Post-Secondary
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 721 - 750 of 841
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
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
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…
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
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gasevic, Roberto Martinez-Maldonado. (05/2024). arXiv. https://arxiv.org/pdf/2405.11800
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
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
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
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
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
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
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
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
Remote Possibilities: Where There Is a WIL, Is There a Way? AI Education for Remote Learners in a New Era of Work-Integrated-Learning
Derek Jacoby, Saiph Savage, Yvonne Coady. (04/2024). arXiv. http://arxiv.org/pdf/2402.12667v2
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
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters' Exam Performances
Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech. (04/2024). MyIDEAS. https://ideas.repec.org/p/osf/osfxxx/qy8zd.html
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
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
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
From Guidelines to Governance: A Study of AI Policies in Education
Aashish Ghimire, John Edwards. (03/2024). arXiv. https://arxiv.org/pdf/2403.15601
"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
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
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
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
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
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
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
