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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 481 - 510 of 1108
Musicair: A Multimodal Ai Music Generation Framework Powered By An Algorithm-Driven Core
Callie C. Liao, Duoduo Liao, Ellie L. Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.17323v1
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes
Matthew Nyaaba, Lehong Shi, Macharious Nabang Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Hise-Kt: Synergizing Heterogeneous Information Networks And Llms For Explainable Knowledge Tracing With Meta-Path Optimization
Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang. (11/2025). arXiv. https://arxiv.org/abs/2511.15191v1
Writing With Machines And Peers: Designing For Critical Engagement With Generative Ai
Xinran Zhu, Cong Wang, Duane Searsmith. (11/2025). arXiv. https://arxiv.org/abs/2511.15750v1
Simulated Human Learning In A Dynamic, Partially-Observed, Time-Series Environment
Jeffrey Jiang, Kevin Hong, Gregory Pottie, Emily Kuczynski. (11/2025). arXiv. https://arxiv.org/abs/2511.15032v1
Exploration Of Summarization By Generative Language Models To Enhance Automated Scoring Of Long Essays
Haowei Hua, Hong Jiao, Xinyi Wang. (11/2025). arXiv. https://arxiv.org/abs/2510.22830v4
Build Ai Assistants Using Large Language Models And Agents To Enhance The Engineering Education Of Biomechanics
Hanzhi Yan, Qin Lu, Xianqiao Wang, Xiaoming Zhai, Tianming Liu, He Li. (11/2025). arXiv. https://arxiv.org/abs/2511.15752v1
Magic: Multi-Agent Argumentation And Grammar Integrated Critiquer
Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2506.13037v2
Enabling Blind And Visually Impaired Individuals To Pursue Careers In Science
L. Petitdemange and S. Nashed. (11/2025). arXiv. https://arxiv.org/abs/2511.17620v1
Nlp Methods May Actually Be Better Than Professors At Estimating Question Difficulty
Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim and Hedderik van Rijn. (11/2025). arXiv. https://arxiv.org/abs/2508.03294v2
Synthguard: An Open Platform For Detecting Ai-Generated Multimedia With Multimodal Llms
Shail Desai, Aditya Pawar, Li Lin, Xin Wang, Shu Hu. (11/2025). arXiv. https://arxiv.org/abs/2511.12404v1
The Unspoken Crisis Of Learning: The Surging Zone Of No Development
Euzeli C. dos Santos Jr., Tracey Birdwell. (11/2025). arXiv. https://arxiv.org/abs/2511.12822v1
Small Models, Big Support: A Local Llm Framework For Educator-Centric Content Creation And Assessment With Rag And Cag
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (11/2025). arXiv. https://arxiv.org/abs/2506.05925v2
Educators On The Frontline: Philosophical And Realistic Perspectives On Integrating Chatgpt Into The Learning Space
Surajit Das, Peu Majumder, Aleksei Eliseev. (11/2025). arXiv. https://arxiv.org/abs/2511.11960v1
Kgquest: Template-Driven Qa Generation From Knowledge Graphs With Llm-Based Refinement
Sania Nayab, Marco Simoni, Giulio Rossolini, Andrea Saracino. (11/2025). arXiv. https://arxiv.org/abs/2511.11258v1
How Physics Professors Use And Frame Generative Ai Tools
Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
Collaclassroom: An Al-Augmented Collaborative Learning Platform With Llm Support In The Context Of Bangladeshi University Students
Salman Sayeed, Bijoy Ahmed Saiem, Al-Amin Sany, Sadia Sharmin, A. B. M. Alim Al Islam. (11/2025). arXiv. https://arxiv.org/abs/2511.11823v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education
Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
Owlgorithm: Supporting Self-Regulated Learning In Competitive Programming Through Llm-Driven Reflection
Juliana Nieto-Cardenas, Erin Joy Kramer, Peter Kurto, Ethan Dickey, Andres Bejarano. (11/2025). arXiv. https://arxiv.org/abs/2511.09969v1
Bridging Lms And Generative Ai: Dynamic Course Content Integration (Dcci) For Enhancing Student Satisfaction And Engagement Via The Ask Me Assistant
Kovan Mzwri, M√°rta Turcs√°nyi-Szabo. (11/2025). arXiv. https://arxiv.org/abs/2504.03966v2
Bridging The Skills Gap: A Course Model For Modern Generative Ai Education
Anya Bardach, Hamilton Murrah. (11/2025). arXiv. https://arxiv.org/abs/2511.11757v1
Understanding Human-Ai Trust In Education
Griffin Pitts, Sanaz Motamedi. (11/2025). arXiv. https://arxiv.org/abs/2506.09160v4
Slidebot: A Multi-Agent Framework For Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.09804v1
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
A Matter Of Interest: Understanding Interestingness Of Math Problems In Humans And Language Models
Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins. (11/2025). arXiv. https://arxiv.org/abs/2511.08548v1
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
Assisting The Grading Of A Handwritten General Chemistry Exam With Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer. (11/2025). arXiv. https://arxiv.org/abs/2509.10591v2
Mentor: A Metacognition-Driven Self-Evolution Framework For Uncovering And Mitigating Implicit Risks In Llms On Domain Tasks
Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He. (11/2025). arXiv. https://arxiv.org/abs/2511.07107v1
