Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 421 - 450 of 577
Improve LLM-based Automatic Essay Scoring with Linguistic Features
Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li. (02/2025). arXiv. https://arxiv.org/pdf/2502.09497
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng. (02/2025). arXiv. https://doi.org/10.48550/arXiv.2502.12633
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Xuansheng Wu, Padmaja Pravin Saraf, Gyeonggeon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai. (02/2025). arXiv. http://arxiv.org/pdf/2407.18328v2
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
Kaushal Kumar Maurya, KV Aditya Srivatsa, Kseniia Petukhova and Ekaterina Kochmar. (02/2025). arXiv. https://arxiv.org/pdf/2412.09416
Scaffolding Middle-School Mathematics Curricula With Large Language Models
Rizwaan Malik, Dorna Abdi, Rose Wang, Dorottya Demszky. (02/2025). British Journal of Educational Technology. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13571?af=R
Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
Kathrin Sessler, Arne Bewersdorff, Claudia Nerdel, Enkelejda Kasneci. (02/2025). arXiv. https://arxiv.org/pdf/2502.12842
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility
Jason Jabbour, Kai Kleinbard, Olivia Miller, Robert Haussman, Vijay Janapa Reddi. (02/2025). arXiv. https://arxiv.org/pdf/2502.00341
The Art of Storytelling: Multi-Agent Generative AI for Dynamic Multimodal Narratives
Samee Arif, Taimoor Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Agha Ali Raza, Awais Athar. (02/2025). arXiv. http://arxiv.org/pdf/2409.11261v4
A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT*
Yizhou Zhou, Mengqiao Zhang, Yuan-Hao Jiang, Xinyu Gao, Naijie Liu, Bo Jiang. (01/2025). arXiv. http://arxiv.org/pdf/2501.06819v1
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li, Mutlu Cukurova, Sahan Bulathwela. (01/2025). arXiv. http://arxiv.org/pdf/2501.05220v1
Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Audrey Salmon, Katie Hammer, Eddie Antonio Santos, Brett A. Becker. (01/2025). arXiv. http://arxiv.org/pdf/2501.05706v1
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
Zhaoxing LI, Vahid Yazdanpanah, Jindi Wang, Wen Gu, Lei Shi, Alexandra I. Cristea, Sarah Kiden, Sebastian Stein. (01/2025). arXiv. https://arxiv.org/pdf/2502.15709
Enhancing textual textbook question answering with large language models and retrieval augmented generation
Hessa A. Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani Jamal. (01/2025). arXiv. http://arxiv.org/pdf/2402.05128v3
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
Stephanie L. Day, Jacapo Cirica, Steven R. Clapp, Veronika Penkova, Amy E. Giroux, Abbey Banta, Catherine Bordeau, Poojitha Mutteneni, Ben D. Sawyer. (01/2025). arXiv. http://arxiv.org/pdf/2501.09158v1
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Ga‘l Gendron, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu. (01/2025). arXiv. http://arxiv.org/pdf/2309.10444v5
Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai. (01/2025). arXiv. http://arxiv.org/pdf/2501.06704v1
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
Yooseop Lee, Suin Kim, Yohan Jo. (01/2025). arXiv. https://arxiv.org/pdf/2501.13125
Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
Xiangen Hu, Sheng Xu, Richard Tong, & Art Graesser. (01/2025). arXiv. http://arxiv.org/pdf/2501.06682v1
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Kaser. (01/2025). arXiv. http://arxiv.org/pdf/2409.08027v2
IntelliChain: An Integrated Framework for Enhanced Socratic Method Dialogue with LLMs and Knowledge Graphs
Changyong Qi, Linzhao Jia, Yuang Wei, Yuan-Hao Jiang, Xiaoqing Gu. (01/2025). arXiv. https://arxiv.org/pdf/2502.00010
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
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
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
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
Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements
Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed. (12/2024). arXiv. https://arxiv.org/pdf/2407.18310
You're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
Dominic Lohr, Hieke Keuning, Natalie Kiesler. (12/2024). arXiv. http://arxiv.org/pdf/2412.03516v1
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
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
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments
Prakash Aryan. (12/2024). arXiv. https://arxiv.org/pdf/2412.06229
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
