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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 181
Investigating Bias: A Multilingual Pipeline For Generating, Solving, And Evaluating Math Problems With Llms
Mariam Mahran, Katharina Simbeck. (12/2025). arXiv. https://arxiv.org/abs/2509.17701v2
Aitutor-Evalkit: Exploring The Capabilities Of Ai Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (12/2025). arXiv. https://arxiv.org/abs/2512.03688v1
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Towards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv. https://arxiv.org/abs/2407.12687v4
"Can You Feel The Vibes?": An Exploration Of Novice Programmer Engagement With Vibe Coding
Kiev Gama, Alexander Nolte, Filipe Calegario, Luiz Augusto Morais, Victoria Jackson, Vinicius Garcia. (12/2025). arXiv. https://arxiv.org/abs/2512.02750v1
Ai-Enabled Grading With Near-Domain Data For Scaling Feedback With Human-Level Accuracy
Shyam Agarwall, Ali Moghimi, Kevin C. Haudek. (12/2025). arXiv. https://arxiv.org/abs/2512.04113v1
Artificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis
Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv. https://arxiv.org/abs/2512.04115v1
Exploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv. https://arxiv.org/abs/2504.09004v3
Towards Synergistic Teacher-Ai Interactions With Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.19580v1
Magma-Edu: Multi-Agent Generative Multimodal Framework For Text-Diagram Educational Question Generation
Zhenyu Wu, Jian Li, Hua Huang. (11/2025). arXiv. https://arxiv.org/abs/2511.18714v1
Llms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Edumod-Llm: A Modular Approach For Designing Flexible And Transparent Educational Assistants
Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2511.21742v1
Liberating Logic In The Age Of Ai: Going Beyond Programming With Computational Thinking
Douglas C. Schmidt and Dan Runfola. (11/2025). arXiv. https://arxiv.org/abs/2511.17696v1
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
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
A Framework For Developing University Policies On Generative Ai Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (11/2025). arXiv. https://arxiv.org/abs/2504.02636v2
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
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
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
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
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
YISHAN DU, CONRAD BORCHERS, MUTLU CUKUROVA. (11/2025). arXiv. https://arxiv.org/abs/2511.08225v1
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
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Simulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv. https://arxiv.org/abs/2511.06078v1
A Multi-Agent Psychological Simulation System For Human Behavior Modeling
Xiangen Hu, Jiarui Tong, Sheng Xu. (11/2025). arXiv. https://arxiv.org/abs/2511.02606v1
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Evaluating Federated Learning For At-Risk Student Prediction: A Comparative Analysis Of Model Complexity And Data Balancing
Rodrigo Tertulino, Ricardo Almeida. (11/2025). arXiv. https://arxiv.org/abs/2508.18316v2
Cognitively-Inspired Episodic Memory Architectures For Accurate And Efficient Character Ai
Rafael Arias Gonzalez and Steve DiPaola. (11/2025). arXiv. https://arxiv.org/abs/2511.10652v1
Consistently Simulating Human Personas With Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques. (10/2025). arXiv. https://arxiv.org/abs/2511.00222v1
