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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 702
Supporting Perspective Acquisition And Opinion Formation On Societal Issues Through AI-Generated Japanese Rap Battle Debates
Ryota Mibayashi, Toru Urakawa, Dai Takanashi, Tomoya Morohoshi, Kanata Yamagishi, Ryuho Sekikawa, Yasuhiko Nishimura, Yuta Takeuchi, Hideaki Tamori, Takehiro Yamamoto, Hidenari Kiyomitsu, Hiroaki Ohshima. (10/2026). arXiv. https://arxiv.org/abs/2610.01179v1
When Evaluators Cry Wolf: Lessons From Production LLM-As-Judge Evaluation In Educational AI
Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper, Keanon O'Keefe, Patrick Russell. (09/2026). arXiv. https://arxiv.org/abs/2609.28478v2
Fairness Theatre: Evaluating Post-Hoc Fairness Interventions In Vendor-Controlled Early Warning Systems
Kelly McConvey, Angelina Zhai, Rebecca Li, Shion Guha. (09/2026). arXiv. https://arxiv.org/abs/2609.38552v1
Early Prediction Of AI-Assisted Cheating Risk In Online Exams Through Learning Analytics
Gokhan Akcapınar. (09/2026). arXiv. https://arxiv.org/abs/2609.37280v1
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (09/2026). arXiv. https://arxiv.org/abs/2607.28210v2
Argus: Academic Integrity In The Era Of Generative AI
David Racovan, Ajay Rawat, Christopher K. May, Jeffrey A. Turkstra. (09/2026). arXiv. https://arxiv.org/abs/2609.36073v1
LLM-As-A-Judge Validity Is Strongly Task-Dependent Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, Elise Agra. (09/2026). arXiv. https://arxiv.org/abs/2603.14732v3
A Benchmark For LLM'S Understanding Of Middle School And High School Science Topics
Noah L. Schroeder, Yessy Eka Ambarwati, Yuji Zhang, ChengXiang Zhai. (09/2026). arXiv. https://arxiv.org/abs/2609.32020v1
Evaluation Of Pre-Trained Models For Pedagogical Assessment Of Novel AI-Assisted Educational Questions
Michael Lawrence Castanares, Princess Ventures, Allan Tan. (09/2026). arXiv. https://arxiv.org/abs/2609.27749v1
A Course Intelligence Platform For Higher Education: Lessons From AI-Assisted Course Evaluation
Bo Yuan, Jiazi Hu, Haimei Zhao. (09/2026). arXiv. https://arxiv.org/abs/2411.02455v3
AI-Assisted Social Story Intervention For Special Education: The Design Of Adapted Stories
Buyankhishig Enkhjargal, Himanshi Lalwani, Hanan Salam. (09/2026). arXiv. https://arxiv.org/abs/2609.24245v1
From Content Generation To Learning Support: Pedagogy-Guided Generative Video Tutors For STEM Learning
Xinchen Ma, Shuimu Wang, Gaole He, Yanbin Zhang, Chunyang Wang, Yunshi Lan, Weining Qian. (09/2026). arXiv. https://arxiv.org/abs/2609.24083v1
Aware But Unprepared: Measuring The Security Awareness-Behavior Gap In Student Use Of LLM-Generated Code With Bifrost
Jaehwan Park, Seonhye Park, Kyungchan Lim, Hyoungshick Kim, Doowon Kim. (09/2026). arXiv. https://arxiv.org/abs/2511.20878v3
AI-Written Admissions Essays Are Widespread But Penalized
Calvin Isley, Johann D. Gaebler, Sharad Goel. (09/2026). arXiv. https://arxiv.org/abs/2609.22549v1
Teaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework For Reaching Rural Schools
Maxwell J. Jacobson, Gustavo Rodriguez-Rivera, Petros Drineas, Yexiang Xue. (09/2026). arXiv. https://arxiv.org/abs/2609.18072v1
Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study On Cooking Recipes
Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Kaser. (09/2026). arXiv. https://arxiv.org/abs/2609.17118v1
The Role Of Implicit And Explicit Demographic Signals In Large Language Model-Based Student Assessment
Donya Rooein, Luca Benedetto, Dirk Hovy. (09/2026). arXiv. https://arxiv.org/abs/2609.16993v1
Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
Lilian Killich, Marko Schmellenkamp, Fabian Vehlken, Thomas Zeume. (09/2026). arXiv. https://arxiv.org/abs/2609.17111v1
Towards Scalable Measurement Of Durable Skills
Amir Globerson, Amy Keeling, Anisha Choudhury, Anna Iurchenko, Aviad Segal, Avinatan Hassidim, Ayça Çakmakli, Ben Gomes, Benn Witt, Cathy Cheunga, Cristine Legare, Diana Akrong, Eliad Carmi, Elisabeth Bauer, Gal Elidan, Hadas Gelbart, Hairong Mu, Katherine Chou, Lev Borovoi, Nir Kerem, Niv Efron, Noa Kerrem Gilo, Preeti Singh, Rajvi Kapadia, Rena Levitt, Roni Rabin, Ronit Levavi Morad, Rotem Yulzary, Shashank Agarwal, Sophie Allweis, Tracey Lee-Joe, Tzvika Stein, Yael Bar Moshe, Yael Haramaty, Yaniv Carmel, Yishay Mor, Yoav Bar Sinai, Yoav Bergner, Yossi Matias, Yuri Lev. (09/2026). arXiv. https://arxiv.org/abs/2609.15864v1
Limits Of LLM Text Detectors In Education
Lukas Gehring, Benjamin PaaBen. (09/2026). arXiv. https://arxiv.org/abs/2508.08096v2
Generative AI Performance In Core Undergraduate Mathematics: A Curriculum-Level Case Study
Benjamin J. Walker, Nikoleta Kalaydzhieva, Beatriz Navarro Lameda, Ruth A. Reynolds. (09/2026). arXiv. https://arxiv.org/abs/2509.13359v4
A Human-In-The-Loop Framework For AI-Assisted Scoring In Large-Scale Writing Assessment
María Eugenia Curi, German Capdehourat, Isabel Amigo, Magdalena Romano, Rosana Serra, Adrian Silveira, Andres Peri. (09/2026). arXiv. https://arxiv.org/abs/2609.05143v1
AI-Augmented Inquiry And Regulation In Hybrid Systems: A Control Allocation Architecture For Preserving Epistemic Agency In Hybrid Human-AI Cognition
Jochen Kuhn, Peter Gerjets, Ulrich Trautwein, Jeffrey A. Greene, Sarah Malone, Patrik Vogt, Tim Futterer. (09/2026). arXiv. https://arxiv.org/abs/2608.21618v2
Eduguard: A Safe RAG-Based LLM Tutor For Programming Education
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha, Jungpil Shin. (09/2026). arXiv. https://arxiv.org/abs/2607.15738v2
Statistical Theory In The Age Of Machine-Assisted Mathematics: Rethinking How Theory Is Made And Taught
Pietro Coretto. (09/2026). arXiv. https://arxiv.org/abs/2609.04481v1
A Prompt-Engineering Approach To Develop Scalable, Flexible, And Real-Time Hybrid Micro-Level Personalization In A General Purpose AI Teaching Assistant
Saptarshi Basu, Sandeep Kakar, Ashok Goel. (09/2026). arXiv. https://arxiv.org/abs/2609.03402v1
Beyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (08/2026). arXiv. https://arxiv.org/abs/2606.16206v2
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. (08/2026). arXiv. https://arxiv.org/abs/2606.20138v2
Tutortrace: A Dataset And Taxonomy For Classifying Learner Behavioral States During AI-Assisted Programming Education
David Barron, Xiaohang Tang, Rezky Dwisantika, Minsun Kim, David H. Smith IV, Jiaming Cui, Yan Chen. (08/2026). arXiv. https://arxiv.org/abs/2608.26184v1
Revisiting The Performance Of Generative Artificial Intelligence On Introductory Object-Oriented Programming Assessments: Insights From 2026
Marina Lepp, Joosep Kaimre. (08/2026). arXiv. https://arxiv.org/abs/2608.16318v1
