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Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 30 of 412 studies

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
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics

Markus Sebastian Feser, Paul Tschisgale. (09/2026). arXiv. https://arxiv.org/abs/2607.28210v2
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
Studentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains

Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv. https://arxiv.org/abs/2609.28470?utm_source=chatgpt.com
Aware But Unprepared: Measuring The Security Awareness-Behavior Gap In Student Use Of LLM-Generated Code With Bifrost

Jaehwan Park, Seonhye Park, Kyungchan Lim, Doowon Kim, Doowon Kim. (09/2026). arXiv. https://arxiv.org/abs/2511.20878v3
Reducing Barriers To Academic Support: Evaluating A Course-Specific RAG System For Addressing Help-Seeking Disparities In Higher Education

Andy Gray, Jake Hobbs. (09/2026). arXiv. https://arxiv.org/abs/2609.21600v1
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
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
Generative AI And Extended Reality In Collaborative Architectural Design Education: An Exploratory Studio Study

Yao Xiao, Max Chen, Yichen Li, Nathaniel Powers, Maxwell Wiesenfeld, Gillian Smith, Soroush Farzin, Shichao Liu. (09/2026). arXiv. https://arxiv.org/abs/2609.13494v1
Limits Of LLM Text Detectors In Education

Lukas Gehring, Benjamin PaaBen. (09/2026). arXiv. https://arxiv.org/abs/2508.08096v2
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
AI In Particle Physics Education: Research Problems And Foundational Skills

M. Mikhasenko, M. Stahl, I. Segal, Dhruvanshu Parmar, A. Zimmer, A. Kazatsky. (09/2026). arXiv. https://arxiv.org/abs/2609.05719v1
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
Mitigating AI Risks In Computing Education Via LLM-Driven Lecture Video Curation

Owen Tang, Alexandra Vassar, Jake Renzella. (08/2026). arXiv. https://arxiv.org/abs/2608.16131v1
INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

Rose Niousha, Minwoo Kang, Narges Norouzi. (08/2026). arXiv. https://arxiv.org/abs/2608.10492v2
AI-Generated Interactive Fiction For Educational Use: A Pilot Study Of Perceived Comprehensibility, Coherence, And Engagement

F. Rogosch, A. Schrader. (08/2026). arXiv. https://arxiv.org/abs/2608.10818v1
Can AI deliver appropriate support for diverse student profiles?: A large-scale evaluation

Sonsoles López-Pernas, Eduardo Araujo Oliveira, and Kamila Misiejuk, Fitsum Gizachew Deriba, Rogers Kaliisa, Mohammed Saqr. (08/2026). Computers in Human Behavior: Artifical Humans. https://pdf.sciencedirectassets.com/783247/1-s2.0-S2949882126X20023/1-s2.0-S294…
When LLM Essays Outscore Student Essays: What A Korean Writing Rubric Rewards And Where Readers Disagree

Shinwoo Park, Yo-Sub Han. (08/2026). arXiv. https://arxiv.org/abs/2601.19913v4
What Remains Human In Mathematics In The Age Of AI

Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
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
Cost-Efficient Generative AI Summarization For Scalable Automated Essay Scoring In Educational Assessment

Haowei Hua. (07/2026). arXiv. https://arxiv.org/abs/2607.15829v1
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
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
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