Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 451 - 480 of 657
"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
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
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation
Aniket Deroy, Subhankar Maity. (04/2025). arXiv. https://arxiv.org/pdf/2504.05693v1
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
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
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
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
Young Children's Anthropomorphism Of An Ai Chatbot: Brain Activation And The Role Of Parent Co-Presence
Kim, Pilyoung. (03/2025). arXiv. https://arxiv.org/abs/2512.02179
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
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
Emma Harvey, Allison Koenecke, RenŽ F. Kizilcec. (02/2025). arXiv. https://arxiv.org/pdf/2502.14592v1
Co-designing Large Language Model Tools for Project-Based Learning with K-12 Educators
Prerna Ravi, John Masla, Gisella Kakoti, Grace C. Lin, Emma Anderson, Matt Taylor, Anastasia K. Ostrowski, Cynthia Breazeal, Eric Klopfer, Hal Abelson. (02/2025). arXiv. https://arxiv.org/pdf/2502.09799
Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data
Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (02/2025). arXiv. https://www.arxiv.org/abs/2502.16383
The Responsible Development of Automated Student Feedback with Generative AI
Euan D Lindsay, Mike Zhang, Aditya Johri, Johannes Bjerva. (02/2025). arXiv. http://arxiv.org/pdf/2308.15334v3
The Art of Storytelling: Multi-Agent Generative AI for Dynamic Multimodal Narratives
Samee Arif, Taimoor Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Agha Ali Raza, Awais Athar. (02/2025). arXiv. http://arxiv.org/pdf/2409.11261v4
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
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility
Jason Jabbour, Kai Kleinbard, Olivia Miller, Robert Haussman, Vijay Janapa Reddi. (02/2025). arXiv. https://arxiv.org/pdf/2502.00341
Position: LLMs Can be Good Tutors in Foreign Language Education
Jingheng Ye, Shen Wang, Deqing Zhou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen. (02/2025). arXiv. https://arxiv.org/pdf/2502.05467
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng. (02/2025). arXiv. https://doi.org/10.48550/arXiv.2502.12633
Protecting Human Cognition in the Age of Al
Anjali Singh, Karan Taneja, Zhitong Guan, Avijit Ghosh. (02/2025). arXiv. https://arxiv.org/pdf/2502.12447
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
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
Yuang Wei, Yuan-Hao Jiang, Jiayi Liu, Changyong Qi, Linzhao Jia, Rui Jia. (02/2025). arXiv. http://arxiv.org/pdf/2412.00691v2
Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
Xiangen Hu, Sheng Xu, Richard Tong, & Art Graesser. (01/2025). arXiv. http://arxiv.org/pdf/2501.06682v1
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Ga‘l Gendron, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu. (01/2025). arXiv. http://arxiv.org/pdf/2309.10444v5
