ChatGPT / OpenAI GPT

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 931 - 960 of 1083 studies

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
Harvard Undergraduate Survey on Generative AI

Shikoh Hirabayashi, Rishab Jain, Nikola Jurkovic, Gabriel Wu. (06/2024). arXiv. https://arxiv.org/pdf/2406.00833
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 Wilhelm Liebenow, Marlene Steinbach, Andrea Horbach, Johanna Fleckenstein. (06/2024). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X23000784
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
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
Evaluating Contextually Personalized Programming Exercises Created with Generative AI

Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen. (06/2024). arXiv. http://arxiv.org/pdf/2407.11994v1
Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach

Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Gupta, Tala Talaei Khoei. (06/2024). arXiv. https://arxiv.org/pdf/2407.15022
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
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
A GPT-based Code Review System for Programming Language Learning

Lee Dong-Kyu. (06/2024). arXiv. http://arxiv.org/pdf/2407.04722v1
Beyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding

Zhoumingju Jiang, Mengjun Jiang. (06/2024). arXiv. http://arxiv.org/pdf/2406.10934v1
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
Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large

Jussi Sakari Jauhiainen, Agustín Garagorry Guerra. (05/2024). arXiv. http://arxiv.org/pdf/2405.05444v1
Rethinking the ‚ÄòA‚Äô in STEAM: Insights from and for AI Literacy Education

Pekka Mertala, Janne Fagerlund, Tomi Slotte Dufva. (05/2024). arXiv. https://arxiv.org/pdf/2405.18179
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education

Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zachary Levonian. (05/2024). ACM Digital Library. https://dl.acm.org/doi/pdf/10.1145/3657604.3664693
Evaluating and Optimizing Educational Content with Large Language Model Judgments

Joy He-Yueya, Noah Goodman, Emma Brunskill. (05/2024). arXiv. http://arxiv.org/pdf/2403.02795v2
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
An Automatic Question Usability Evaluation Toolkit

Steven Moore, Eamon Costello, Huy A. Nguyen, John Stamper. (05/2024). arXiv. http://arxiv.org/pdf/2405.20529v1
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
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen. (05/2024). arXiv. http://arxiv.org/pdf/2405.14365v1
Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams

Wei-Yu Chen. (05/2024). arXiv. http://arxiv.org/pdf/2405.13024v1
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines

Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado. (05/2024). arXiv. https://arxiv.org/pdf/2405.11800
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation

Eason Chen, Jionghao Lin, Jia-En Lee, Kenneth R. Koedinger. (05/2024). arXiv. http://arxiv.org/pdf/2407.09484v1
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance

Candace Edwards. (05/2024). arXiv. http://arxiv.org/pdf/2405.15436v1
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
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 Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces

Tommaso Calò, Christopher J. MacLellan. (05/2024). arXiv. https://arxiv.org/pdf/2405.14713
Large Language Models for Education: A Survey

Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu, Philip S. Yu. (05/2024). arXiv. http://arxiv.org/pdf/2405.13001v1
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. (05/2024). arXiv. http://arxiv.org/pdf/2405.06705v1
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