. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811606
Comparing Teacher And AI-Generated Feedback In The Writing Classroom: Experimental Results From Secondary School Classrooms
Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf K‚àö‚àÇller, Rene F. Kizilcec, Thorben Jansen. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811602
AI In The Wild: A Large Scale Analysis Of Authentic Interactions Of College Students With Generative AI
Taelin Karidi, Ofra Amir, Ido Roll. (06/2026). arXiv. https://arxiv.org/abs/2606.29442v1
An Empirical Study To Understand How Students Use ChatGPT For Writing Essays
Andrew Jelson, Daniel Manesh, Alice Jang, Daniel Dunlap, Young-Ho Kim, Sang Won Lee. (06/2026). arXiv. https://arxiv.org/abs/2501.10551v5
Implementing Genai-Supported Learning In Software Engineering And Computer Science Education Using Bloom'S Taxonomy
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Leyla Memmedova, Huseyn Mirzayev. (06/2026). arXiv. https://arxiv.org/abs/2606.27398v1
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
LecturaRaagents: A Multi-Agent Framework For Adaptive Personalized AI-Assisted Learning And Embodied Teaching
Jaward Sesay, Yue Yu, Siwei Dong, Guangyao Chen, Börje F. Karlsson. (06/2026). arXiv. https://arxiv.org/abs/2606.16428v2
Exploring The Potential Of ChatGPT For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Alvaro Suarez, Cecilia Stari, Arturo C. Marti. (06/2026). arXiv. https://arxiv.org/abs/2603.20412v2
AI-Assisted Help-Seeking Trajectories In Programming Education From An Srl-Informed Perspective
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (06/2026). arXiv. https://arxiv.org/abs/2606.22809v1
"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). arXiv. https://arxiv.org/abs/2606.03090v2
The Creative Link Between Words and Ideas is Weakening in the AI Era
Kibum Moon, Kostadin Kushlev, Andrew Bank, Benjamin Lira, Indre Viskontas, James C. Kaufman, Dan R. Johnson, Angela L. Duckworth, Adam E. Green. (06/2026). PsyArXIV. https://osf.io/preprints/psyarxiv/jsz58_v6
LLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv. https://arxiv.org/abs/2606.17507v1
Reshaping Undergraduate Computer Science Education In The Generative AI Era (Version 1.0)
Yi-Chieh (EJ) Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh, Alex Potanin, Viraj Kumar, Anoop K. Sinha, Chen Qian, Paul Denny, Mennatallah El-Assady, Ian Oakley, Jake Renzella, Amy Zhang, Jat Singh, Wee Sun Lee, Hsuan-Tien Lin, Jane L. E, Anthony Tang, Margaret M. Burnett, Sowmya Somanath, Renwen Zhang, Vicky Charisi, Alexandra I. Cristea. (06/2026). arXiv. https://arxiv.org/abs/2606.07545v2
From Planning To Revision: How AI Writing Support At Different Stages Alters Ownership
Katy Ilonka Gero, Tao Long, Carly Schnitzler, Paramveer S. Dhillon. (06/2026). arXiv. https://arxiv.org/abs/2604.11009v2
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks In Higher Education
Nicholas Micallef, Olga Petrovska. (06/2026). arXiv. https://arxiv.org/abs/2606.13389v1
Intelicit: Eliciting And Assessing Contextualized Creativity Via Dialogue Policy Optimization
Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo. (06/2026). arXiv. https://arxiv.org/abs/2606.12086v1
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Detective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach
Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou and Yiwei Sun. (06/2026). arXiv. https://arxiv.org/abs/2606.07279v1
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
Agentic AI And Pedagogical Best Practice: The Tension Between Automation And Learning
Steve Woollaston, Brendan Flanagan, Isanka Wijerathne, and Hiroaki Ogata. (06/2026). arXiv. https://arxiv.org/abs/2606.04543v1
AI Assistance For Discretionary Work: Increasing Feedback Provision In Higher Education
ROMINA MAHINPEI, VICTORIA DEAN, RUTH FONG, LYDIA T. LIU, MANOEL HORTA RIBEIRO. (06/2026). arXiv. https://arxiv.org/abs/2606.03095v1
From Explanation To Diagnosis: Next Generation Interactive Video Coach With Misstep Awareness
Xiao Jin, Rahul K. Dass, and Ashok K. Goel. (06/2026). arXiv. https://arxiv.org/abs/2606.02970v1
Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity
Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin, Huseyin Kayhan. (06/2026). Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-032-29770-9_62
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School
Christopher Campos, John D. Singleton. (06/2026). NBER. https://www.nber.org/papers/w35347
Where'S The Structure? A Systematic Literature Review Of Empirical Research On Human-AI Collaboration And Hybrid Intelligence For Learning
Luis P. Prieto, Juan I. Asensio-Pérez, María Jesús Rodríguez-Triana, Mohamed Saban, Yannis Dimitriadis. (05/2026). arXiv. https://arxiv.org/abs/2606.05222v1
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
Context-Aware Prediction Of Student Quiz Performance With Multimodal Textbook Features
Samin Khan. (05/2026). arXiv. https://arxiv.org/abs/2606.24770v1
