Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 541 - 570 of 631
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert. (03/2024). arXiv. http://arxiv.org/pdf/2403.04760v1
Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors
Aashish Ghimire, James Prather, John Edwards. (03/2024). arXiv. https://arxiv.org/pdf/2403.15586
Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim. (03/2024). arXiv. http://arxiv.org/pdf/2309.14534v3
Large Language Models As MOOCs Graders
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
The future of generative AI chatbots in higher education
Joshua Ebere Chukwuere. (03/2024). arXiv. https://arxiv.org/pdf/2403.13487
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
Richard Tong, Haoyang Li, Joleen Liang, Qingsong Wen. (03/2024). arXiv. http://arxiv.org/pdf/2403.14689v2
Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform
Dorottya Demszky, Rose E. Wang, Sean Geraghty, Carol Yu. (03/2024). ACM Digital Library. https://dl.acm.org/doi/10.1145/3636555.3636924
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
Zewei Tian, Min Sun, Alex Liu, Shawon Sarkar, Jing Liu. (03/2024). arXiv. http://arxiv.org/pdf/2403.03920v1
Could the Use of AI in Higher Education Hinder Students With Disabilities? A Scoping Review
Oriane Pierres, Markus Christen, Felix M. Schmitt-Koopmann, Alireza Darvishy. (02/2024). IEEE. https://ieeexplore.ieee.org/document/10433192
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation
Zifei (FeiFei) Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger. (02/2024). arXiv. https://arxiv.org/pdf/2402.14594
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja KŠser, Steven Moore, Anna N. Rafferty, Adish Singla. (02/2024). arXiv. https://arxiv.org/pdf/2402.01580
What Explains Teachers' Trust of AI in Education across Six Countries?
Olga Viberg, Mutlu Cukurova, Yael Feldman-Maggor, Giora Alexandron, Shizuka Shirai, Susumu Kanemune, Barbara Wasson, Cathrine Tomte, Daniel Spikol, Marcelo Milrad, Raquel Coelho, RenŽ F. Kizilcec. (02/2024). arXiv. https://arxiv.org/pdf/2312.01627
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai. (02/2024). arXiv. http://arxiv.org/pdf/2312.03748v2
The Impact of Artificial Intelligence on Students' Learning Experience
Abill Robert, Kaledio Potter, Louis Frank. (02/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4716747
Design and implementation of an Al-enabled visual report tool as formative assessment to promote learning achievement and self-regulated learning: An experimental study
Xiaofang Liao, Xuedi Zhang, Zhifeng Wang, Heng Luo. (01/2024). BJET. https://bera-journals.onlinelibrary.wiley.com/doi/abs/10.1111/bjet.13424
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity
Nia Nixon, Yiwen Lin & Lauren Snow. (01/2024). arXiv. http://arxiv.org/pdf/2402.00037v1
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel. (01/2024). arXiv. http://arxiv.org/pdf/2401.10759v1
Imagining Computing Education Assessment after Generative AI
Stephen MacNeil, Scott Spurlock, Ian Applebaum. (01/2024). arXiv. http://arxiv.org/pdf/2401.04601v1
Applications, challenges and ethical issues of AI and ChatGPT in education
Dimitrios Sidiropoulos, Christos-Nikolaos Anagnostopoulos. (01/2024). arXiv. https://arxiv.org/pdf/2402.07907
Can Generative AI And ChatGPT Outperform Humans On Cognitive-Demanding Problem-Solving Tasks In Science?
Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma. (01/2024). arXiv. http://arxiv.org/pdf/2401.15081v1
Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
Anishka, Atharva Mehta, Nipun Gupta, Aarav Balachandran, Dhruv Kumar, Pankaj Jalote. (01/2024). arXiv. http://arxiv.org/pdf/2312.07343v2
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
Gyeong-Geon Lee, Xiaoming Zhai. (01/2024). arXiv. http://arxiv.org/pdf/2402.01674v1
Generative AI and Its Educational Implications
Kacper Lodzikowski, Peter W. Foltz, John T. Behrens. (01/2024). arXiv. https://arxiv.org/pdf/2401.08659
Gemini Pro Defeated by GPT-4V: Evidence from Education
Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2401.08660v1
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2310.10072v3
The Impact of Student-AI Collaborative Feedback Generation on Learning Outcomes
Anjali Singh, Christopher Brooks, Xu Wang. (12/2023). OpenReview. https://openreview.net/forum?id=IQZ2dcsVq0
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui. (11/2023). arXiv. https://arxiv.org/pdf/2305.13114
White Paper: The Generative Education (GenEd) Framework Empowering Educators as AI-Enhanced Mentors
Daniel Leiker. (11/2023). arXiv. http://arxiv.org/pdf/2311.10732v2
