ChatGPT / OpenAI GPT

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 691 - 720 of 1083 studies

Benchmarking the Pedagogical Knowledge of Large Language Models

Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, María José Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
ChatGPT produces more “lazy” thinkers: Evidence of cognitive engagement decline

Georgios P. Georgiou. (06/2025). arXiv. http://arxiv.org/pdf/2507.00181v1
Designing an Adaptive Storytelling Platform to Promote Civic Education in Politically Polarized Learning Environments

Christopher M. Wegemer, Edward Halim, Jeff Burke. (06/2025). arXiv. http://arxiv.org/pdf/2507.00161v1
Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management

Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska, Jarosław A. Chudziak. (06/2025). arXiv. http://arxiv.org/pdf/2506.23774v1
Assessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays

Selin Dik, Osman Erdem, Mehmet Dik. (06/2025). arXiv. http://arxiv.org/pdf/2506.23517v1
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
Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education

Russell Beale. (06/2025). arXiv. http://arxiv.org/pdf/2506.22231v1
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, Hari Subramonyam. (06/2025). arXiv. http://arxiv.org/pdf/2506.20600v1
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests

Masaki Uto, Yuma Ito. (06/2025). arXiv. http://arxiv.org/pdf/2506.20119v1
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
Deciphering Emotions In Children Storybooks: A Comparative Analysis Of Multimodal Llms In Educational Applications

Bushra Asseri, Estabraq Abdelaziz, Maha Al Mogren, Tayef Alhefdhi, Areej Al-Wabil. (06/2025). arXiv. http://arxiv.org/pdf/2506.18201v1
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
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv. http://arxiv.org/pdf/2506.16982v1
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
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
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
Designing Effective LLM-Assisted Interfaces for Curriculum Development

Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi, Gabor Kismihok. (06/2025). arXiv. http://arxiv.org/pdf/2506.11767v1
Graduated Realism: A Pedagogical Framework for AI-Powered Avatars in Virtual Reality Teacher Training

Judson Leroy Dean Haynes IV. (06/2025). arXiv. http://arxiv.org/pdf/2506.11890v1
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
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
"Check My Work?" Measuring Sycophancy in a Simulated Educational Context

Chuck Arvin. (06/2025). arXiv. http://arxiv.org/pdf/2506.10297v1
COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content

Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.09367v1
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
Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting

Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Kasser, Mrinmaya Sachan. (06/2025). arXiv. http://arxiv.org/pdf/2506.08702v1