Regression analysis (observational)

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

Showing 31 - 60 of 61 studies

Plagiarism Or Productivity? Students Moral Disengagement And Behavioral Intentions To Use ChatGPT In Academic Writing

John Paul P. Miranda, Rhiziel P. Manalese, Mark Anthony A. Castro, Renen Paul M. Viado, Vernon Grace M. Maniago, Rudante M. Galapon, Jovita G. Rivera, Amado B. Martinez Jr.. (03/2026). arXiv. https://arxiv.org/abs/2603.19549v1
From School AI Readiness To Student AI Literacy: A National Multilevel Mediation Analysis Of Institutional Capacity And Teacher Capability

Xiu Guan, Mingmin Zheng, Dragan Gašević, Wenxin Guo, Yingqun Liu, Xibin Han, Danijela Gašević, Ruiling Ma, Qi Wu, Lixiang Yan. (03/2026). arXiv. https://arxiv.org/abs/2603.20056v1
AI Chatbots Or Human Therapists? Belief-Based Predictors Of Mental Health Help-Seeking Intentions In The Age Of Generative AI

Junsang Park, Sarah A. Brown, David L. Vogel, Nan Zhao, Sharon Lynn Chu. (03/2026). arXiv. https://arxiv.org/abs/2512.03406v2
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI

Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May Dongmei Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
The Studychat Dataset: Analyzing Student Dialogues With Chatgpt In An Artificial Intelligence Course

Hunter McNichols, Fareya Ikram, Andrew Lan. (03/2026). arXiv. https://arxiv.org/pdf/2503.07928v4
Learning To Adopt Generative AI

Lijia Ma, Xingchen (Cedric) Xu, Yumei He, Yong Tan. (02/2026). arXiv. https://arxiv.org/pdf/2410.19806v3
Evaluating 21St-Century Competencies In Postsecondary Curricula With Large Language Models: Performance Benchmarking And Reasoning-Based Prompting Strategies

Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe Yu. (01/2026). arXiv. https://arxiv.org/pdf/2601.10983v1
Aiplato: A Novel Ai Tutoring And Stepwise Feedback System For Physics Homework

Atharva Dange, Ramón López, Nimish Shah, Louis Deslauriers. (01/2026). arXiv. https://arxiv.org/pdf/2601.09965v1
Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles And Learning In High School Physics

Natalia Revenga-Lozano, Karina E. Avila, Steffen Steinert, Matthias Schweinberger, Clara Gómez-Pérez, Jochen Kuhn, Stefan Küchemann. (01/2026). arXiv. https://arxiv.org/pdf/2601.09470v1
Objectiveed Buddybooks Efficacy Study Report Performance On Staar And I-Ready In Reading, Academic Year 2024-2025

Sofia Jimenez, Juliette Berg, Isabella Ilievski, Anna Robinson, Rachel Schechter. (01/2026). LXD Research. https://www.researchgate.net/publication/401168021_Objective_Ed_BuddyBooks_Effi…
Artificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis

Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv. https://arxiv.org/abs/2512.04115v1
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes

Matthew Nyaaba, Lehong Shi, Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Mapping The Ai Divide In Undergraduate Education: Community Detection In Disciplinary Networks And Survey Evidence

Liwen Zhang, Wei Si, Liwen Zhang, Jiangli Zhu, Xiaomin Ji. (10/2025). arXiv. http://arxiv.org/abs/2510.19288v1
Integrating Large Language Models And Evaluating Student Outcomes In An Introductory Computer Science Course

Annapurna Vadaparty, David H. Smith IV, Samvrit Srinath, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Daniel Zingaro, Leo Porter. (10/2025). arXiv. http://arxiv.org/abs/2510.18806v1
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study

Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Ben Domingue, Jake M. Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel. (08/2025). arXiv. http://arxiv.org/pdf/2508.08314v1
AI, Expert or Peer? Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake

Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (07/2025). arXiv. http://arxiv.org/pdf/2507.16013v1
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues

Fareya Ikram, Alexander Scarlatos, Andrew Lan. (07/2025). arXiv. http://arxiv.org/pdf/2507.06910v1
Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment

Canh Thien Dang, An Nguyen. (05/2025). arXiv. http://arxiv.org/pdf/2506.00050v1
Illusions of Intimacy: Emotional Attachment and Emerging Psychological Risks in Human-AI Relationships

Minh Duc Chu, Patrick Gerard, Kshitij Pawar, Charles Bickham, Kristina Lerman. (05/2025). arXiv. http://arxiv.org/pdf/2505.11649v2
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
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
Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality

Kaixun Yang, Mladen Raković, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gašević, Guanliang Chen. (12/2024). arXiv. https://arxiv.org/pdf/2412.07200
Equity in the Use of ChatGPT for the Classroom: A Comparison of the Accuracy and Precision of ChatGPT 3.5 vs. ChatGPT4 with Respect to Statistics and Data Science Exams

Monnie McGee, Bivin Sadler. (12/2024). arXiv. https://arxiv.org/pdf/2412.13116
GLAT: The Generative AI Literacy Assessment Test

Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević, Lixiang Yan. (11/2024). arXiv. https://arxiv.org/pdf/2411.00283
Generative AI Usage and Exam Performance

Janik Ole Wecks, Johannes Voshaar, Benedikt J. Plate, Jochen Zimmermann. (11/2024). arXiv. https://arxiv.org/pdf/2404.19699
The Neglected 15%: Positive Effects Of Hybrid Human-Ai Tutoring Among Students With Disabilities

Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (07/2024). Artificial Intelligence in Education: 25th International Conference, AIED 2024. https://dl.acm.org/doi/abs/10.1007/978-3-031-64302-6_29
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation

Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee Branstetter, Emma Brunskill, Kenneth R. Koedinger. (03/2024). Association for Computing Machinery. https://dl.acm.org/doi/pdf/10.1145/3636555.3636896
What Explains Teachers' Trust of AI in Education across Six Countries?

Olga Viberg, Mutlu Cukurova, Yael Feldman-Maggor, Giora Alexandron, Shizuka Shirai, Susumu Kanemune, Barbara Wasson, Cathrine Tomte, Daniel Spikol, Marcelo Milrad, Raquel Coelho, Rene F. Kizilcec. (02/2024). arXiv. https://arxiv.org/pdf/2312.01627
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems

Irene Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil. (11/2023). arXiv. http://arxiv.org/pdf/2311.04926v1
The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts

Dorottya Demszky, Heather Hill. (10/2023). arXiv. https://arxiv.org/pdf/2211.11772