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Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 601 - 630 of 830
Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzeyev. (05/2025). arXiv. http://arxiv.org/pdf/2506.00682v1
Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Zosia Krusberg. (05/2025). arXiv. http://arxiv.org/pdf/2506.00229v1
Evaluating Gemini in an Arena for Learning
LearnLM Team, Google. (05/2025). arXiv. http://arxiv.org/pdf/2505.24477v1
Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
Dr Canh Thien Dang, Dr An Nguyen. (05/2025). arXiv. http://arxiv.org/pdf/2506.00050v1
A Human-Centric Approach to Explainable AI for Personalized Education
Vinitra Swamy. (05/2025). arXiv. http://arxiv.org/pdf/2505.22541v1
From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots
Santiago Berrezueta-Guzman, Stephan Krusche, Stefan Wagner. (05/2025). arXiv. http://arxiv.org/pdf/2505.22093v1
Learn Like Feynman: Developing and Testing an AI-Driven Feynman Bot
Akshaya Rajesh, Sumbul Khan. (05/2025). arXiv. http://arxiv.org/pdf/2506.09055v1
RATAS: A Generative AI Framework for Explainable and Scalable Automated Answer Grading
Masoud Safilian, Amin Beheshti, Stephen Elbourn. (05/2025). arXiv. http://arxiv.org/pdf/2505.23818v1
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Maria Cristina Carrisi, Mirko Marras, Sara Vergallo. (05/2025). arXiv. http://arxiv.org/pdf/2505.21398v1
A qualitative systematic review on Al empowered self-regulated learning in higher education
Min Lan, Xiaofeng Zhou. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00319-0
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski. (05/2025). arXiv. http://arxiv.org/pdf/2505.11899v1
Are LLMs Ready for English Standardized Tests? A Benchmarking and Elicitation Perspective
Luoxi Tang, Tharunya Sundar, Shuai Yang, Ankita Patra, Manohar Chippada, Giqi Zhao, Yi Li, Riteng Zhang, Tunan Zhao, Ting Yang, Yuqiao Meng, Weicheng Ma, Zhaohan Xi. (05/2025). arXiv. http://arxiv.org/pdf/2505.17056v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v1
Towards Robust Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning
Yanhao Jia, Xinyi Wu, Qinglin Zhang, Yiran Qin, Luwei Xiao, Shuai Zhao. (05/2025). arXiv. http://arxiv.org/pdf/2505.17050v1
VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback
Eason Chen, Chenyu Lin, Yu-Kai Huang, Xinyi Tang, Aprille Xi, Jionghao Lin, Kenneth Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.06676v1
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Xinzhe Zheng. (05/2025). arXiv. http://arxiv.org/pdf/2505.11119v1
Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
Eduardo Araujo Oliveira, Madhavi Mohoni, Sonsoles L¬ópez-Pernas, Mohammed Saqr. (05/2025). arXiv. http://arxiv.org/pdf/2505.08828v1
Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
SŸleyman …zdel, Can Sarpkaya, Efe Bozkir, Hong Gao, Enkelejda Kasneci. (05/2025). arXiv. http://arxiv.org/pdf/2505.07377v1
From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04869v1
Children's Mental Models of AI Reasoning: Implications for AI Literacy Education
Aayushi Dangol, Robert Wolfe, Runhua Zhao, JaeWon Kim, Trushaa Ramanan, Katie Davis, Julie A. Kientz. (05/2025). arXiv. http://arxiv.org/pdf/2505.16031v1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
Supporting Preschool Emotional Development with AI-Powered Robots
Santiago Berrezueta-Guzman, Mar’a Dol—n-Poza, Stefan Wagner. (05/2025). arXiv. http://arxiv.org/pdf/2505.18661v1
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, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (05/2025). arXiv. http://arxiv.org/pdf/2505.17238v1
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
Kester Wong, Bin Wu, Sahan Bulathwela, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.15093v1
Does ChatGPT Enhance Student Learning? A Systematic Review And Meta-Analysis Of Experimental Studies
Ruiqi Deng, Maoli Jiang, Xinlu Yu, Yuyan Lu, Shasha Liu. (04/2025). Computers and Education . https://www.sciencedirect.com/science/article/pii/S0360131524002380
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
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
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
