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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 391 - 420 of 525
ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale
Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (12/2024). arXiv. https://arxiv.org/pdf/2412.14200
Can OpenAI o1 outperform humans in higher-order cognitive thinking?
Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nyaaba, Arne Bewerdorff, Xiantong Yang, Xiaoming Zhai. (12/2024). arXiv. https://arxiv.org/pdf/2412.05753
AI Across Borders: Exploring Perceptions and Interactions in Higher Education
Juliana Gerard, Sahajpreet Singh, Morgan Macleod, Michael McKay, Antoine Rivoire, Tanmoy Chakraborty, Muskaan Singh. (12/2024). arXiv. https://arxiv.org/pdf/2501.00017
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning
Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan. (12/2024). arXiv. http://arxiv.org/pdf/2403.01304v2
LearnLM: Improving Gemini for Learning
LearnLM Team, Google. (12/2024). arXiv. https://arxiv.org/pdf/2412.16429
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments
Prakash Aryan. (12/2024). arXiv. https://arxiv.org/pdf/2412.06229
A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction
Nancy Otero, Stefania Druga and Andrew Lan. (12/2024). arXiv. http://arxiv.org/pdf/2412.03765v1
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrained Models for Autonomous Error Analysis and Correction
Tianlong Xu, Yi-Fan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen. (12/2024). arXiv. https://arxiv.org/pdf/2409.09403
Generating Al Literacy MCQs: A Multi-Agent LLM Approach
Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng. (12/2024). arXiv. http://arxiv.org/pdf/2412.00970v1
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Masoud Bashiri,Kamran Kowsari. (12/2024). arXiv. https://arxiv.org/pdf/2407.15012
MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI
Yunnong Chen, Shuhong Xiao, Yaxuan Song, Zejian Li, Lingyun Sun, Liuqing Chen. (12/2024). arXiv. https://arxiv.org/pdf/2412.09001
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis
Pegah Ahadian, Yunhe Feng, Karl Kosko, Richard Ferdig, Qiang Guan. (12/2024). arXiv. https://arxiv.org/pdf/2412.08633
VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM
Jeongwoo Lee, Kwangsuk Park, Jihyeon Park. (11/2024). arXiv. http://arxiv.org/pdf/2411.05423v1
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
Howzat? Appealing to Expert Judgement for Evaluating Human and AI Next-Step Hints for Novice Programmers
Neil C. C. Brown, Pierre Weill-Tessier, Juho Leinonen, Paul Denny, Michael Kolling. (11/2024). arXiv. http://arxiv.org/pdf/2411.18151v1
Where Assessment Validation and Responsible AI Meet
Jill Burstein, Geoffrey T. LaFlair. (11/2024). arXiv. http://arxiv.org/pdf/2411.02577v1
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
Prakhar Dixit, Tim Oates. (11/2024). arXiv. http://arxiv.org/pdf/2410.13293v2
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
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology
Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer. (11/2024). arXiv. http://arxiv.org/pdf/2411.03495v1
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
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
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
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
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
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
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
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
