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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 525
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv. http://arxiv.org/pdf/2509.14803v2
An Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1
RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing
Timothy Rupprecht, Enfu Nan, Arash Akbari, Arman Akbari, Lei Lu, Priyanka Maana, Sean Duffy, Pu Zhao, Yumei He, David Kael, Yanzhi Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.12168v1
A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur. (09/2025). arXiv. http://arxiv.org/pdf/2509.11947v1
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv. http://arxiv.org/pdf/2509.10647v1
Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus
Liqun He, Jiaqi Xu. (09/2025). arXiv. http://arxiv.org/pdf/2509.09125v1
Automatic Detection of Inauthentic Templated Responses in English Language Assessments
Yashad Samant, Lee Becker, Scott Hellman, Bradley Behan, Sarah Hughes, Joshua Southerland. (09/2025). arXiv. http://arxiv.org/pdf/2509.08355v1
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akcakaya, Georgios B. Giannakis. (09/2025). arXiv. http://arxiv.org/pdf/2509.08950v1
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models
Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.08997v1
Skill-based Explanations for Serendipitous Course Recommendation
Hung Chau, Run Yu, Zachary Pardos, Peter Brusilovsky. (08/2025). arXiv. http://arxiv.org/pdf/2508.19569v1
MathBuddy: A Multimodal System for Affective Math Tutoring
Debanjana Kar, Leopold B¬öss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
Prompting Strategies for Language Model-Based Item Generation in K-12 Education: Bridging the Gap Between Small and Large Language Models
Mohammad Amini, Babak Ahmadi, Xiaomeng Xiong, Yilin Zhang, Christopher Qiao. (08/2025). arXiv. http://arxiv.org/pdf/2508.20217v1
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv. http://arxiv.org/pdf/2508.19611v1
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu, Conor O'Sullivan, Keith Johnston, Vincent Wade. (08/2025). arXiv. http://arxiv.org/pdf/2508.18925v1
Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
A.S.M Mehedi Hasan, Md. Alvee Ehsan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem. (08/2025). arXiv. http://arxiv.org/pdf/2508.19475v1
MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
Surajit Das, Gourav Roy, Aleksei Eliseev, Ram Kumar Rajendran. (08/2025). arXiv. http://arxiv.org/pdf/2508.19014v1
Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
Ryan Hare, Ying Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.18406v1
Detecting Struggling Student Programmers using Proficiency Taxonomies
Noga Schwartz, Roy Fairstein, Avi Segal, Kobi Gal. (08/2025). arXiv. http://arxiv.org/pdf/2508.17353v1
ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
Wenhan Dong, Zhen Sun, Yuemeng Zhao, Zifan Peng, Jun Wu, Jingyi Zheng, Yule Liu, Xinlei He*, Yu Wang, Ruiming Wang, Xinyi Huang, Lei Mo*. (08/2025). arXiv. http://arxiv.org/pdf/2508.14377v2
Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
Liu Liu, Dai Rui. (08/2025). arXiv. http://arxiv.org/pdf/2508.16747v1
FACET: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (08/2025). arXiv. http://arxiv.org/pdf/2508.11401v2
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper. (08/2025). arXiv. http://arxiv.org/pdf/2508.16659v1
Translating the Force Concept Inventory in the age of AI
Marina Babayeva, Justin Dunlap, Marie Sn_tinov‡, Ralf Widenhorn. (08/2025). arXiv. http://arxiv.org/pdf/2508.13908v1
Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?
Henrique Godoy. (08/2025). arXiv. http://arxiv.org/pdf/2508.15835v1
Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (08/2025). arXiv. http://arxiv.org/pdf/2508.13962v1
Cognitive Structure Generation: From Educational Priors to Policy Optimization
Hengnian Gu, Zhifu Chen, Yuxin Chen, Jin Peng Zhou, Dongdai Zhou. (08/2025). arXiv. http://arxiv.org/pdf/2508.12647v1
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Xuyang Guo, Zekai Huang, Zhao Song, Jiahao Zhang. (08/2025). arXiv. http://arxiv.org/pdf/2508.13214v1
RPKT: Learning What You Don't Know - Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.11892v1
LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction
Maoquan Zhang, Bisser Raytchev, Xiujuan Sun. (08/2025). arXiv. http://arxiv.org/pdf/2508.11153v1
