Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Student
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 871 - 900 of 1023
Enhancing Computer Programming Education with LLMs: A Study On Effective Prompt Engineering for Python Code Generation
Tianyu Wang, Nianjun Zhou, Zhixiong Chen. (07/2024). arXiv. http://arxiv.org/pdf/2407.05437v1
Revolutionising Role-Playing Games with ChatGPT
Rita Stampfl, Barbara Geyer, Marie Deissl-O'Meara, Igor Ivkic. (07/2024). arXiv. http://arxiv.org/pdf/2407.02048v1
Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA
Qin Xie, Ming Li, Ariunaa Enkhtur. (07/2024). arXiv. https://arxiv.org/pdf/2407.08986
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv. http://arxiv.org/pdf/2407.09136v1
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
Ty Feng, Sa Liu, Dipak Ghosal. (07/2024). arXiv. https://arxiv.org/pdf/2407.10246
Generative AI Can Harm Learning
Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Ozge Kabaci, Rei Mariman. (07/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4895486
Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines
Hui Wang, Anh Dang, Zihao Wu, Son Mac. (07/2024). arXiv. https://arxiv.org/pdf/2312.05235
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations
Jiarui Rao, Jionghao Lin. (07/2024). arXiv. http://arxiv.org/pdf/2407.04925v1
How do students use ChatGPT as a writing support?
Sarah Levine, Sarah W. Beck, Chris Mah, Lena Phalen, Jaylen Pittman. (07/2024). International Literacy Association. https://ila.onlinelibrary.wiley.com/doi/full/10.1002/jaal.1373
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
A GPT-based Code Review System for Programming Language Learning
Lee Dong-Kyu. (06/2024). arXiv. http://arxiv.org/pdf/2407.04722v1
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
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
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 W. Liebenow, Marlene Steinbach, Andrea Horbach, Johanna Fleckenstein. (06/2024). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X23000784
Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives
Ravit Dotan, Lisa S. Parker, John G. Radzilowicz. (06/2024). arXiv. https://arxiv.org/pdf/2406.01930
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Joykirat Singh, Akshay Nambi, Vibhav Vineet. (06/2024). arXiv. http://arxiv.org/pdf/2406.10834v1
Systematic review of research on artificial intelligence in K-12 education (2017-2022)
Florence Martin, Min Zhuang, Darlene Schaefer. (06/2024). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2666920X23000747
Effectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy
Gilberto Huesca, Yolanda Mart’nez-Trevi–o, JosŽ Mart’n Molina-Espinosa, Ana Raquel Sanrom‡n-Calleros, Roberto Mart’nez-Rom‡n, Eduardo Antonio Cendejas-Castro and Raime Bustos. (06/2024). Education Sciences. https://www.mdpi.com/2227-7102/14/6/660
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
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
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
Harvard Undergraduate Survey on Generative AI
Shikoh Hirabayashi, Rishab Jain, Nikola Jurkovic, Gabriel Wu. (06/2024). arXiv. https://arxiv.org/pdf/2406.00833
ChatGPT-generated help produces learning gains equivalent to human tutor-authored help on mathematics skills
Zachary A. Pardos, Shreya Bhandari. (05/2024). PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304013
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Eason Chen, Jionghao Lin, Jia-En Lee, Kenneth Koedinger. (05/2024). arXiv. http://arxiv.org/pdf/2407.09484v1
AI Tutoring Outperforms Active Learning
Gregory Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, Gregorio Ponti. (05/2024). Research Square. https://www.researchsquare.com/article/rs-4243877/v1
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
FOKE: A Personalized And Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, And Prompt Engineering
Silan Hu, Xiaoning Wang. (05/2024). arXiv. http://arxiv.org/pdf/2405.03734v1
Developing generative AI chatbots conceptual framework for higher education
Joshua Ebere Chukwuere. (05/2024). arXiv. https://arxiv.org/pdf/2403.19303
