Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 271 - 300 of 631
Comparative Analysis of STEM and non-STEM Teachers' Needs for Integrating AI into Educational Environments
Bahare Riahi, Veronica Catete. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
Perspectives and potential issues in using artificial intelligence for computer science education
Juho Vepsalainen, Petri Juntunen. (09/2025). arXiv. http://arxiv.org/pdf/2509.13730v1
AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1
Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education*
Ana Elisa Lopez-Miranda, Tiffany Timbers, Rohan Alexander. (09/2025). arXiv. http://arxiv.org/pdf/2509.12283v1
Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices
Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John Stamper. (09/2025). arXiv. http://arxiv.org/pdf/2509.10780v1
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv. http://arxiv.org/pdf/2509.10647v1
GenAI Voice Mode in Programming Education
Sven Jacobs, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.10596v1
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
Lief Esbenshade, Shawon Sarkar, Drew Nucci, Ann Edwards, Sarah Nielsen, Joshua M. Rosenberg, Alex Liu, Zewei (Victor) Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He. (09/2025). arXiv. http://arxiv.org/pdf/2509.10747v1
Machine Unlearning for Responsible and Adaptive AI in Education
Betty Mayeku, Sandra Hummel, Parisa Memarmoshrefi. (09/2025). arXiv. http://arxiv.org/pdf/2509.10590v1
Automatic Detection of Inauthentic Templated Responses in English Language Assessments
Yashad Samant, Lee Becker, Scott Hellman, Bradley Behan, Sarah Hughes, Joshua Southerland. (09/2025). arXiv. http://arxiv.org/pdf/2509.08355v1
Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Amogh Sirnoorkar, N. Sanjay Rebello. (09/2025). arXiv. http://arxiv.org/pdf/2509.08516v1
The ends of tests: Possibilities for transformative assessment and learning with generative AI
Bill Cope, Mary Kalantzis, Akash Kumar Saini. (09/2025). Unesco. https://www.unesco.org/en/articles/ai-and-future-education-disruptions-dilemmas…
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv. http://arxiv.org/pdf/2508.19611v1
Prompting Strategies for Language Model-Based Item Generation in K-12 Education: Bridging the Gap Between Small and Large Language Models
Mohammad Amini, Babak Ahmadi, Xiaomeng Xiong, Yilin Zhang, Christopher Qiao. (08/2025). arXiv. http://arxiv.org/pdf/2508.20217v1
MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
Surajit Das, Gourav Roy, Aleksei Eliseev, Ram Kumar Rajendran. (08/2025). arXiv. http://arxiv.org/pdf/2508.19014v1
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu, Conor O'Sullivan, Keith Johnston, Vincent Wade. (08/2025). arXiv. http://arxiv.org/pdf/2508.18925v1
Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
A.S.M Mehedi Hasan, Md. Alvee Ehsan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem. (08/2025). arXiv. http://arxiv.org/pdf/2508.19475v1
Exploring Generative Artificial Intelligence (GenAI) and AI Agents in Research and Teaching - Concepts and Practical Cases.
Jussi S. Jauhiainen, Aurora Toppari. (08/2025). arXiv. http://arxiv.org/pdf/2508.16701v2
Opening the 'Can of Worms': A Comparative Case Study of Two ELA Teachers' Formation of AI Literacy Instruction
Christopher Mah, Ibrahim Adisa, Hillary Walker. (08/2025). Journal of Adolescence & Adult Literacy. https://ila.onlinelibrary.wiley.com/doi/10.1002/jaal.70021
Detecting Struggling Student Programmers using Proficiency Taxonomies
Noga Schwartz, Roy Fairstein, Avi Segal, Kobi Gal. (08/2025). arXiv. http://arxiv.org/pdf/2508.17353v1
ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
Wenhan Dong, Zhen Sun, Yuemeng Zhao, Zifan Peng, Jun Wu, Jingyi Zheng, Yule Liu, Xinlei He*, Yu Wang, Ruiming Wang, Xinyi Huang, Lei Mo*. (08/2025). arXiv. http://arxiv.org/pdf/2508.14377v2
Reliable generation of isomorphic physics problems using ChatGPT with prompt-chaining and tool use
Zhongzhou Chen. (08/2025). arXiv. http://arxiv.org/pdf/2508.14755v1
Sociotechnical Imaginaries of ChatGPT in Higher Education: The Evolving Media Discourse
Yinan Sun, Ali Unlu, Aditya Johri. (08/2025). arXiv. http://arxiv.org/pdf/2508.14692v1
Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
Winter Allen, Anand Shanker, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.14759v1
Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (08/2025). arXiv. http://arxiv.org/pdf/2508.13962v1
PAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv. http://arxiv.org/pdf/2508.14109v1
Teaching Introduction to Programming in the Times of AI: A Case Study of a Course Redesign
Nikolaos Avouris, Kyriakos Sgarbas, George Caridakis, Christos Sintoris. (08/2025). arXiv. http://arxiv.org/pdf/2508.06572v2
Cognitive Structure Generation: From Educational Priors to Policy Optimization
Hengnian Gu, Zhifu Chen, Yuxin Chen, Jin Peng Zhou, Dongdai Zhou. (08/2025). arXiv. http://arxiv.org/pdf/2508.12647v1
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration
Zixin Chen, Jiachen Wang, Yumeng Li, Haobo Li, Chuhan Shi, Rong Zhang, Huamin Qu. (08/2025). arXiv. http://arxiv.org/pdf/2507.20655v2
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Xuyang Guo, Zekai Huang, Zhao Song, Jiahao Zhang. (08/2025). arXiv. http://arxiv.org/pdf/2508.13214v1
