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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 477
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
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
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
Ezyer: A Simulacrum Of High School With Generative Agent
Jinming Yang, Zimu Ji, Weiqi Luo, Gaoxi Wang, Bin Ma, Yueling Deng. (12/2025). arXiv. https://arxiv.org/abs/2512.02561v1
Towards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv. https://arxiv.org/abs/2407.12687v4
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Proactive Agentic Whiteboards: Enhancing Diagrammatic Learning
Suveen Ellawela, Sashenka Gamage, Dinithi Dissanayake. (12/2025). arXiv. https://arxiv.org/abs/2512.01234v2
Ai-Enabled Grading With Near-Domain Data For Scaling Feedback With Human-Level Accuracy
Shyam Agarwall, Ali Moghimi, Kevin C. Haudek. (12/2025). arXiv. https://arxiv.org/abs/2512.04113v1
Llm-Based Automated Grading With Human-In-The-Loop
Yucheng Chu, Yasemin Copur-Gencturk, Hang Li, Kaiqi Yang, Jiliang Tang. (12/2025). arXiv. https://arxiv.org/abs/2504.05239v3
Kidspeak: A General Multi-Purpose LLM For Kids' Speech Recognition And Screening
Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen. (12/2025). arXiv. https://arxiv.org/abs/2512.05994v1
Confident Rag: Enhancing The Performance Of Llms For Mathematics Question Answering Through Multi-Embedding And Confidence Scoring
Shiting Chen, Zijian Zhao and 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
Edueval: A Hierarchical Cognitive Benchmark For Evaluating Large Language Models In Chinese Education
Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang. (11/2025). arXiv. https://arxiv.org/abs/2512.00290v1
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
Feanel: A Benchmark For Fine-Grained Error Analysis In K-12 English Writing
Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen. (11/2025). arXiv. https://arxiv.org/abs/2511.22883v1
Scaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents
Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv. https://arxiv.org/abs/2511.11772v2
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
Addressing Situated Teaching Needs: A Multi-Agent Framework For Automated Slide Adaptation
Binglin Liu, Yucheng Wang, Zheyuan Zhang, Jiyuan Lu, Shen Yang, Daniel Zhang-Li, Huiqin Liu, Jifan Yu. (11/2025). arXiv. https://arxiv.org/abs/2511.18840v1
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
Magma-Edu: Multi-Agent Generative Multimodal Framework For Text-Diagram Educational Question Generation
Zhenyu Wu, Jian Li, Hua Huang. (11/2025). arXiv. https://arxiv.org/abs/2511.18714v1
Llms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Enhancing Large Language Models For Automated Homework Assessment In Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Zhihao Qin, Yiming Guo, Jacqueline Rohde, Ying Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.18221v1
Musicair: A Multimodal Ai Music Generation Framework Powered By An Algorithm-Driven Core
Callie C. Liao, Duoduo Liao, Ellie L. Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.17323v1
Principled Design Of Interpretable Automated Scoring For Large-Scale Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey, Candace Thille, Chris Piech. (11/2025). arXiv. https://arxiv.org/abs/2511.17069v1
