Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 577
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
Domain-Contextualized Concept Graphs: A Computable Framework For Knowledge Representation
Chao Li, Yuru Wang. (10/2025). arXiv. http://arxiv.org/abs/2510.16802v1
Interpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv. http://arxiv.org/abs/2510.17910v1
Tacla: An Llm-Based Multi-Agent Tool For Transactional Analysis Training In Education
Monika Zamojska, Jaros_aw A. Chudziak. (10/2025). arXiv. http://arxiv.org/abs/2510.17913v1
Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems In Math Competitions
Jialiang Sun, Yuzhi Tang, Ao Li, Chris J. Maddison, Kuldeep S. Meel. (10/2025). arXiv. http://arxiv.org/abs/2505.18492v4
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
Farsimcqgen: A Persian Multiple-Choice Question Generation Framework
Mohammad Heydari Rad, Rezvan Afari, Saeedeh Momtazi. (10/2025). arXiv. http://arxiv.org/abs/2510.15134v1
Personalized Learning Path Planing Through Goal-Driven Learner State Modeling
Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu. (10/2025). arXiv. http://arxiv.org/abs/2510.13215v1
Quantum Annealing For Staff Scheduling In Educational Environments
Alessia Ciacco, Francesca Guerriero, Eneko Osaba. (10/2025). arXiv. http://arxiv.org/abs/2510.12278v1
Learnlens: Llm-Enabled Personalised, Curriculum-Grounded Feedback With Educators In The Loop
Runcong Zhao, Artem Bobrov, Jiazheng Li, Cesare Aloisi, Yulan He. (10/2025). arXiv. http://arxiv.org/abs/2507.04295v4
Evolution In Simulation: Ai-Agent School With Dual Memory For High-Fidelity Educational Dynamics
Sheng Jin, Haoming Wang, Zhiqi Gao, Yongbo Yang, Bao Chunjia, Chengliang Wang. (10/2025). arXiv. http://arxiv.org/abs/2510.11290v1
Globalizeed: A Multimodal Translation System That Preserves Speaker Identity In Academic Lectures
Hoang-Son Vo, Karina Kolmogortseva, Ngumimi Karen Iyortsuun, Hong-Duyen Vo, Soo-Hyung Kim. (10/2025). arXiv. http://arxiv.org/abs/2510.11596v1
Banglamath : A Bangla Benchmark Dataset For Testing Llm Mathematical Reasoning At Grades 6, 7, And 8
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds. (10/2025). arXiv. http://arxiv.org/abs/2510.12836v1
Ensembling Large Language Models To Characterize Affective Dynamics In Student-Ai Tutor Dialogues
Chenyu Zhang, Sharifa Alghowinem, Cynthia Breazeal. (10/2025). arXiv. http://arxiv.org/abs/2510.13862v1
Nim: Neuro-Symbolic Ideographic Metalanguage For Inclusive Communication
Prawaal Sharma, Poonam Goyal, Navneet Goyal, Vidisha Sharma. (10/2025). arXiv. http://arxiv.org/abs/2510.10459v1
Automatic Piecewise Linear Regression For Predicting Student Learning Satisfaction
Haemin Choi, Gayathri Nadarajan. (10/2025). arXiv. http://arxiv.org/abs/2510.10639v1
From Problem-Solving To Teaching Problem-Solving: Aligning Llms With Pedagogy Using Reinforcement Learning
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan. (10/2025). arXiv. http://arxiv.org/abs/2505.15607v2
Survey Of Natural Language Processing For Education: Taxonomy, Systematic Review, And Future Trends
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou. (10/2025). arXiv. http://arxiv.org/abs/2401.07518v4
Student Development Agent: Risk-Free Simulation For Evaluating Aied Innovations
Jianxiao Jiang, Yu Zhang. (10/2025). arXiv. http://arxiv.org/abs/2510.09183v1
Interactscience: Programmatic And Visually-Grounded Evaluation Of Interactive Scientific Demonstration Code Generation
Qiaosheng Chen, Yang Liu, Lei Li, Kai Chen, Qipeng Guo, Gong Cheng, Fei Yuan. (10/2025). arXiv. http://arxiv.org/abs/2510.09724v1
Edumath: Generating Standards-Aligned Educational Math Word Problems
Bryan R. Christ, Penelope Molitz, Jonathan Kropko, Thomas Hartvigsen. (10/2025). arXiv. http://arxiv.org/abs/2510.06965v1
Expertagent: Enhancing Personalized Education Through Dynamic Planning And Retrieval-Augmented Long-Chain Reasoning
Binrong Zhu, Guiran Liu, Nina Jiang. (10/2025). arXiv. http://arxiv.org/abs/2510.07456v1
From Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv. http://arxiv.org/abs/2506.04822v2
Uniedu: Toward Unified And Efficient Large Multimodal Models For Educational Tasks
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen. (10/2025). arXiv. http://arxiv.org/abs/2503.20701v2
Visiomath: Benchmarking Figure-Based Mathematical Reasoning In Lmms
Can Li, Ying Liu, Ting Zhang, Mei Wang, Hua Huang. (10/2025). arXiv. http://arxiv.org/abs/2506.06727v3
Seeing The Big Picture: Evaluating Multimodal Llms º Ability To Interpret And Grade Handwritten Student Work
Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt. (10/2025). arXiv. http://arxiv.org/abs/2510.05538v1
Harnessing Llm For Noise-Robust Cognitive Diagnosis In Web-Based Intelligent Education Systems
Guixian Zhang, Guan Yuan, Yanmei Zhang, Jing Ren, Ziqi Xu, Zhenyun Deng, Debo Cheng. (10/2025). arXiv. http://arxiv.org/abs/2510.04093v2
Eduverse: A User-Defined Multi-Agent Simulation Space For Education Scenario
Yiping Ma, Shiyu Hu, Buyuan Zhu, Yipei Wang, Yaxuan Kang, Shiqing Liu, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.05650v1
Edupersona: Benchmarking Subjective Ability Boundaries Of Virtual Student Agents
Buyuan Zhu, Shiyu Hu, Yiping Ma, Yuanming Zhang, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.04648v1
