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

Showing 61 - 90 of 412 studies

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
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
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
Tracing Prompt-Level Trajectories To Understand Student Learning With AI In Programming Education

Tianyu Shao, Miguel Feijoo-Garcia, Yi Zhang, Hugo Castellanos, Tawfiq Salem, Alejandra Magana, Tianyi Li. (04/2026). arXiv. https://arxiv.org/abs/2604.10400v1
Agora: Teaching The Skill Of Consensus-Finding With AI Personas Grounded In Human Voice

Prerna Ravi, Om Gokhale, Suyash Pradeep Fulay, Eugene Yi, Deb Roy, Michiel Bakker. (04/2026). arXiv. https://arxiv.org/abs/2603.07339v3
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
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
Tailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners

Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv. https://arxiv.org/abs/2603.28370v2
Evaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms

Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2506.04822v3
Understanding Teacher Revisions Of Large Language Model-Generated Feedback

Conrad Borchers, Luiz Rodrigues, Newarney Torrezao da Costa, Cleon Xavier, Rafael Ferreira Mello. (03/2026). arXiv. https://arxiv.org/abs/2603.27806v1
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
Shaping Credibility Judgments In Human-Genai Partnership Via Weaker LLMs: A Transactive Memory Perspective On AI Literacy

Md Touhidul Islam, Mahir Akgun, Syed Billah. (03/2026). arXiv. https://arxiv.org/abs/2603.26522v1
Beyond Detection: Rethinking Education In The Age Of AI-Writing

Maria Marina, Alexander Panchenko, and Vasily Konovalov. (03/2026). arXiv. https://arxiv.org/abs/2603.25329v1
From Slides To Chatbots: Enhancing Large Language Models With University Course Materials

Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues. (03/2026). arXiv. https://arxiv.org/abs/2510.22272v2
Explainability And Certification Of AI-Generated Educational Assessments

Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education

Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Ella: Generative AI-Powered Social Robots For Early Language Development At Home

Victor Nikhil Antony, Shiye Cao, Shuning Wang, Chien-ming Huang. (03/2026). arXiv. https://arxiv.org/abs/2603.12508v1
Shiksha Copilot: Teacher-AI Collaboration For Curating And Customizing Lesson Plans In Low-Resource Schools

Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia, Nirmit Arora, Rahul Singh, Rene F. Kizilcec, Akshay Nambi, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2507.00456v3
Heal: Hindsight Entropy-Assisted Learning For Reasoning Distillation

Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian. (03/2026). arXiv. https://arxiv.org/abs/2603.10359v1
Trace: AI-Assisted Assessment Of Collaborative Projects In Computer Science Education

Songmei Yu, Andrew Zagula. (03/2026). arXiv. https://arxiv.org/abs/2510.03998v3
Designing Culturally Aligned AI Systems For Social Good In Non-Western Contexts

Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2509.16158v3
Autoscoring Anticlimax: A Meta-Analytic Understanding Of AI'S Short-Answer Shortcomings And Wording Weaknesses

Michael Hardy. (03/2026). arXiv. https://arxiv.org/pdf/2603.04820v1
Chatbot Conversations In Physics Education: Using Artificial Intelligence To Analyze Student Reasoning Through Computational Grounded Theory

Atharva Dange, Ramón López. (03/2026). arXiv. https://arxiv.org/pdf/2603.04616v1
Stan: An Llm-Based Thermodynamics Course Assistant

Eric M. Furst, Vasudevan Venkateshwaran. (03/2026). arXiv. https://arxiv.org/pdf/2603.04657v1
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms

Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv. https://arxiv.org/pdf/2603.02830v1
Uniskill: A Dataset For Matching University Curricula To Professional Competencies

Nurlan Musazade, Joszef Mezei, Mike Zhang. (03/2026). arXiv. https://arxiv.org/pdf/2603.03134v1
When Shallow Wins: Silent Failures And The Depth-Accuracy Paradox In Latent Reasoning

Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary. (03/2026). arXiv. https://arxiv.org/pdf/2603.03475v1
Confusion-Aware Rubric Optimization For Llm-Based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00451v1
Optimizing In-Context Demonstrations For Llm-Based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin C. Haudek, Joseph Krajcik, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00465v1
Bridge The Gap: Mitigating Bias Amplification In Automated Scoring Of English Language Learners Via Inter-Group Data Augmentation

Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.23580v1