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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 669
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
Structured AI Demonstrations And Student LLM Use In Engineering Mechanics: Study Design And Preliminary Results
Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune. (07/2026). arXiv. https://arxiv.org/abs/2607.28710v1
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (07/2026). arXiv. https://arxiv.org/abs/2607.28210v1
Beyond Direct Answering: Aligning Educational LLMs As Socratic Guides Via Heuristic Reinforcement Learning
Xiaokun Wang, Siyu Song, Wentao Liu, Xiaodong Zou. (07/2026). arXiv. https://arxiv.org/abs/2607.22996v1
Teachy Mini: Development And Preliminary Evaluation Of A Knowledge-Based Generative Social Robot For Higher Education
Stephan Vonschallen, Karim Kaufmann, Dominique Oberle, Friederike Eyssel, Theresa Schmiedel. (07/2026). arXiv. https://arxiv.org/abs/2607.22345v1
How Well Does AI-Generated Feedback Work? Intrinsic And Extrinsic Evaluation Across More Than 20,000 Efl Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. (07/2026). arXiv. https://arxiv.org/abs/2607.14591v1
When Rubrics Change: Cross-Rubric Generalization For Critical Thinking Essay Scoring
Nischal Ashok Kumar, Payu Wittawatolarn, Sana Kang, Marisa C. Peczuh, Blair Lehman, Ryan Baker, Caitlin Mills, Sherry Lachman, Ruochen Sun, Andrew Lan. (07/2026). arXiv. https://arxiv.org/abs/2607.13433v1
Analyzing Curricular Pattern Complexity Using AI To Improve On-Time Graduation Rates
Lynn Vonderhaar, Juan Couder, Siri Siqveland, Omar Ochoa, James Pembridge. (07/2026). arXiv. https://arxiv.org/abs/2607.13094v1
The Paternalistic Filter: Epistemic Injustice And Differential Refusal In LLM-Mediated History Education For Marginalized Romanian Students
Alexis Popovici, Andrei Ionascu, Adrian Marius Dumitran. (07/2026). arXiv. https://arxiv.org/abs/2607.11292v1
Learning In Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework For Language Learning
Nicy Scaria, Silvester John Joseph Kennedy, Deepak Subramani. (07/2026). arXiv. https://arxiv.org/abs/2604.22770v2
How Annotation Trains Annotators: Competence Development In Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczƒôsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko. (07/2026). arXiv. https://arxiv.org/abs/2604.02951v2
LLM-Generated Design Problems For Assessing Higher-Order Thinking In Project-Based Learning
Ahmad D. Suleiman, Daqing Hou, Maliha Noushin Raida. (07/2026). arXiv. https://arxiv.org/abs/2607.11032v1
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding For LLM Agents
Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas. (07/2026). arXiv. https://arxiv.org/abs/2602.01415v5
When AI Is Wrong On Purpose: How Students Respond To Buggy Genai Code
Victor-Alexandru Pădurean, Kaitlin Riegel, Alkis Gotovos, Jyotika Mahapatra, Ahana Ghosh, Paul Denny, Juho Leinonen, James Prather, Adish Singla. (07/2026). arXiv. https://arxiv.org/abs/2607.05068v1
Deanllm: A Framework For Automated Quality Review Of AI-Generated Feedback
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Ji-Yoon Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gasevic. (07/2026). arXiv. https://arxiv.org/abs/2508.05952v2
Child Safety In Generative AI: An Expert-Guided And Incident-Grounded Evaluation Framework
Haein Kong. (07/2026). arXiv. https://arxiv.org/abs/2607.00395v1
Evaluating Interactivity: Toward Automated Assessment Of AI-Generated Explorable Explanations
Xiaozao Wang, Zhewei Wang, Hongyi Wen. (06/2026). arXiv. https://arxiv.org/abs/2606.31012v1
AI In The Wild: A Large Scale Analysis Of Authentic Interactions Of College Students With Generative AI
Taelin Karidi, Ofra Amir, Ido Roll. (06/2026). arXiv. https://arxiv.org/abs/2606.29442v1
Llmography: Transforming Human-AI Conversations Into Traceability, Oversight, And Auditability Indicators
Mohammed Bousmah. (06/2026). arXiv. https://arxiv.org/abs/2606.29437v1
AI-Driven Analytics Of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts And The Learning Design
Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz. (06/2026). arXiv. https://arxiv.org/abs/2606.09831v2
LecturaRaagents: A Multi-Agent Framework For Adaptive Personalized AI-Assisted Learning And Embodied Teaching
Jaward Sesay, Yue Yu, Siwei Dong, Guangyao Chen, Börje F. Karlsson. (06/2026). arXiv. https://arxiv.org/abs/2606.16428v2
Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi and Jinho D. Choi. (06/2026). arXiv. https://arxiv.org/abs/2602.04109v2
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (06/2026). arXiv. https://arxiv.org/abs/2606.20138v1
"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). arXiv. https://arxiv.org/abs/2606.03090v2
LLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv. https://arxiv.org/abs/2606.17507v1
Beyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (06/2026). arXiv. https://arxiv.org/abs/2606.16206v1
A Multi-Level Analysis Of Factors Associated With Student Performance: A Machine Learning Approach To The Saeb Microdata
Rodrigo Tertulino, Laércio Alencar. (06/2026). arXiv. https://arxiv.org/abs/2510.22266v3
Large-Scale Semantic Mapping Of Learner Agency And Autonomy Reveals What Measurement And Generative AI Research Overlook
Fei Qin, Xiaobo Liu, Yaowen Zhang, Xuming Li, Fei Wang, Mutlu Cukurova, Jingjing Chen, Yu Zhang. (06/2026). arXiv. https://arxiv.org/abs/2606.10881v2
