Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 598
Rapport Du Projet De Recherche Traima Traitement Automatique Des Interactions Multimodales En Apprentissage
Jean-Francois Cerisier, Emilie Remond, Aurelien Nguyen, Andrew Peterson, Julie Rancon, Ladjel Bellatreche. (01/2026). arXiv. https://arxiv.org/pdf/2601.12844v1
Mathedu: Feedback Generation On Problem-Solving Processes For Mathematical Learning Support
Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen. (01/2026). arXiv. https://arxiv.org/pdf/2505.18056v2
Eduthink4Ai: Bridging Educational Critical Thinking And Multi-Agent Llm Systems
Xinmeng Hou, Ziting Chang, Zhouquan Lu, Chen Wenli, Liang Wan, Wei Feng, Hai Hu, and Qing Guo. (01/2026). arXiv. https://arxiv.org/pdf/2507.15015v2
Evaluating 21St-Century Competencies In Postsecondary Curricula With Large Language Models: Performance Benchmarking And Reasoning-Based Prompting Strategies
Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe Yu. (01/2026). arXiv. https://arxiv.org/pdf/2601.10983v1
Mathdoc: Benchmarking Structured Extraction And Active Refusal On Noisy Mathematics Exam Papers
Chenyue Zhou, Jiayi Tuo, Shitong Qin, Wei Dai, Mingxuan Wang, Ziwei Zhao, Duoyang Li, Shiyang Su, Yanxi Lu, Yanbiao Ma. (01/2026). arXiv. https://arxiv.org/pdf/2601.10104v1
When Generative Al Meets Extended Reality: Enabling Scalable And Natural Interactions
Mingyu Zhu, Jiangong Chen, and Bin Li. (01/2026). arXiv. https://arxiv.org/pdf/2601.15308v1
Hallucination-Free Automatic Question & Answer Generation For Intuitive Learning
Nicholas X. Wang, Aggelos K. Katsaggelos. (01/2026). arXiv. https://arxiv.org/pdf/2601.14280v1
Convolearn: A Dataset Of Constructivist Tutor-Student Dialogue
Mayank Sharma, Roy Pea, Hari Subramonyam. (01/2026). arXiv. https://arxiv.org/pdf/2601.08950v1
Integrating Attendance Tracking And Emotion Detection For Enhanced Student Engagement In Smart Classrooms
Keith Ainebyona, Ann Move Oguti, Joseph Walusimbi, Ritah Kobusingye. (01/2026). arXiv. https://arxiv.org/pdf/2601.08049v1
Automated Domain Question Mapping (Dqm) With Educational Learning Materials
Jiho Noh, Mukhesh Raghava Katragadda, Dabae Lee. (01/2026). arXiv. https://arxiv.org/pdf/2601.07062v1
Classroom Ai: Large Language Models As Grade-Specific Teachers
Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang. (01/2026). arXiv. https://arxiv.org/pdf/2601.06225v1
Breaking Robustness Barriers In Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.04918v1
Dissecting Physics Reasoning In Small Language Models: A Multi-Dimensional Analysis From An Educational Perspective
Nicy Scaria, Silvester John Joseph Kennedy, Krishna Agarwal, Diksha Seth, Deepak Subramani. (01/2026). arXiv. https://arxiv.org/pdf/2505.20707v2
Unpacking Generative Ai In Education: Computational Modeling Of Teacher And Student Perspectives In Social Media Discourse
Paulina DeVito, Akhil Vallala, Sean Mcmahon, Yaroslav Hinda, Benjamin Thaw, Hanqi Zhuang, Hari Kalvad. (01/2026). arXiv. https://arxiv.org/pdf/2506.16412v2
Malrulelib: Large-Scale Executable Misconception Reasoning With Step Traces For Modeling Student Thinking In Mathematics
Xinghe Chen, Naiming Liu, Shashank Sonkar. (01/2026). arXiv. https://arxiv.org/pdf/2601.03217v1
Content Vs. Form: What Drives The Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
Nadav Kunievsky, Pedro Pertusi. (01/2026). arXiv. https://arxiv.org/pdf/2601.03469v1
Stylometry Analysis Of Human And Machine Text For Academic Integrity
Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad, Yaseen Ahmad, Mohammed M. Alqahtani, Abdullah M. Algamdi, Almoaid A. Owaidah, Kashif Ahmad. (01/2026). arXiv. https://arxiv.org/pdf/2601.01225v1
The Vibe-Check Protocol: Quantifying Cognitive Offloading In Ai Programming
Aizierjiang Aiersilan. (01/2026). arXiv. https://arxiv.org/pdf/2601.02410v1
Can Ai Recognize Its Own Reflection? Self-Detection Performance Of Llms In Computing Education
Christopher Burger, Karmece Talley, Christina Trotter. (12/2025). arXiv. https://arxiv.org/pdf/2512.23587v1
Divergent-Convergent Thinking In Large Language Models For Creative Problem Generation
Manh Hung Nguyen, Adish Singla. (12/2025). arXiv. https://arxiv.org/pdf/2512.23601v1
Problems With Large Language Models For Learner Modelling: Why Llms Alone Fall Short For Responsible Tutoring In K-12 Education
Danial Hooshyar, Yeongwook Yang, Gustav Sir, Tommi Karkkainen, Raija Hamalainen, Mutlu Cukurova, Roger Azevedo. (12/2025). arXiv. https://arxiv.org/pdf/2512.23036v1
Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-Med Dataset & The Effective Aam-Tsa Model
Zhiyi Duan, Xiangren Wang, Hongyu Yuan, Qianli Xing. (12/2025). arXiv. https://arxiv.org/pdf/2512.20548v2
Unveiling The Learning Mind Of Language Models: A Cognitive Framework And Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong. (12/2025). arXiv. https://arxiv.org/pdf/2506.13464v3
An Exploration Of Higher Education Course Evaluation By Large Language Models
Bo Yuan, Jiazi Hu. (12/2025). arXiv. https://arxiv.org/pdf/2411.02455v2
Agenttutor: Empowering Personalized Learning With Multi-Turn Interactive Teaching In Intelligent Education Systems
Yuxin Liu, Zeqing Song, Jiong Lou, Chentao Wu, Jie Li. (12/2025). arXiv. https://arxiv.org/pdf/2601.04219v1
Can Llms Estimate Student Struggles? Human-Ai Difficulty Alignment With Proficiency Simulation For Item Difficulty Prediction
Ming Li, Han Chen, Yunze Xiao, Jian Chen, Hong Jiao, Tianyi Zhou. (12/2025). arXiv. https://arxiv.org/pdf/2512.18880v1
Subjective Question Generation And Answer Evaluation Using Nlp
G. M. Refatul Islam, Safwan Shaheer, Yaseen Nur, Mohammad Rafid Hamid. (12/2025). arXiv. https://arxiv.org/pdf/2512.17289v1
Topic Discovery And Classification For Responsible Generative Ai Adaptation In Higher Education
Diane Myung-kyung Woodbridge, Allyson Seba, Freddie Seba, Aydin Schwartz. (12/2025). arXiv. https://arxiv.org/pdf/2512.16036v1
A Lora-Based Approach To Fine-Tuning Llms For Educational Guidance In Resource-Constrained Settings
Md Millat Hosen. (12/2025). arXiv. https://arxiv.org/pdf/2504.15610v3
