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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 451 - 480 of 560
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla. (05/2024). arXiv. http://arxiv.org/pdf/2310.10690v3
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…
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
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
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
Improving Teaching at Scale: Can AI Be Incorporated Into Professional Development to Create Interactive, Personalized Learning for Teachers?
Yasemin Copur-Gencturk, Jingxian Li, Sebnem Atabas. (05/2024). American Educational Research Journal. https://journals.sagepub.com/doi/full/10.3102/00028312241248514
An Automatic Question Usability Evaluation Toolkit
Steven Moore, Eamon Costello, Huy A. Nguyen, John Stamper. (05/2024). arXiv. http://arxiv.org/pdf/2405.20529v1
App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
David Y.J. Kim, Prerna Ravi, Randi Williams, Daeun Yoo. (04/2024). arXiv. https://arxiv.org/pdf/2401.15182
Can Autograding of Student-Generated Questions Quality by ChatGPT Match Human Experts?
Kangkang Li, Qian Yang, Xianmin Yang. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10510637
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes
Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky. (04/2024). arXiv. http://arxiv.org/pdf/2310.10648v3
Large Language Models for Education: A Survey and Outlook
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen. (04/2024). arXiv. http://arxiv.org/pdf/2403.18105v2
Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts
Dr. Ethan Mollick, Dr. Lilach Mollick. (04/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802463
AI AND PERSONALIZED LEARNING: BRIDGING THE GAP WITH MODERN EDUCATIONAL GOALS
Kristjan-Julius Laak, Jaan Aru. (04/2024). arXiv. https://arxiv.org/pdf/2404.02798
Pros and Cons of Artificial Intelligence-ChatGPT Adoption in Education Settings: A Literature Review and Future Research Agendas
Idria Maita, Saide Saide, Afifah Mesha Putri, Didi Muwardi. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10510580
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu. (04/2024). arXiv. http://arxiv.org/pdf/2401.08664v3
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini. (04/2024). arXiv. http://arxiv.org/pdf/2404.06186v1
Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning
Siyu Zha, Yuehan Qiao, Qingyu Hua, Zhongsheng Li, Jiangtao Gong, Yingqing Xu. (04/2024). arXiv. http://arxiv.org/pdf/2403.16159v2
AI and Machine Learning for Next Generation Science Assessments
Xiaoming Zhai. (04/2024). arXiv. http://arxiv.org/pdf/2405.06660v1
The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education
Stefanie Krause, Bhumi Hitesh Panchal, Nikhil Ubhel. (04/2024). arXiv. https://arxiv.org/pdf/2404.10551
Large Language Models As MOOCs Graders
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
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
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
CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
Antonio Ferrandez, Roc’o Lavigne-Cervan, Jesus Peral, Ignasi Navarro-Soria, Angel Lloret, David Gil, Carmen Rocamora. (03/2024). arXiv. http://arxiv.org/pdf/2403.07193v1
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
Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
Andrew Katz, Mitch Gerhardt, Michelle Soledad. (03/2024). arXiv. http://arxiv.org/pdf/2403.11984v1
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
The future of generative AI chatbots in higher education
Joshua Ebere Chukwuere. (03/2024). arXiv. https://arxiv.org/pdf/2403.13487
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee Branstetter, Emma Brunskill, Kenneth R. Koedinger. (03/2024). Association for Computing Machinery. https://dl.acm.org/doi/pdf/10.1145/3636555.3636896
