Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 481 - 510 of 598
Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education
Anand Syamkumar, Nora Tseng, Kaycie Barron, Shanglin Yang, Shamya Karumbaiah, Rheeya Uppal, Junjie Hu. (11/2024). arXiv. http://arxiv.org/pdf/2411.04308v1
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Kaser, Antoine Bosselut. (11/2024). arXiv. https://arxiv.org/pdf/2408.11841
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
Nga Pham, Minh Kha Do, Tran Vu Dai, Pham Ngoc Hung, Anh Nguyen-Duc. (10/2024). arXiv. https://arxiv.org/pdf/2410.06423
A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education
Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nyaaba, Gyeonggeon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Xuansheng Wu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai. (10/2024). arXiv. https://arxiv.org/pdf/2410.21287
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
Naiming Liu, MyCo Le, Shashank Sonkar, Richard G. Baraniuk. (10/2024). arXiv. https://arxiv.org/pdf/2407.00938
Students Rather Than Experts: A New Ai For Education Pipeline To Model More Human-Like And Personalized Early Adolescences
Yiping Ma, Shiyu Hu, Xuchen Li, Yipei Wang, Shiqing Liu, Kang Hao Cheong. (10/2024). arXiv. http://arxiv.org/pdf/2410.15701v1
LLM-based Cognitive Models of Students with Misconceptions
Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan. (10/2024). arXiv. http://arxiv.org/pdf/2410.12294v2
An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions
Tony Haoran Feng, Paul Denny, Burkhard C. WŸnsche, Andrew Luxton-Reilly, Jacqueline Whalley. (10/2024). arXiv. https://arxiv.org/pdf/2410.16991
Hey AI Can You Grade My Essay?: Automatic Essay Grading
Maisha Maliha, Vishal Pramanik. (10/2024). arXiv. https://arxiv.org/pdf/2410.09319
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J. Semnani, Monica S. Lam. (10/2024). arXiv. http://arxiv.org/pdf/2408.15232v2
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo. (10/2024). arXiv. https://arxiv.org/pdf/2408.04226
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz Ziv. (10/2024). arXiv. http://arxiv.org/pdf/2406.14657v3
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
Qianou Ma, Hua Shen, Kenneth Koedinger, Sherry Tongshuang Wu. (10/2024). arXiv. http://arxiv.org/pdf/2310.05292v5
Beyond Scores: A Modular Rag-Based System For Automatic Short Answer Scoring with Feedback
Menna Fateen, Bo Wang, Tsunenori Mine. (10/2024). arXiv. http://arxiv.org/pdf/2409.20042v2
Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
Sami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung, Neil Heffernan. (10/2024). arXiv. http://arxiv.org/pdf/2411.08910v1
How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations
Jaekwon Park, Jiyoung Bae, Unggi Lee, Taekyung Ahn, Sookbun Lee, Dohee Kim, Aram Choi, Yeil Jeong, Jewoong Moon, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2409.04987v1
LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education‚ú©
Unggi Lee, Minji Jeon, Yunseo Lee, Gyuri Byun, Yoorim Son, Jaeyoon Shin, Hongkyu Ko, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2402.06264v3
"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays
Shengxin Hong, Chang Cai, Sixuan Du, Haiyue Feng, Siyuan Liu, Xiuyi Fan. (09/2024). arXiv. http://arxiv.org/pdf/2409.07453v1
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy
Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood. (09/2024). arXiv. http://arxiv.org/pdf/2409.17904v1
Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education
Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thraen. (09/2024). arXiv. http://arxiv.org/pdf/2409.07110v1
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei, Pierre Dillenbourg. (09/2024). arXiv. http://arxiv.org/pdf/2409.20167v1
Computational Language Analysis Reveals that Process-Oriented Thinking About Belonging Aids the College Transition
Dorottya Demszky, C. Lee Williams, Shannon T. Brady, Shashanka Subrahmanya, Eric Gaudiello, Gregory M. Walton, Johannes C. Eichstaedt. (09/2024). EdWorkingPapers. https://edworkingpapers.com/sites/default/files/ai24-1033.pdf
Are Large Language Models Good Essay Graders?
Kundu, Anindita, Barbosa, Denilson. (09/2024). arXiv. http://arxiv.org/pdf/2409.13120v1
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv. http://arxiv.org/pdf/2408.10947v1
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu. (08/2024). arXiv. http://arxiv.org/pdf/2402.01760v2
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, Jose Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares. (08/2024). arXiv. http://arxiv.org/pdf/2310.03780v4
Generative Language Models With Retrieval Augmented Generation for Automated Short Answer Scoring
Zifan Wang, Christopher Ormerod. (08/2024). arXiv. http://arxiv.org/pdf/2408.03811v1
New Curriculum, New Chance - Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation.
Simon Kloker, Herbertson Bukoli, Twaha Kateete. (08/2024). arXiv. http://arxiv.org/pdf/2408.07542v1
The Feedback Prize: A Case Study in Assisted Writing Feedback Tools
Perpetual Baffour, Scott Crossley, Yu Tian, Alex Franklin, Natalie Rambis, Meg Benner, Ulrich Boser. (08/2024). The Learning Agency Lab. https://the-learning-agency-lab.com/wp-content/uploads/2023/08/TLA-Lab_Whitepap…
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
Ty Feng, Sa Liu, Dipak Ghosal. (07/2024). arXiv. https://arxiv.org/pdf/2407.10246
