Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 584
Interpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv. http://arxiv.org/abs/2510.17910v1
Encouraging Students' Responsible Use Of Genai In Software Engineering Education: An Explanatory Model And Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzayev. (10/2025). arXiv. http://arxiv.org/abs/2506.00682v2
Exploring The Potential Of Chatgpt For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Alvaro Su√°rez, Cecilia Stari and Arturo C. Marti. (10/2025). arXiv. http://arxiv.org/abs/2510.16137v1
Human Or Ai? Comparing Design Thinking Assessments By Teaching Assistants And Bots
Sumbul Khan, Wei Ting Liow, Lay Kee Ang. (10/2025). arXiv. http://arxiv.org/abs/2510.16069v1
Closing The Loop: An Instructor-In-The-Loop Al Assistance System For Supporting Student Help-Seeking In Programming Education
Tung Phung, Christopher Brooks, Heeryung Choi, Sumit Gulwani, Mengyan Wu, Adish Singla. (10/2025). arXiv. http://arxiv.org/abs/2510.14457v1
Socratic Mind: Impact Of A Novel Genai-Powered Assessment Tool On Student Learning And Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon. (10/2025). arXiv. http://arxiv.org/abs/2509.16262v2
Ai-Generated Essays: Characteristics And Implications On Automated Scoring And Academic Integrity
Yang Zhong, Jiangang Hao, Michael Fauss, Chen Li, Yuan Wang. (10/2025). arXiv. http://arxiv.org/abs/2410.17439v4
Reliable Generation Of Isomorphic Physics Problems Using Generative Ai With Prompt-Chaining And Tool Use
Zhongzhou Chen. (10/2025). arXiv. http://arxiv.org/abs/2508.14755v2
Learnlens: Llm-Enabled Personalised, Curriculum-Grounded Feedback With Educators In The Loop
Runcong Zhao, Artem Bobrov, Jiazheng Li, Cesare Aloisi, Yulan He. (10/2025). arXiv. http://arxiv.org/abs/2507.04295v4
Artificial Intelligence For Optimal Learning: A Comparative Approach Towards Ai-Enhanced Learning Environments
Ananth Hariharan. (10/2025). arXiv. http://arxiv.org/abs/2510.11755v1
Survey Of Natural Language Processing For Education: Taxonomy, Systematic Review, And Future Trends
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou. (10/2025). arXiv. http://arxiv.org/abs/2401.07518v4
Student-Ai Interaction In An Llm-Empowered Learning Environment: A Cluster Analysis Of Engagement Profiles
Zhanxin Hao, Jianxiao Jiang, Jifan Yu, Zhiyuan Liu, Yu Zhang. (10/2025). arXiv. http://arxiv.org/abs/2503.01694v3
From Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv. http://arxiv.org/abs/2506.04822v2
Ai In Computational Thinking Education In Higher Education: A Systematic Literature Review
EBRAHIM RAHIMI, CLARA MAATHUIS. (10/2025). arXiv. http://arxiv.org/abs/2510.09677v1
Expertagent: Enhancing Personalized Education Through Dynamic Planning And Retrieval-Augmented Long-Chain Reasoning
Binrong Zhu, Guiran Liu, Nina Jiang. (10/2025). arXiv. http://arxiv.org/abs/2510.07456v1
Harnessing Llm For Noise-Robust Cognitive Diagnosis In Web-Based Intelligent Education Systems
Guixian Zhang, Guan Yuan, Yanmei Zhang, Jing Ren, Ziqi Xu, Zhenyun Deng, Debo Cheng. (10/2025). arXiv. http://arxiv.org/abs/2510.04093v2
Seeing The Big Picture: Evaluating Multimodal Llms º Ability To Interpret And Grade Handwritten Student Work
Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt. (10/2025). arXiv. http://arxiv.org/abs/2510.05538v1
Teachlm: Post-Training Llms For Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. http://arxiv.org/abs/2510.05087v1
Human Empathy As Encoder: Ai-Assisted Depression Assessment In Special Education
Boning Zhao, Xinnuo Li, Yutong Hu. (10/2025). arXiv. http://arxiv.org/abs/2505.23631v3
Ai-Driven Grading And Moderation For Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (10/2025). arXiv. http://arxiv.org/abs/2510.03998v1
Llm-Driven Rubric-Based Assessment Of Algebraic Competence In Multi-Stage Block Coding Tasks With Design And Field Evaluation
Yong Oh Lee, Byeonghun Bang, Sejun Oh. (10/2025). arXiv. http://arxiv.org/abs/2510.06253v1
Can an AI-Powered Presentation Platform Based On The Game "Just a Minute" Be Used To Improve Students' Public Speaking Skills?
Frederic Higham, Tommy Yuan. (10/2025). arXiv. http://arxiv.org/abs/2510.03379v1
Assessment Twins: A Protocol For Ai-Vulnerable Summative Assessment
Jasper Roe, Mike Perkins, Louie Giray. (10/2025). arXiv. http://arxiv.org/abs/2510.02929v1
Lightweight Prompt Engineering For Cognitive Alignment In Educational Ai: A Oneclickquiz Case Study
Antoun Yaacoub, Jerome Da-Rugna, Zainab Assaghir. (10/2025). arXiv. http://arxiv.org/abs/2510.03374v1
Defining A Strategic Action Plan For Ai In Higher Education¬Π
Nikolaos Avouris. (10/2025). arXiv. http://arxiv.org/abs/2510.03343v1
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
Towards An Ai-Augmented Textbook
LearnLM Team. (09/2025). arXiv. http://arxiv.org/abs/2509.13348v4
Accurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasija Ilick, Karen Poon, Richard Turner. (09/2025). arXiv. http://arxiv.org/abs/2509.23484v2
LLMS4ALL: A Review On Large Language Models For Research And Applications In Academic Disciplines
Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
