Impact – Quasi–experimental
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 68
Teaching AI Interactively: A Case Study In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (03/2026). arXiv. https://arxiv.org/abs/2603.28679v1
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv. https://arxiv.org/abs/2511.14414v3
Evaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv. https://arxiv.org/abs/2603.24940v1
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
Vedant Bahel, Harshinee Sriram, Cristina Conati. (03/2026). arXiv. https://arxiv.org/abs/2403.04035v3
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
The Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform
Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER. https://www.nber.org/papers/w34950
Neurochat: A Neuroadaptive AI Chatbot For Customizing Learning Experiences
Dunya Baradari, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, Pattie Maes. (02/2026). arXiv. https://arxiv.org/pdf/2503.07599v2
Same Feedback, Different Source: How AI Vs. Human Feedback Shapes Learner Engagement
CAITLIN MORRIS, PATTIE MAES. (02/2026). arXiv. https://arxiv.org/pdf/2602.11311v1
AI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load
Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Kuchemann. (02/2026). arXiv. https://arxiv.org/pdf/2602.08893v1
Construction And Educational Application Of A Linguistically Grounded Dependency Treebank For Uyghur
Jiaxin Zuo, Yiquan Wang, Yuan Pan, and Xiadiya Yibulayin. (01/2026). arXiv. https://arxiv.org/pdf/2507.21536v2
Aiplato: A Novel Ai Tutoring And Stepwise Feedback System For Physics Homework
Atharva Dange, Ramon E. Lopez, Nimish Shah, Louis Deslauriers. (01/2026). arXiv. https://arxiv.org/pdf/2601.09965v1
Content Vs. Form: What Drives The Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
Nadav Kunievsky, Pedro Pertusi. (01/2026). arXiv. https://arxiv.org/pdf/2601.03469v1
Ai Knows Best? The Paradox Of Expertise, Ai-Reliance, And Performance In Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo F. Carvalho, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2509.16772v2
From Co-Design To Metacognitive Laziness: Evaluating Generative Ai In Vocational Education
Amir Yunus, Gay Peng Rend, Lee Oon Teng. (12/2025). arXiv. https://arxiv.org/pdf/2512.12306v1
Stabilising Learner Trajectories: A Doubly Robust Evaluation Of Ai-Guided Student Support Using Activity Theory
Teo Susnjak, Khalid Bakhshov, and Anuradha Mathrani. (12/2025). arXiv. https://arxiv.org/pdf/2512.11154v1
Feed-O-Meter: Investigating Ai-Generated Mentee Personas As Interactive Agents For Scaffolding Design Feedback Practice
Hyunseung Lim, Dasom Choi, DaEun Choi, Sooyohn Nam, Hwajung Hong. (12/2025). arXiv. https://arxiv.org/abs/2509.07424
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
Comprehension-Performance Gap In Genai-Assisted Brownfield Programming: A Replication And Extension
Yunhan Qiao, Christopher Hundhausen, Summit Haque, Md Istiak Hossain Shihab. (11/2025). arXiv. https://arxiv.org/abs/2511.02922v1
Transforming Higher Education With Ai-Powered Video Lectures
Dengsheng Zhang. (10/2025). arXiv. https://arxiv.org/abs/2511.20660v1
Socratic Mind: Impact Of A Novel Genai-Powered Assessment Tool On Student Learning And Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon. (10/2025). arXiv. http://arxiv.org/abs/2509.16262v2
Ai-Driven Predictive Models For Optimizing Mathematics Education Technology: Enhancing Decision-Making Through Educational Data Mining And Meta-Analysis
Aneng He, Wenwen Yuan, Lai Soon Lee, Tian Tian. (10/2025). Smart Learning Environments. https://link.springer.com/article/10.1186/s40561-025-00415-z
Help Or Hype? Students' Engagement And Perception Of Using Ai To Solve Physics Problems
Qurat-ul-Ann Mirza, N. Sanjay Rebello. (09/2025). arXiv. http://arxiv.org/abs/2509.25642v1
Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein. (09/2025). arXiv. http://arxiv.org/pdf/2509.22929v1
A Meta-Analysis Of LLM Effects On Students Across Qualification, Socialization, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/pdf/2509.22725v1
Enhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
GOLDMIND: A Teacher-Centered Knowledge Management System For Higher Education AI Lessons From Iterative Design
Gloria Fern‡ndez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Ga_evic, Zachari Swiecki. (08/2025). arXiv. http://arxiv.org/pdf/2508.04377v2
RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
Daniel Tozadore, Nur Ertug, Yasmine Chaker and Mortadha Abderrahim. (08/2025). arXiv. http://arxiv.org/pdf/2508.16706v1
Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
Winter Allen, Anand Shanker, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.14759v1
