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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 31 - 60 of 525
The Vibe-Check Protocol: Quantifying Cognitive Offloading In Ai Programming
Aizierjiang Aiersilan. (01/2026). arXiv. https://arxiv.org/pdf/2601.02410v1
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
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
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
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
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
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
How K-12 Educators Use Ai: Llm-Assisted Qualitative Analysis At Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Zewei (Victor) Tian, Zachary Zhang, Kevin He, Min Sun. (12/2025). arXiv. https://arxiv.org/pdf/2507.17985v3
Learning In Focus: Detecting Behavioral And Collaborative Engagement Using Vision Transformers
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee, Nima Mahmoodi, Daniel Fonseca, Sareh Karami, Mehdi Ghahremani, Andy D. Perkins, Shahram Rahimi, Noorbakhsh Amiri Golilarz. (12/2025). arXiv. https://arxiv.org/pdf/2508.15782v2
Embedding-Based Rankings Of Educational Resources Based On Learning Outcome Alignment: Benchmarking, Expert Validation, And Learner Performance
Mohammadreza Molavi, Mohammad Moein, Mohammadreza Tavakoli, Abdolali Faraji, Stefan T. Mol, Gabor Kismihok. (12/2025). arXiv. https://arxiv.org/pdf/2512.13658v1
Information-Consistent Language Model Recommendations Through Group Relative Policy Optimization
Sonal Prabhune, Balaji Padmanabhan, and Kaushik Dutta. (12/2025). arXiv. https://arxiv.org/pdf/2512.12858v1
Kidsartbench: Multi-Dimensional Children's Art Evaluation With Attribute-Aware MLLMs
Mingrui Ye, Chanjin Zheng, Zengyi Yu, Chenyu Xiang, Zhixue Zhao, Zheng Yuan, Helen Yannakoudakis. (12/2025). arXiv. https://arxiv.org/pdf/2512.12503v1
Sproutbench: A Benchmark For Safe And Ethical Large Language Models For Youth
Wenpeng Xing, Lanyi Wei, Haixiao Hu, Jingyi Yu, Rongchang Li, Mohan Li, Changting Lin, Meng Han. (12/2025). arXiv. https://arxiv.org/pdf/2508.11009v3
Baid: A Benchmark For Bias Assessment Of Ai Detectors
Priyam Basu, Yunfeng Zhang, Vipul Raheja. (12/2025). arXiv. https://arxiv.org/pdf/2512.11505v1
Evolutionary Reinforcement Learning Based Al Tutor For Socratic Interdisciplinary Instruction
Mei Jiang, Haihai Shen, Zhuo Luo, Bingdong Li, Wenjing Hong, Ke Tang, Aimin Zhou. (12/2025). arXiv. https://arxiv.org/pdf/2512.11930v1
The Adoption And Usage Of Ai Agents: Early Evidence From Perplexity*
Jeremy Yang, Noah Yonack, Kate Zyskowski, Denis Yarats, Johnny Ho, Jerry Ma. (12/2025). arXiv. https://arxiv.org/pdf/2512.07828v2
Large Language Models For Education And Research: An Empirical And User Survey-Based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin, Yutaka Watanobe, Lu Peng. (12/2025). arXiv. https://arxiv.org/abs/2512.08057v1
Classifying German Language Proficiency Levels Using Large Language Models
Elias-Leander Ahlers, Witold Brunsmann, Malte Schilling. (12/2025). arXiv. https://arxiv.org/abs/2512.06483v1
Enhancing Retrieval-Augmented Generation With Entity Linking For Educational Platforms
Francesco Granata, Francesco Poggi, Misael Mongiovì. (12/2025). arXiv. https://arxiv.org/abs/2512.05967v1
Which Type Of Students Can Llms Act? Investigating Authentic Simulation With Graph-Based Human-Ai Collaborative System
Haoxuan Li, Jifan Yu, Xin Cong, Yang Dang, Daniel Zhang-Li, Lu Mi, Yisi Zhan, Huiqin Liu, Zhiyuan Liu. (12/2025). arXiv. https://arxiv.org/abs/2502.11678v4
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
GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design
Gloria Fernadez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gasevic, Zachari Swiecki. (12/2025). arXiv. https://arxiv.org/abs/2508.04377v3
Proactive Agentic Whiteboards: Enhancing Diagrammatic Learning
Suveen Ellawela, Sashenka Gamage, Dinithi Dissanayake. (12/2025). arXiv. https://arxiv.org/abs/2512.01234v2
