Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 421 - 450 of 484
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
Evaluating and Optimizing Educational Content with Large Language Model Judgments
Joy He-Yueya, Noah D. Goodman, Emma Brunskill. (05/2024). arXiv. http://arxiv.org/pdf/2403.02795v2
The Role of Al in Peer Support for Young People: A Study of Preferences for Human- and Al-Generated Responses
Jordyn Young, Laala M Jawara, Diep N Nguyen, Brian Daly, Jina Huh-Yoo, Afsaneh Razi. (05/2024). arXiv. http://arxiv.org/pdf/2405.02711v1
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
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
Desirable Characteristics for AI Teaching Assistants in Programming Education
Paul Denny, Stephen MacNeil, Jaromir Savelka, Leo Porter, Andrew Luxton-Reilly. (05/2024). arXiv. https://arxiv.org/pdf/2405.14178
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
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
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
Zhangying He, Mehrdad Aliasgari, Thomas Nguyen, Setareh Rafatirad, Tahereh Miari, Hossein Sayadi. (04/2024). arXiv. https://arxiv.org/pdf/2407.05205
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
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices
Ruiwei Xiao, Xinying Hou, John Stamper. (04/2024). arXiv. http://arxiv.org/pdf/2404.02213v1
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
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
Large Language Models As MOOCs Graders
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
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
From Guidelines to Governance: A Study of AI Policies in Education
Aashish Ghimire, John Edwards. (03/2024). arXiv. https://arxiv.org/pdf/2403.15601
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations*
Hasan A. Rasheed, Christian Weber, Madjid Fathi. (03/2024). arXiv. http://arxiv.org/pdf/2403.03008v1
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil. (03/2024). arXiv. http://arxiv.org/pdf/2403.09409v1
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
Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT.
Holger Arndt. (02/2024). arXiv. http://arxiv.org/pdf/2402.15278v1
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
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
Loneliness and suicide mitigation for students using GPT3-enabled chatbots
Bethanie Maples, Merve Cerit, Aditya Vishwanath, Roy Pea. (01/2024). Nature. https://www.nature.com/articles/s44184-023-00047-6
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
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja Mataric. (01/2024). arXiv. http://arxiv.org/pdf/2402.01647v1
