Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 451 - 480 of 584
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 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
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
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
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
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
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
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
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
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
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
A GPT-based Code Review System for Programming Language Learning
Lee Dong-Kyu. (06/2024). arXiv. http://arxiv.org/pdf/2407.04722v1
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
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
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
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
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
FOKE: A Personalized And Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, And Prompt Engineering
Silan Hu, Xiaoning Wang. (05/2024). arXiv. http://arxiv.org/pdf/2405.03734v1
Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G.T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan. (05/2024). arXiv. http://arxiv.org/pdf/2404.18416v2
Artificial Intelligence and Educational Measurement: Opportunities and Threats
Andrew D. Ho. (05/2024). DASH Harvard. https://dash.harvard.edu/bitstream/handle/1/37379195/AI%20and%20Educational%20M…
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
Grade Like a Human: Rethinking Automated Assessment with Large Language Models
Wenjing Xie, Juxin Niu, Chun Jason Xue, Nan Guan. (05/2024). arXiv. https://arxiv.org/pdf/2405.19694
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
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
Jionghao Lin, Zifei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (05/2024). arXiv. http://arxiv.org/pdf/2405.00970v1
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
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI
Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). arXiv. https://arxiv.org/pdf/2405.07163
