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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 511 - 540 of 795
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, Mar’a JosŽ Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
Text Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report
Patrick Bolger, Morten H. Christiansen, Bill Cope, Pablo Contreras Kallens, Mary Kalantzis, Kyle Mahowald, Martin Pickering, Michael Ramscar, Alina Reznitskaya, Leila Wehbe, Wei Xu, Evgeny Chukharev, Emily Dux Speltz, Mark Torrance, Kimberly Becker, Phuong Nguyen, Dan Song. (07/2025). arXiv. http://arxiv.org/pdf/2506.22698v2
Coursemojo Efficacy Study Grade 6, 2024–2025 Aimsweb & TCAP
Rachel Schechter, Michaela Gulemetova, Colin Ackerman, Laura Janakiefski. (07/2025). ERIC. https://files.eric.ed.gov/fulltext/ED677099.pdf
Enhancing English Language Arts Achievement Through Coursemojo AI-Driven Instruction: A Quasi-Experimental Analysis Of Impact On Student Outcomes And Equity
Rachel Schechter, Colin Ackerman, Michaela Gulemetova, Laura Janakiefski. (07/2025). ERIC. https://eric.ed.gov/?id=ED676253
Computer Vision for Objects used in Group Work: Challenges and Opportunities
Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard. (06/2025). arXiv. http://arxiv.org/pdf/2507.00224v1
Assessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays
Selin Dik, Osman Erdem, Mehmet Dik. (06/2025). arXiv. http://arxiv.org/pdf/2506.23517v1
Research on Comprehensive Classroom Evaluation System Based on Multiple AI Models
Xie Cong, Yang Li, Wang Daben, Xiao Jing. (06/2025). arXiv. http://arxiv.org/pdf/2506.23079v1
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv. http://arxiv.org/pdf/2506.19325v2
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai
Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests
Masaki Uto, Yuma Ito. (06/2025). arXiv. http://arxiv.org/pdf/2506.20119v1
Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
Angxuan Chen, Jingjing Lian, Xinran Kuang, Jiyou Jia. (06/2025). arXiv. http://arxiv.org/pdf/2506.19364v1
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants
Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
Russell Beale. (06/2025). arXiV. https://arxiv.org/abs/2506.19484
CoachGPT: A Scaffolding-based Academic Writing Assistant
Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang. (06/2025). arXiv. http://arxiv.org/pdf/2506.18149v1
Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger. (06/2025). arXiv. http://arxiv.org/pdf/2506.17196v1
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv. http://arxiv.org/pdf/2506.16982v1
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel. (06/2025). arXiv. http://arxiv.org/pdf/2506.11326v1
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
Wanjing Anya Ma, Michael Flor, Zuowei Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.08260v1
Small Models, Big Support: A Local LLM Framework For Teacher-Centric Content Creation And Assessment Using RAG and CAG
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (06/2025). arXiv. http://arxiv.org/pdf/2506.05925v1
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Dumitran Adrian Marius, Mihai Alexandru Vasiluta. (06/2025). arXiv. http://arxiv.org/pdf/2506.05990v1
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
Giorgio Biancini, Alessio Ferrato, Carla Limongelli. (06/2025). arXiv. http://arxiv.org/pdf/2506.04851v1
Evaluating Vision - Language and Large Language Models for Automated Student Assessment in Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (06/2025). arXiv. http://arxiv.org/pdf/2506.04822v1
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.03032v1
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs
Stefano Bann¬ò, Kate M. Knill, Mark J. F. Gales. (06/2025). arXiv. http://arxiv.org/pdf/2506.02758v1
A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
Sapolnach Prompiengchai, Charith Narreddy, Steve Joordens. (06/2025). arXiv. http://arxiv.org/pdf/2505.23405v2
An End-to-End Approach for Child Reading Assessment in the Xhosa Language
Sergio Chevtchenko, Nikhil Navas, Rafaella Vale, Franco Ubaudi, Sipumelele Lucwaba, Cally Ardington, Soheil Afshar, Mark Antoniou, Saeed Afshar. (06/2025). arXiv. http://arxiv.org/pdf/2505.17371v2
Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
Mohammad Saleh Torkestani, Taha Mansouri. (05/2025). arXiv. http://arxiv.org/pdf/2506.02046v1
Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzeyev. (05/2025). arXiv. http://arxiv.org/pdf/2506.00682v1
