Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 577
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
The Studychat Dataset: Analyzing Student Dialogues With Chatgpt In An Artificial Intelligence Course
Hunter McNichols, Fareya Ikram, Andrew Lan. (03/2026). arXiv. https://arxiv.org/pdf/2503.07928v4
Stan: An Llm-Based Thermodynamics Course Assistant
Eric M. Furst, Vasudevan Venkateshwaran. (03/2026). arXiv. https://arxiv.org/pdf/2603.04657v1
Chatbot Conversations In Physics Education: Using Artificial Intelligence To Analyze Student Reasoning Through Computational Grounded Theory
Atharva Dange, Ramon E. Lopez. (03/2026). arXiv. https://arxiv.org/pdf/2603.04616v1
Prefdisco: Benchmarking Proactive Personalized Reasoning
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov. (03/2026). arXiv. https://arxiv.org/pdf/2510.00177v2
Conversational Learning Diagnosis Via Reasoning Multi-Turn Interactive Learning
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu. (03/2026). arXiv. https://arxiv.org/pdf/2603.03236v1
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms
Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv. https://arxiv.org/pdf/2603.02830v1
When Shallow Wins: Silent Failures And The Depth-Accuracy Paradox In Latent Reasoning
Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary. (03/2026). arXiv. https://arxiv.org/pdf/2603.03475v1
Uniskill: A Dataset For Matching University Curricula To Professional Competencies
Nurlan Musazade, Joszef Mezei, Mike Zhang. (03/2026). arXiv. https://arxiv.org/pdf/2603.03134v1
Demonstrating Vividoc: Generating Interactive Documents Through Human-Agent Collaboration
Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Wei Chen. (03/2026). arXiv. https://arxiv.org/pdf/2603.01912v1
Vizqstudio: Iterative Visualization Literacy Mcqs Design With Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song, Yanna Lin, Xian Xu, Huamin Qu, Meng Xia. (03/2026). arXiv. https://arxiv.org/pdf/2603.00994v1
The Aftermath Of Drawedumath: Vision Language Models Underperform With Struggling Students And Misdiagnose Errors
Li Lucy, Albert Zhang, Nathan Anderson, Ryan Knight, Kyle Lo. (03/2026). arXiv. https://arxiv.org/pdf/2603.00925v1
Knowledge Without Wisdom: Measuring Misalignment Between Llms And Intended Impact
Michael Hardy, Yunsung Kim. (03/2026). arXiv. https://arxiv.org/pdf/2603.00883v1
Machine Learning Grade Prediction Using Students' Grades And Demographics
Mwayi SONKHANANI, Symon CHIBAYA, Clement N. NYIRENDA. (02/2026). arXiv. https://arxiv.org/pdf/2603.00608v1
Confusion-Aware Rubric Optimization For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00451v1
Optimizing In-Context Demonstrations For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik, and Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00465v1
Bridge The Gap: Mitigating Bias Amplification In Automated Scoring Of English Language Learners Via Inter-Group Data Augmentation
Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, and Ninghao Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.23580v1
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Perfect Score On Ipho 2025 Theory By Gemini Agent
Yichen Huang. (02/2026). arXiv. https://arxiv.org/pdf/2603.03352v1
A Generalized Apprenticeship Learning Framework For Capturing Evolving Student Pedagogical Strategies
Md Mirajul Islam, Xi Yang, Rajesh Debnath, Adittya Shoukarjya Saha, Min Chi. (02/2026). arXiv. https://arxiv.org/pdf/2602.20527v1
Aitutor-Evalkit: Exploring The Capabilities Of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (02/2026). arXiv. https://arxiv.org/pdf/2512.03688v2
Identifying, Explaining, And Correcting Ableist Language With AI
Kynnedy Simone Smith, Lydia B Chilton, Danielle Bragg. (02/2026). arXiv. https://arxiv.org/pdf/2602.19560v1
Multilingual Large Language Models Do Not Comprehend All Natural Languages To Equal Degrees
Natalia Moskvina, Raquel Montero, Masaya Yoshida, Ferdy Hubers, Paolo Morosi, Walid Irhaymi, Jin Yan, Tamara Serrano, Elena Pagliarini, Fritz Gunther, Evelina Leivada. (02/2026). arXiv. https://arxiv.org/pdf/2602.20065v1
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
How Should Al Knowledge Be Governed? Epistemic Authority, Structural Transparency, And The Case For Open Cognitive Graphs
Chao Li, Chunyi Zhao, Yuru Wang, Yi Hu. (02/2026). arXiv. https://arxiv.org/pdf/2602.16949v2
Aurora: Neuro-Symbolic AI Driven Advising Agent
Lorena Amanda Quincoso Lugones, Christopher Kverne, Nityam Sharadkumar Bhimani, Ana Carolina Oliveira, Agoritsa Polyzou, Christine Lisetti, Janki Bhimani. (02/2026). arXiv. https://arxiv.org/pdf/2602.17999v1
Instructor-Aligned Knowledge Graphs For Personalized Learning
Abdulrahman AlRabah, Priyanka Kargupta, Jiawei Han, Abdussalam Alawini. (02/2026). arXiv. https://arxiv.org/pdf/2602.17111v1
Edueval-Db: A Role-Based Dataset For Pedagogical Risk Evaluation In Educational Explanations
Javier Irigoyen, Roberto Daza, Aythami Morales, Julian Fierrez, Francisco Jurado, Alvaro Ortigosa, Ruben Tolosana. (02/2026). arXiv. https://arxiv.org/pdf/2602.15531v2
