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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 31 - 60 of 642
Math Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv. https://arxiv.org/abs/2604.27618v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics
Michael J. Parker, María G. Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
Human-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics
Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv. https://arxiv.org/abs/2604.26607v1
From Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests
Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv. https://arxiv.org/abs/2505.17056v2
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv. https://arxiv.org/abs/2604.25806v1
Your Students Don't Use LLMs Like You Wish They Did
Sebastian Kobler, Matthew Clemson, Angela Sun, Jonathan K. Kummerfeld. (04/2026). arXiv. https://arxiv.org/abs/2604.23486v1
Arguagent: AI-Supported Real-Time Grouping For Productive Argumentation In STEM Classrooms
Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai. (04/2026). arXiv. https://arxiv.org/abs/2604.23449v1
Teachmaster: Generative Teaching Via Code
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Tianle Zhou, Ruoyu Fu, Huatao Li, Ruijie Shi, Siheng Chen, Weinan E, Chen Qian. (04/2026). arXiv. https://arxiv.org/abs/2601.04204v2
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Argumath: AI-Simulated Environment For Pre-Service Teacher Training In Orchestrating Classroom Mathematics Argumentation
Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren, and Meng Xia. (04/2026). arXiv. https://arxiv.org/abs/2604.22205v1
Tell Me Why: Designing An Explainable LLM-Based Dialogue System For Student Problem Behavior Diagnosis
Zhilin Fan, Deliang Wang, Penghe Chen, Yu Lu. (04/2026). arXiv. https://arxiv.org/abs/2604.22237v1
Mathematical Modelling Of Ethical AI Use In Higher Education: A Coordination Game Framework For Future-Facing Learning
Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han. (04/2026). arXiv. https://arxiv.org/abs/2605.27400v1
Reliancescope: An Analytical Framework For Examining Students' Reliance On Generative AI Chatbots In Problem Solving
Hyoungwook Jin, Minju Yoo, Jieun Han, Zixin Chen, So-Yeon Ahn, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2602.16251v2
Heterogeneous Interaction Network Analysis (Hina): A New Learning Analytics Approach For Modelling, Analyzing, And Visualizing Complex Interactions In Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic, Alec Kirkley. (04/2026). arXiv. https://arxiv.org/abs/2601.06771v2
Hint-Writing With Deferred AI Assistance: Fostering Critical Engagement In Data Science Education
Anjali Singh, Christopher Brooks, Warren Li, Juho Kim, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2604.19931v1
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (04/2026). arXiv. https://arxiv.org/abs/2505.17238v3
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv. https://arxiv.org/abs/2603.03339v5
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Opencoderrank: Personalized Technical Assessments With Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao. (04/2026). arXiv. https://arxiv.org/abs/2509.06774v2
Sandpiper: Orchestrated AI-Annotation For Educational Discourse At Scale
Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Joshua Marland, Rachel Slama, Justin Reich, Kenneth Koedinger, Rene Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2603.08406v2
Pedagogical Safety In Educational Reinforcement Learning: Formalizing And Detecting Reward Hacking In AI Tutoring Systems
Oluseyi Olukola, Nick Rahimi. (04/2026). arXiv. https://arxiv.org/abs/2604.04237v1
Beyond The AI Tutor: Social Learning With LLM Agents
Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv. https://arxiv.org/abs/2604.02677v1
Exploring Effective Strategies For Building A User-Configured GPT For Coding Classroom Dialogues
Luwei Bai, Dongkeun Han, Sara Hennessy. (04/2026). arXiv. https://arxiv.org/abs/2506.07194v2
Evaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2506.04822v3
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova. (04/2026). arXiv. https://arxiv.org/abs/2511.08225v2
Evaluating LLMs For Answering Student Questions In Introductory Programming Courses
Thomas Van Mullem, Bart Mesuere, Peter Dawyndt. (03/2026). arXiv. https://arxiv.org/abs/2603.28295v1
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv. https://arxiv.org/abs/2511.14414v3
Compounding Disadvantage: Auditing Intersectional Bias In LLM-Generated Explanations Across Indian And American STEM Education
Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (03/2026). arXiv. https://arxiv.org/abs/2601.14506v2
