Post-Secondary
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 631 - 660 of 911
Mathematical Capabilities of Large Language Models in Finnish Matriculation Examination
Mika Setala, Pieta Sikstrom, Ville Heilala, Tommi Karkkainen. (04/2025). arXiv. https://arxiv.org/pdf/2504.12347v1
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar, Gustav Sir, Yeongwook Yang, Eve Kikas, Raija Hamalainen, Tommi Karkkainen, Dragan Gasevic, Roger Azevedo. (04/2025). arXiv. https://arxiv.org/pdf/2504.16148v1
Exploring Student Behaviors and Motivations when using AI Teaching Assistants with Optional Guardrails
Amanpreet Kapoor, Marc Diaz, Stephen MacNeil, Leo Porter, Paul Denny. (04/2025). arXiv. https://arxiv.org/pdf/2504.11146v1
"All Roads Lead to ChatGPT": How Generative Al is Eroding Social Interactions and Student Learning Communities
Irene Hou, Owen Man, Kate Hamilton, Srishty Muthusekaran, Jeffin Johnykutty, Leili Zadeh, Stephen MacNeil. (04/2025). arXiv. https://arxiv.org/pdf/2504.09779v1
NotebookLM: An LLM with RAG for active learning and collaborative tutoring
Eugenio Tufino. (04/2025). arXiv. https://arxiv.org/pdf/2504.09720v1
Examining GPT's Capability to Generate and Map Course Concepts and Their Relationships
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma, Shin'ichi Konomi. (04/2025). arXiv. https://arxiv.org/pdf/2504.08856v1
AI-University: An LLM-based platform for instructional alignment to scientific classrooms
Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson, Shangshang Wang, Simone Cimolato, Dangli Cao, Willie Neiswanger, Krishna Garikipati. (04/2025). arXiv. https://arxiv.org/pdf/2504.08846v1
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
Manh Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla. (04/2025). arXiv. https://arxiv.org/pdf/2504.07655v1
AI-Based Identification And Support Of At-Risk Students: A Case Study Of The Moroccan Education System
Ismail Elbouknify, Ismail Berrada, Loubna Mekouar, Youssef Iraqui, EL Houcine Bergou, Hind Belhabib, Younes Nail, Souhail Wardi. (04/2025). arXiv. https://arxiv.org/pdf/2504.07160v1
INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
Jarne Thys, Sebe Vanbrabant, Davy Vanacken, Gustavo Rovelo Ruiz. (04/2025). arXiv. https://arxiv.org/pdf/2504.17677v1
Multilingual Performance Biases of Large Language Models in Education
Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). arXiv. https://arxiv.org/pdf/2504.17720v1
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
Ali Alfageeh, Sadegh Almahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour. (04/2025). arXiv. https://arxiv.org/pdf/2504.18691v1
Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
Chengzhi Zhang, Brian Magerko. (04/2025). arXiv. https://arxiv.org/pdf/2504.19038v1
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Fostering Self-Directed Growth with Generative AI: Toward a New Learning Analytics Framework
Qianrun Mao. (04/2025). arXiv. https://arxiv.org/pdf/2504.20851v1
Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment
Gen Li, Li Chen, Cheng Tang, Valdemar Svabensky, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada. (04/2025). arXiv. https://arxiv.org/pdf/2504.05716v1
Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education
Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello. (04/2025). arXiv. https://arxiv.org/pdf/2504.04815v1
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Audrey Zhang, Yifei Gao, Wannapon Suraworachet, Tanya Nazaretsky, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.10961v1
The Usage of AI in Teaching and Students' Creativity: The Mediating Role of Learning Engagement and the Moderating Role of AI Literacy
Min Zhou, Song Peng. (04/2025). Behavioral Sciences. https://www.mdpi.com/2076-328X/15/5/587
Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines
Cansu Koyuturk, Emily Theophilou, Sabrina Patania, Gregor Donabauer, Andrea Martinenghi, Chiara Antico, Alessia Telari, Alessia Testa, Sathya Bursic, Franca Garzotto, Davinia Hernandez-Leo, Udo Kruschwitz, Davide Taibi, Simona Amenta, Martin Ruskov, Dimitri Ognibene. (04/2025). arXiv. https://arxiv.org/pdf/2504.07840v1
EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework
Yao Shi, Rongkeng Liang, Yong Xu. (04/2025). arXiv. https://arxiv.org/pdf/2504.14928v1
AI Meets the Classroom: When Do Large Language Models Harm Learning?
Matthias Lehmann, Philipp B. Cornelius, Fabian J. Sting. (03/2025). arXiv. https://arxiv.org/pdf/2409.09047
Evaluating LLMs for Automated Scoring in Formative Assessments
Pedro C. Mendon¬ça, Filipe Quintal, F¬ábio Mendon¬ça. (03/2025). Applied Sciences. https://doi.org/10.3390/app15052787?urlappend=%3Futm_source%3Dresearchgate.net%…
AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection
Basak Demirok, Mucahid Kutlu. (03/2025). arXiv. https://arxiv.org/pdf/2412.16594
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz and Martin Ruskov. (03/2025). arXiv. https://arxiv.org/pdf/2503.02532
MindCraft: Revolutionizing Education through AI-Powered Personalized Learning and Mentorship for Rural India
Arihant Bardia, Aayush Agrawal. (02/2025). arXiv. https://www.arxiv.org/abs/2502.05826
Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty*
Yoshee Jain, John Hollander, Amber He, Sunny Tang, Liang Zhang, John Sabatini. (02/2025). arXiv. https://arxiv.org/pdf/2502.17785
Autograding Mathematical Induction Proofs with Natural Language Processing
Chenyan Zhao, Mariana Silva, Seth Poulsen. (02/2025). arXiv. http://arxiv.org/pdf/2406.10268v2
