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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 391 - 420 of 741
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
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…
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
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
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
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
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
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
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
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
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
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
PAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv. http://arxiv.org/pdf/2508.14109v1
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
Navigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI
Rajan Kadel, Samar Shailendra, Urvashi Rahul Saxena. (08/2025). arXiv. http://arxiv.org/pdf/2508.11709v1
Mathematical Computation and Reasoning Errors by Large Language Models
Liang Zhang, Edith Aurora Graf. (08/2025). arXiv. http://arxiv.org/pdf/2508.09932v2
Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
Sai Siddartha Maram, Ulia Zaman, Magy Seif El-Nasr. (08/2025). arXiv. http://arxiv.org/pdf/2508.11707v1
From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics
Amogh Sirnoorkar, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.09825v1
Designing a Feedback-Driven Decision Support System for Dynamic Student Intervention
Timothy Oluwapelumi Adeyemi, Nadiah Fahad AlOtaibi. (08/2025). arXiv. http://arxiv.org/pdf/2508.07107v2
The Boiling-Frog Problem of Physics Education
Gerd Kortemeyer. (08/2025). arXiv. http://arxiv.org/pdf/2508.08842v1
Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment
Farzana Zahid, Anjalika Sewwandi, Lee Brandon, Vimal Kumar, Roopak Sinha. (08/2025). arXiv. http://arxiv.org/pdf/2508.08629v1
Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik, Munmun De Choudhury. (08/2025). arXiv. http://arxiv.org/pdf/2508.06849v1
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Ben Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel. (08/2025). arXiv. http://arxiv.org/pdf/2508.08314v1
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin,Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05953v1
