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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 03/2025.
Displaying 121 - 150 of 235
Comprehensive AI Assessment Framework: Enhancing Educational Evaluation With Ethical AI Integration
Selcuk Kilinc. (06/2024). arXiv. https://arxiv.org/pdf/2407.16887
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing
Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovi_, Zachari Swiecki, Dragan Ga_evi_, and Guanliang Chen. (06/2024). arXiv. http://arxiv.org/pdf/2406.14885v1
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
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/abs/2405.11800
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). IEEE. https://ieeexplore.ieee.org/document/10531039
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI
Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). arXiv. https://arxiv.org/abs/2405.07163
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
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
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu and Philip S. Yu. (05/2024). arXiv. http://arxiv.org/pdf/2405.13001v1
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
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
Generative AI: Implications and Applications for Education
Anastasia Olga (Olnancy)Tzirides, Akash Saini, Gabriela Zapata, Duane Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Theodora Kourkoulou, John Jones, Rodrigo Abrantes da Silva, Jen Whiting, Nikoleta Polyxeni Kastania. (05/2024). arXiv. https://arxiv.org/abs/2305.07605
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
Developing generative AI chatbots conceptual framework for higher education
Joshua Ebere Chukwuere. (05/2024). arXiv. https://arxiv.org/abs/2403.19303
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
Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis
Clayton Cohn, Caitlin Snyder, Justin Montenegro, and Gautam Biswas. (05/2024). arXiv. http://arxiv.org/pdf/2405.03677v1
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…
App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
David Kim, Prerna Ravi, Randi Williams, Daeun Yoo. (04/2024). arXiv. https://arxiv.org/abs/2401.15182
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
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
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
Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts
Ethan R. Mollick, Lilach Mollick. (04/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802463
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 Ubhe. (04/2024). arXiv. https://arxiv.org/abs/2404.10551
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
Chatbot dialogic reading boosts comprehension for Chinese kindergarteners with higher language skills
Xi Cheng, Li Yin, Chaochao Lin, Zhaoning Shi, Hanxiao Zheng, Leqi Zhu, Xiabi Liu, Keran Chen, Rui Dong. (04/2024). ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0022096523002187
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
