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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 661 - 690 of 751
AGI: Artificial General Intelligence for Education
Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu and Xiaoming Zhai. (03/2024). arXiv. http://arxiv.org/pdf/2304.12479v5
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
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
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
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
Large Language Models As MOOCs Graders
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
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
The future of generative AI chatbots in higher education
Joshua Ebere Chukwuere. (03/2024). arXiv. https://arxiv.org/pdf/2403.13487
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
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
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
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
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
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
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
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
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
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
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
Generative AI and Its Educational Implications
Kacper Lodzikowski, Peter W. Foltz, John T. Behrens. (01/2024). arXiv. https://arxiv.org/pdf/2401.08659
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
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
Imagining Computing Education Assessment after Generative AI
Stephen MacNeil, Scott Spurlock, Ian Applebaum. (01/2024). arXiv. http://arxiv.org/pdf/2401.04601v1
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2310.10072v3
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
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
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems
Irene Y. Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil. (11/2023). arXiv. http://arxiv.org/pdf/2311.04926v1
The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD
Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew. (11/2023). arXiv. http://arxiv.org/pdf/2307.12166v2
