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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 241 - 270 of 676
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration
Zixin Chen, Jiachen Wang, Yumeng Li, Haobo Li, Chuhan Shi, Rong Zhang, Huamin Qu. (08/2025). arXiv. http://arxiv.org/pdf/2507.20655v2
Predicting ChatGPT Use in Assignments: Implications for AI-Aware Assessment Design
Surajit Das, Aleksei Eliseev. (08/2025). arXiv. http://arxiv.org/pdf/2508.12013v1
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Xuyang Guo, Zekai Huang, Zhao Song, Jiahao Zhang. (08/2025). arXiv. http://arxiv.org/pdf/2508.13214v1
RPKT: Learning What You Don't Know - Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.11892v1
From Misunderstandings To Learning Opportunities: Leveraging Generative AI In Discussion Forums To Support Student Learning
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi. (08/2025). arXiv. http://arxiv.org/pdf/2508.11150v1
LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction
Maoquan Zhang, Bisser Raytchev, Xiujuan Sun. (08/2025). arXiv. http://arxiv.org/pdf/2508.11153v1
Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing
Kaixun Yang, Yizhou Fan, Luzhen Tang, Mladen Rakovic, Xinyu Li, Dragan Ga_evi_, Guanliang Chen. (08/2025). arXiv. http://arxiv.org/pdf/2508.10310v1
Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
Bhavishya Tarun, Haoze Du, Dinesh Kannan, Dr. Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.11062v1
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
Sinh Trong Vu, Hieu Trung Pham, Dung Manh Nguyen, Hieu Minh Hoang, Nhu Hoang Le, Thu Ha Pham, Tai Tan Mai. (08/2025). arXiv. http://arxiv.org/pdf/2507.22369v2
Navigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI
Rajan Kadel, Samar Shailendra, Urvashi Rahul Saxena. (08/2025). arXiv. http://arxiv.org/pdf/2508.11709v1
Mathematical Computation and Reasoning Errors by Large Language Models
Liang Zhang, Edith Aurora Graf. (08/2025). arXiv. http://arxiv.org/pdf/2508.09932v2
Aryabhata: An exam-focused language model for JEE Math
Ritvik Rastogi, Sachin Dharashivkar, Sandeep Varma. (08/2025). arXiv. http://arxiv.org/pdf/2508.08665v2
Next-Gen Education: Enhancing AI for Microlearning
Saha, S., Rahbari, F., Sadique, F., Velamakanni, S. K. C., Farooque, M., Rothwell, W. J.. (08/2025). arXiv. http://arxiv.org/pdf/2508.11704v1
Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
Sai Siddartha Maram, Ulia Zaman, Magy Seif El-Nasr. (08/2025). arXiv. http://arxiv.org/pdf/2508.11707v1
From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics
Amogh Sirnoorkar, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.09825v1
Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment
Farzana Zahid, Anjalika Sewwandi, Lee Brandon, Vimal Kumar, Roopak Sinha. (08/2025). arXiv. http://arxiv.org/pdf/2508.08629v1
Designing a Feedback-Driven Decision Support System for Dynamic Student Intervention
Timothy Oluwapelumi Adeyemi, Nadiah Fahad AlOtaibi. (08/2025). arXiv. http://arxiv.org/pdf/2508.07107v2
Reflective Homework as a Learning Tool: Evidence from Comparing Thirteen Years of Dual vs. Single Submission
Madhur Dixit, Kavya Lalbahadur Joshi, Kaveri Bhalchandra Konde, Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.09314v1
The Boiling-Frog Problem of Physics Education
Gerd Kortemeyer. (08/2025). arXiv. http://arxiv.org/pdf/2508.08842v1
CODAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael FŠrber. (08/2025). arXiv. http://arxiv.org/pdf/2508.08386v1
Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik, Munmun De Choudhury. (08/2025). arXiv. http://arxiv.org/pdf/2508.06849v1
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Ben Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel. (08/2025). arXiv. http://arxiv.org/pdf/2508.08314v1
Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05952v1
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin,Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05953v1
Between Tool and Trouble: Student Attitudes Toward AI in Programming Education
Sergio Rojas-Galeano, Julian Tejada, Fernando Marmolejo-Ramos. (08/2025). arXiv. http://arxiv.org/pdf/2508.05999v1
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li. (08/2025). arXiv. http://arxiv.org/pdf/2508.05979v1
Al Conversational Tutors in Foreign Language Learning: A Mixed-Methods Evaluation Study
Nikolaos Avouris. (08/2025). arXiv. http://arxiv.org/pdf/2508.05156v1
Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures
Peer-Benedikt Degen, Igor Asanov. (08/2025). arXiv. http://arxiv.org/pdf/2508.05116v1
Everything You Need to Know About CS Education: Open Results from a Survey of More Than 18,000 Participants
Katsiaryna Dzialets, Aleksandra Makeeva, Ilya Vlasov, Anna Potriasaeva, Aleksei Rostovskii, Yaroslav Golubev, Anastasiia Birillo. (08/2025). arXiv. http://arxiv.org/pdf/2508.05286v1
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
Tian-Fang Zhao, Wen-Xi Yang, Guan Liu, Liang Yang. (08/2025). arXiv. http://arxiv.org/pdf/2508.03174v2
