Machine learning / AI

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 121 - 150 of 347 studies

Confident Rag: Enhancing The Performance Of Llms For Mathematics Question Answering Through Multi-Embedding And Confidence Scoring

Shiting Chen, Zijian Zhao, Jinsong Chen. (11/2025). arXiv. https://arxiv.org/abs/2507.17442v3
Peoat: Personalization-Guided Evolutionary Question Assembly For One-Shot Adaptive Testing

Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (11/2025). arXiv. https://arxiv.org/abs/2512.00439v1
Automated Program Repair Of Uncompilable Student Code

Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram. (11/2025). arXiv. https://arxiv.org/abs/2510.06187v2
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation

Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Scaling Item-To-Standard Alignment With Large Language Models: Accuracy, Limits, And Solutions

Farzan Karimi-Malekabadi, Pooya Razavi, Sonya Powers. (11/2025). arXiv. https://arxiv.org/abs/2511.19749v1
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications

Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
Principled Design Of Interpretable Automated Scoring For Large-Scale Educational Assessments

Yunsung Kim, Michael Hardy, Joseph Tey, Candace Thille, Chris Piech. (11/2025). arXiv. https://arxiv.org/abs/2511.17069v1
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
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
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
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, Hedderik van Rijn. (11/2025). arXiv. https://arxiv.org/abs/2508.03294v2
Pustak Ai: Curriculum-Aligned And Interactive Textbooks Using Large Language Models

Shivam Sharma, Riya Naik, Tejas Gawas, Heramb Patil, Kunal Korgaonkar. (11/2025). arXiv. https://arxiv.org/abs/2511.10002v2
Uco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models

Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.08873v1
Autosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search

Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv. https://arxiv.org/abs/2511.09488v1
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
Exploring The Psychometric Validity Of Ai-Generated Student Responses: A Study On Virtual Personas' Learning Motivation

Huanxiao Wang. (11/2025). arXiv. https://arxiv.org/abs/2511.07451v1
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.

Max Norris, Kobi Gal, 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
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
Measuring Teaching With Llms

Michael Hardy. (10/2025). arXiv. https://arxiv.org/abs/2510.22968v1
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification

Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gašević, Zhi Liu. (10/2025). arXiv. http://arxiv.org/abs/2406.00954v2
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
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
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
Eduadapt: A Question Answer Benchmark Dataset For Evaluating Grade-Level Adaptability In Llms

Numaan Naeem, Abdellah El Mekki, Muhammad Abdul-Mageed. (10/2025). arXiv. http://arxiv.org/abs/2510.17389v1
Ai-Generated Essays: Characteristics And Implications On Automated Scoring And Academic Integrity

Yang Zhong, Jiangang Hao, Michael Fauss, Chen Li, Yuan Wang. (10/2025). arXiv. http://arxiv.org/abs/2410.17439v4
Ai-Driven Predictive Models For Optimizing Mathematics Education Technology: Enhancing Decision-Making Through Educational Data Mining And Meta-Analysis

Aneng He, Wenwen Yuan, Lai Soon Lee, Tian Tian. (10/2025). Smart Learning Environments. https://link.springer.com/article/10.1186/s40561-025-00415-z