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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 511 - 540 of 685
The Extent of AI Applications in EFL Learning and Teaching
Yousif A. Alshumaimeri, Abdulrahman K. Alshememry. (10/2024). IEEE. https://ieeexplore.ieee.org/document/10272618
Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing
Minsun Kim, SeonGyeom Kim, Suyoun Lee, Yoosang Yoon, Junho Myung, Haneul Yoo, Hyunseung Lim, Jieun Han, Yoonsu Kim, So-Yeon Ahn, Juho Kim, Alice Oh, Hwajung Hong, Tak Yeon Lee. (10/2024). arXiv. https://arxiv.org/pdf/2405.19691
Emotionally Enriched Feedback Via Generative AI
Omar Alsaiari, Nilufar Baghaei, Hatim Lahza, Jason M. Lodge, Marie Boden, Hassan Khosravi. (10/2024). arXiv. https://arxiv.org/pdf/2410.15077
Mentigo: An Intelligent Agent for Mentoring Students in the Creative Problem Solving Process
Siyu Zha, Yujia Liu, Chengbo Zheng, Jiaqi XU, Fuze Yu, Jiangtao Gong, Yingqing XU. (09/2024). arXiv. http://arxiv.org/pdf/2409.14228v1
Are Large Language Models Good Essay Graders?
Kundu, Anindita, Barbosa, Denilson. (09/2024). arXiv. http://arxiv.org/pdf/2409.13120v1
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
Chuhao Wu, He Zhang, John M. Carroll. (09/2024). arXiv. https://arxiv.org/pdf/2409.02017
A Comprehensive Review on Generative AI for Education
Uday Mittal, Siva Sai, Vinay Chamola, Devika Sangwan. (09/2024). IEEE. https://ieeexplore.ieee.org/document/10695056
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Sessler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel. (09/2024). arXiv. http://arxiv.org/pdf/2401.00832v3
Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned
Maria J. Molina, Amy McGovern, Jhayron S. Perez-Carrasquilla, Robin L. Tanamachi. (09/2024). arXiv. http://arxiv.org/pdf/2409.05176v1
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei, Pierre Dillenbourg. (09/2024). arXiv. http://arxiv.org/pdf/2409.20167v1
"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays
Shengxin Hong, Chang Cai, Sixuan Du, Haiyue Feng, Siyuan Liu, Xiuyi Fan. (09/2024). arXiv. http://arxiv.org/pdf/2409.07453v1
Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education
Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thraen. (09/2024). arXiv. http://arxiv.org/pdf/2409.07110v1
How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations
Jaekwon Park, Jiyoung Bae, Unggi Lee, Taekyung Ahn, Sookbun Lee, Dohee Kim, Aram Choi, Yeil Jeong, Jewoong Moon, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2409.04987v1
BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums
Anvit Sinha, Shruti Goyal, Zachary Sy, Rhianna Kuperus, Ethan Dickey, Andres Bejarano. (09/2024). arXiv. https://arxiv.org/pdf/2409.13196
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy
Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood. (09/2024). arXiv. http://arxiv.org/pdf/2409.17904v1
Facilitating Holistic Evaluations with LLMs Insights from Scenario-Based Experiments
Toru Ishida, Tongxi Liu, Hailong Wang & William K. Cheung. (08/2024). arXiv. http://arxiv.org/pdf/2405.17728v2
New Curriculum, New Chance - Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation.
Simon Kloker, Herbertson Bukoli, Twaha Kateete. (08/2024). arXiv. http://arxiv.org/pdf/2408.07542v1
The Feedback Prize: A Case Study in Assisted Writing Feedback Tools
Perpetual Baffour, Scott Crossley, Yu Tian, Alex Franklin, Natalie Rambis, Meg Benner, Ulrich Boser. (08/2024). The Learning Agency Lab. https://the-learning-agency-lab.com/wp-content/uploads/2023/08/TLA-Lab_Whitepap…
Generative Language Models With Retrieval Augmented Generation for Automated Short Answer Scoring
Zifan Wang, Christopher Ormerod. (08/2024). arXiv. http://arxiv.org/pdf/2408.03811v1
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut. (08/2024). arXiv. http://arxiv.org/pdf/2310.13712v3
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv. http://arxiv.org/pdf/2408.10947v1
Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support
Mia Allen; Usman Naeem; Sukhpal Singh Gill. (08/2024). IEEE. https://ieeexplore.ieee.org/document/10628100
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, Jose Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares. (08/2024). arXiv. http://arxiv.org/pdf/2310.03780v4
Backwards Planning with Generative AI: Case Study Evidence from US K12 Teachers
Samantha Keppler, Wichinpong Park Sinchaisri, Clare Snyder. (08/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924786
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
Decision-Making Framework for the Utilization of Generative Artificial Intelligence in Education: A Case Study of ChatGPT
Umar Ali Bukar, Md. Shohel Sayeed, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Radhwan Sneesl. (07/2024). IEEE. https://ieeexplore.ieee.org/document/10589404
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis
Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon. (07/2024). arXiv. http://arxiv.org/pdf/2407.21691v1
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

