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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 781 - 810 of 1118
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper. (06/2025). arXiv. http://arxiv.org/pdf/2506.19107v2
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv. http://arxiv.org/pdf/2506.19325v2
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai
Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
Using Generative AI in Software Design Education: An Experience Report
Victoria Jackson, Susannah Liu, Andre van der Hoek. (06/2025). arXiv. http://arxiv.org/pdf/2506.21703v1
Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
Mustafa Demir, Jacob Miratsky, Jonathan Nguyen, Chun Kit Chan, Punya Mishra, Abhishek Singharoy. (06/2025). arXiv. http://arxiv.org/pdf/2506.22520v1
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos
Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam. (06/2025). arXiv. http://arxiv.org/pdf/2506.20600v1
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
"How can we learn and use Al at the same time?": Participatory Design of GenAl with High School Students
Isabella Pu, Prerna Ravi, Linh Dieu Dinh, Chelsea Joe, Caitlin Ogoe, Zixuan Li, Cynthia Breazeal, Anastasia K. Ostrowski. (06/2025). arXiv. http://arxiv.org/pdf/2506.15525v2
Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
Angxuan Chen, Jingjing Lian, Xinran Kuang, Jiyou Jia. (06/2025). arXiv. http://arxiv.org/pdf/2506.19364v1
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
Russell Beale. (06/2025). arXiV. https://arxiv.org/abs/2506.19484
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants
Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
CoachGPT: A Scaffolding-based Academic Writing Assistant
Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang. (06/2025). arXiv. http://arxiv.org/pdf/2506.18149v1
A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
Sunjun Kweon, Sooyohn Nam, Hyunseung Lim, Hwajung Hong, Edward Choi. (06/2025). arXiv. http://arxiv.org/pdf/2506.17363v1
Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger. (06/2025). arXiv. http://arxiv.org/pdf/2506.17196v1
Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
Zhiqing Wang, Haoxiang Fan, Shiwei Wu, Qiaoyi Chen, Yongqi Liang, Zhenhui Peng. (06/2025). arXiv. http://arxiv.org/pdf/2506.16874v1
From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
Tong Hua, Songzan Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.15955v1
Students' Reliance on AI in Higher Education: Identifying Contributing Factors
Griffin Pitts, Neha Rani, Weedguet Mildort, Eva-Marie Cook. (06/2025). arXiv. http://arxiv.org/pdf/2506.13845v1
Sense and Sensibility: What makes a social robot convincing to high-school students?
Pablo Gonz‡lez-Oliveras, Olov Engwall, Ali Reza Majlesi. (06/2025). arXiv. http://arxiv.org/pdf/2506.12507v1
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, Jorg Kruger, Xavier Fresquet. (06/2025). arXiv. http://arxiv.org/pdf/2506.12437v1
Rethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education
Prakash Shukla, Suchismita Naik, Ike Obi, Jessica Backus, Nancy Rasche, Paul Parsons. (06/2025). arXiv. http://arxiv.org/pdf/2506.08467v2
"Check My Work?" Measuring Sycophancy in a Simulated Educational Context
Chuck Arvin. (06/2025). arXiv. http://arxiv.org/pdf/2506.10297v1
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel. (06/2025). arXiv. http://arxiv.org/pdf/2506.11326v1
LLM-Driven Personalized Answer Generation and Evaluation
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, Gabor Kismihok. (06/2025). arXiv. http://arxiv.org/pdf/2506.10829v1
SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
Wentao Ge, Yuqing Sun, Ziyan Wang, Haoyue Zheng, Weiyang He, PiaoHong Wang, Qianyu Zhu, Benyou Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.09968v1
AI Tutors vs. Tenacious Myths: Evidence from Personalised Dialogue Interventions in Education
Brooklyn J. Corbett, Jason M. Tangen. (06/2025). arXiv. http://arxiv.org/pdf/2506.09292v1
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
Kseniia Petukhova, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.07626v1
AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting
Greg Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, Gregorio Ponti. (06/2025). scientific reports. https://www.nature.com/articles/s41598-025-97652-6
Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs
Shmuel Berman, Yuval Kansal, Lydia Liu. (06/2025). arXiv. http://arxiv.org/pdf/2506.03051v1
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.03032v1
