Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 151 - 180 of 577
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
Diagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv. https://arxiv.org/abs/2511.08283v1
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
Emnlp: Educator-Role Moral And Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu. (11/2025). arXiv. https://arxiv.org/abs/2508.15250v3
Eduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.11635v1
The Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.05903v1
Llm Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara. (11/2025). arXiv. https://arxiv.org/abs/2406.17737v2
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
Physicseval: Inference-Time Techniques To Improve The Reasoning Proficiency Of Large Language Models On Physics Problems
Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan. (11/2025). arXiv. https://arxiv.org/abs/2508.00079v2
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.
Max Norris, Kobi Gal and Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.02599v1
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
Privacy-Preserving Distributed Link Predictions Among Peers In Online Classrooms Using Federated Learning
Anurata Prabha Hridi, Rajeev Sahay, Muntasir Hoq, Zhikai Gao, Seyyedali Hosseinalipour, Collin Lynch, Bita Akram. (10/2025). arXiv. https://arxiv.org/abs/2504.10456v2
Autograder+: A Multi-Faceted Ai Framework For Rich Pedagogical Feedback In Programming Education
Vikrant Sahu, Raghav Borikar, Dr. Gagan Raj Gupta, Nitin Mane. (10/2025). arXiv. https://arxiv.org/abs/2510.26402v1
Aiot-Based Smart Education System: A Dual-Layer Authentication And Context-Aware Tutoring Framework For Learning Environments.
Adithya Neelakantan, Pratik Satpute Prerna Shinde, Tejas Manjunatha Devang. (10/2025). arXiv. https://arxiv.org/abs/2510.26999v1
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Measuring Teaching With Llms
Michael Hardy. (10/2025). arXiv. https://arxiv.org/abs/2510.22968v1
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification
Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu. (10/2025). arXiv. http://arxiv.org/abs/2406.00954v2
Evaluating Nlp Embedding Models For Handling Science-Specific Symbolic Expressions In Student Texts
Tom Bleckmann, Paul Tschisgale. (10/2025). arXiv. http://arxiv.org/abs/2505.17950v2
Ai-Driven Personalized Learning: Predicting Academic Performance Through Leadership Personality Traits
Nitsa J Herzog, Rejwan Bin Sulaiman, David J Herzog, Rose Fong. (10/2025). arXiv. http://arxiv.org/abs/2510.19964v1
Plural Voices, Single Agent: Towards Inclusive Ai In Multi-User Domestic Spaces
JOYDEEP CHANDRA*, SATYAM KUMAR NAVNEET*. (10/2025). arXiv. http://arxiv.org/abs/2510.19008v1
Llmbridge: Reducing Costs To Access Llms In A Prompt-Centric Internet
Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar. (10/2025). arXiv. http://arxiv.org/abs/2410.11857v3
A Justice Lens On Fairness And Ethics Courses In Computing Education: Llm-Assisted Multi-Perspective And Thematic Evaluation
Kenya S. Andrews, Deborah Dormah Kanubala, Kehinde Aruleba, Francisco Enrique Vicente Castro, Renata A Revelo. (10/2025). arXiv. http://arxiv.org/abs/2510.18931v1
Towards Mining Effective Pedagogical Strategies From Learner-Llm Educational Dialogues
Liqun He, Manolis Mavrikis, Mutlu Cukurova. (10/2025). arXiv. http://arxiv.org/abs/2510.17698v1
Sketchmind: A Multi-Agent Cognitive Framework For Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai. (10/2025). arXiv. http://arxiv.org/abs/2507.22904v2
