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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 601 - 630 of 741
A Comprehensive Review on Generative AI for Education
Uday Mittal, Siva Sai, Vinay Chamola, Devika Sangwan. (09/2024). IEEE. https://ieeexplore.ieee.org/document/10695056
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy
Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood. (09/2024). arXiv. http://arxiv.org/pdf/2409.17904v1
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Sessler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel. (09/2024). arXiv. http://arxiv.org/pdf/2401.00832v3
Facilitating Holistic Evaluations with LLMs Insights from Scenario-Based Experiments
Toru Ishida, Tongxi Liu, Hailong Wang & William K. Cheung. (08/2024). arXiv. http://arxiv.org/pdf/2405.17728v2
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, Jose Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares. (08/2024). arXiv. http://arxiv.org/pdf/2310.03780v4
The Feedback Prize: A Case Study in Assisted Writing Feedback Tools
Perpetual Baffour, Scott Crossley, Yu Tian, Alex Franklin, Natalie Rambis, Meg Benner, Ulrich Boser. (08/2024). The Learning Agency Lab. https://the-learning-agency-lab.com/wp-content/uploads/2023/08/TLA-Lab_Whitepap…
Generative Language Models With Retrieval Augmented Generation for Automated Short Answer Scoring
Zifan Wang, Christopher Ormerod. (08/2024). arXiv. http://arxiv.org/pdf/2408.03811v1
Building a Domain-specific Guardrail Model in Production
Mohammad Niknazar, Paul V Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan. (07/2024). arXiv. http://arxiv.org/pdf/2408.01452v1
How do students use ChatGPT as a writing support?
Sarah Levine, Sarah W. Beck, Chris Mah, Lena Phalen, Jaylen Pittman. (07/2024). International Literacy Association. https://ila.onlinelibrary.wiley.com/doi/full/10.1002/jaal.1373
Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines
Hui Wang, Anh Dang, Zihao Wu, Son Mac. (07/2024). arXiv. https://arxiv.org/pdf/2312.05235
To accept or not to accept? An IRT-TOE Framework to Understand Educators' Resistance to Generative AI in Higher Education
Jan-Erik Kalmus, Anastasija Nikiforova. (07/2024). arXiv. https://arxiv.org/pdf/2407.20130
A GPT-based Code Review System for Programming Language Learning
Lee Dong-Kyu. (06/2024). arXiv. http://arxiv.org/pdf/2407.04722v1
Using Llms To Bring Evidence-Based Feedback Into The Classroom: AI-Generated Feedback Increases Secondary Students' Text Revision, Motivation, And Positive Emotions
Jennifer Meyer, Thorben Jansen, Ronja Schiller, Lucas W. Liebenow, Marlene Steinbach, Andrea Horbach, Johanna Fleckenstein. (06/2024). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X23000784
Systematic review of research on artificial intelligence in K-12 education (2017-2022)
Florence Martin, Min Zhuang, Darlene Schaefer. (06/2024). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2666920X23000747
Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives
Ravit Dotan, Lisa S. Parker, John G. Radzilowicz. (06/2024). arXiv. https://arxiv.org/pdf/2406.01930
AI AGENTS AND EDUCATION: SIMULATED PRACTICE AT SCALE
Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski, Daniel Ravipinto. (06/2024). arXiv. https://arxiv.org/pdf/2407.12796
Generative Al and Digital Neocolonialism in Global Education: Towards an Equitable Framework
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (06/2024). arXiv. http://arxiv.org/pdf/2406.02966v3
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu. (06/2024). arXiv. https://arxiv.org/pdf/2401.06431
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar. (06/2024). arXiv. http://arxiv.org/pdf/2406.15211v1
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
Hamidreza Rouzegar, Masoud Makrehchit. (06/2024). arXiv. https://arxiv.org/pdf/2406.13903
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova. (06/2024). arXiv. http://arxiv.org/pdf/2406.18900v1
Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments
Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai. (06/2024). arXiv. http://arxiv.org/pdf/2312.15842v3
Bringing Generative AI to Adaptive Learning in Education
Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen. (06/2024). arXiv. https://arxiv.org/pdf/2402.14601
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education
Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zach Levonian. (05/2024). ACM Digital Library. https://dl.acm.org/doi/pdf/10.1145/3657604.3664693
Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis
Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas. (05/2024). arXiv. http://arxiv.org/pdf/2405.03677v1
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
Jaewook Lee, Digory Smith, Simon Woodhead, Andrew Lan. (05/2024). arXiv. http://arxiv.org/pdf/2405.00864v1
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. (05/2024). arXiv. http://arxiv.org/pdf/2405.06705v1
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu and Philip S. Yu. (05/2024). arXiv. http://arxiv.org/pdf/2405.13001v1
Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large
Jussi S. Jauhiainen, Agust’n Garagorry Guerra. (05/2024). arXiv. http://arxiv.org/pdf/2405.05444v1
