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Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 811 - 840 of 1012
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
Prakhar Dixit, Tim Oates. (11/2024). arXiv. http://arxiv.org/pdf/2410.13293v2
GLAT: The Generative AI Literacy Assessment Test
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (11/2024). arXiv. https://arxiv.org/pdf/2411.00283
Exploring the Effectiveness of AI Course Assistants on the Student Learning Experience
George Hanshaw, Joanna Vance, Craig Brewer. (11/2024). Open Praxis. https://openpraxis.org/articles/719/files/6765805344fd4.pdf
Cognitive ease at a cost: LLMs reduce mental effort but compromise depth in student scientific inquiry
Matthias Stadler, Maria Bannert, Michael Sailer. (11/2024). Computers in Human Behavior. https://www.sciencedirect.com/science/article/pii/S0747563224002541?via%3Dihub
The Influence of Artificial Intelligence Tools on Student Performance in e-Learning Environments: Case Study
Mohd Elmagzoub Eltahir, Frdose Mohd Elmagzoub Babiker. (11/2024). Electronic Journal of e-Learning. https://academic-publishing.org/index.php/ejel/article/view/3639/2313
Metabook: A System to Automatically Generate Interactive AR Storybooks to Improve Children's Reading
Yibo Wang, Yuanyuan Mao, Shi-ting Ni, Wang Zeyu, Hui Pan. (11/2024). arXiv. http://arxiv.org/pdf/2405.13701v2
Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks
Tianlong Zhong, Gaoxia Zhu, Kang You Lim, Yew Soon Ong. (11/2024). arXiv. https://arxiv.org/pdf/2411.19490
LLM-Powered AI Tutors with Personas for d/Deaf and Hard-of-Hearing Online Learners
Haocong Cheng, Si Chen, Christopher Perdriau, Yun Huang. (11/2024). arXiv. http://arxiv.org/pdf/2411.09873v1
Advancing Transformative Education: Generative Ai As A Catalyst For Equity And Innovation
Chiranjeevi Bura, Praveen Kumar Myakala. (11/2024). arXiv. http://arxiv.org/pdf/2411.15971v1
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology
Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer. (11/2024). arXiv. http://arxiv.org/pdf/2411.03495v1
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
Qianou Ma, Hua Shen, Kenneth Koedinger, Sherry Tongshuang Wu. (10/2024). arXiv. http://arxiv.org/pdf/2310.05292v5
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J. Semnani, Monica S. Lam. (10/2024). arXiv. http://arxiv.org/pdf/2408.15232v2
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
Naiming Liu, MyCo Le, Shashank Sonkar, Richard G. Baraniuk. (10/2024). arXiv. https://arxiv.org/pdf/2407.00938
Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design Implications
Yaman Yu, Tanusree Sharma, Melinda Hu, Justin Wang, Yang Wang. (10/2024). arXiv. http://arxiv.org/pdf/2406.10461v2
Shaping Integrity: Why Generative Artificial Intelligence Does Not Have to Undermine Education
Myles Joshua Toledo Tan, Nicholle Mae Amor Tan Maravilla. (10/2024). arXiv. http://arxiv.org/pdf/2407.19088v2
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
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
Mohi Reza, Ioannis Anastasopoulos, Shreya Bhandari, Zachary A. Pardos. (10/2024). arXiv. http://arxiv.org/pdf/2410.16547v1
LLM-based Cognitive Models of Students with Misconceptions
Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan. (10/2024). arXiv. http://arxiv.org/pdf/2410.12294v2
StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
Zixin Chen, Jiachen Wang, Meng Xia, Kento Shigyo, Dingdong Liu, Rong Zhang, Huamin Qu. (09/2024). arXiv. https://arxiv.org/pdf/2407.12423
LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education‚ú©
Unggi Lee, Minji Jeon, Yunseo Lee, Gyuri Byun, Yoorim Son, Jaeyoon Shin, Hongkyu Ko, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2402.06264v3
An empirical study to understand how students use ChatGPT for writing essays and how it affects their ownership
Andrew Jelson, Sang Won Lee. (09/2024). arXiv. http://arxiv.org/pdf/2405.13890v2
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
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
Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
Sergio Altares-Lopez, Jose M. Bengochea-Guevara, Carlos Ranz, Hector Montes, Angela Ribeiro. (09/2024). arXiv. https://arxiv.org/pdf/2405.13487
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 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
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
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
