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Post-Secondary
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 241 - 270 of 1108
Visual Or Textual: Effects Of Explanation Format And Personal Characteristics On The Perception Of Explanations In An Educational Recommender System
Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal, Astrid Rosenthal-von der Putten. (03/2026). arXiv. https://arxiv.org/abs/2603.25624v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
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
Reflected: Evaluating Reflection-Driven Learning In An AI-Assisted System
Md Nazmus Sakib, Ishika Tarin, Naga Manogna Rayasam, Manas Gaur, Sanorita Dey. (03/2026). arXiv. https://arxiv.org/abs/2512.24632v2
Design Implications For Student And Educator Needs In AI-Supported Programming Learning Tools
Boxuan Ma, Yinjie Xie, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22673v1
Unpacking Interaction Profiles And Strategies In Human-AI Collaborative Problem Solving: A Cognitive Distribution And Regulation Perspective
Zhanxin Hao, Xiaobo Liu, Jiaxin Fan, Yun Long, Jifan Yu, Wenli Chen, Yu Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.21288v1
Towards An AI Buddy For Every University Student? Exploring Students' Experiences, Attitudes And Motivations Towards AI And AI-Based Study Companions
Judit Martínez Moreno, Markus Christen, Abraham Bernstein. (03/2026). arXiv. https://arxiv.org/abs/2603.20909v1
Beyond Accuracy: Towards A Robust Evaluation Methodology For AI Systems For Language Education
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (03/2026). arXiv. https://arxiv.org/abs/2603.20088v1
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
AI In Work-Based Learning: Understanding The Purposes And Effects Of Intelligent Tools Among Student Interns
John Paul P. Miranda, Rhiziel P. Manalese, Sheila M. Geronimo, Vernon Grace M. Maniago, Charlie K. Padilla, Aileen P. De Leon, Santa L. Merle, Mark Anthony A. Castro. (03/2026). arXiv. https://arxiv.org/abs/2603.28786v1
From School AI Readiness To Student AI Literacy: A National Multilevel Mediation Analysis Of Institutional Capacity And Teacher Capability
Xiu Guana, Mingmin Zhenga, Dragan Gascevic, Wenxin Guo, Yingqun Liua, Xibin Hana, Danijela Gasevic, Ruiling Mad, Qi Wua and Lixiang Yana,b. (03/2026). arXiv. https://arxiv.org/abs/2603.20056v1
Quantifying Student Success With Generative AI: A Monte Carlo Simulation Informed By Systematic Review
Seyma Yaman Kayadibi. (03/2026). arXiv. https://arxiv.org/abs/2507.01062v3
From Slides To Chatbots: Enhancing Large Language Models With University Course Materials
Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues. (03/2026). arXiv. https://arxiv.org/abs/2510.22272v2
Guide: Genai Units In Digital Design Education
Weihua Xiao, Jason Blocklove, Matthew DeLorenzo, Johann Knechtel, Ozgur Sinanoglu, Kanad Basu, Jeyavijayan Rajendran, Siddharth Garg, Ramesh Karri. (03/2026). arXiv. https://arxiv.org/abs/2603.17296v1
Explainability And Certification Of AI-Generated Educational Assessments
Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
Teachingcoach: A Fine-Tuned Scaffolding Chatbot For Instructional Guidance To Instructors
Isabel Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V. Chawla. (03/2026). arXiv. https://arxiv.org/abs/2603.18189v1
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
Criterion-Referenceability Determines LLM-As-A-Judge Validity Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (03/2026). arXiv. https://arxiv.org/abs/2603.14732v1
Survey Of Computerized Adaptive Testing: A Machine Learning Perspective
Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen. (03/2026). arXiv. https://arxiv.org/abs/2404.00712v4
Scalable Classification Of Course Information Sheets Using Large Language Models: A Reusable Institutional Method For Academic Quality Assurance
Brecht Verbeken, Joke Van den Broeck, Inge De Cleyn, Steven Van Luchene, Nadine Engels, Andres Algaba, Vincent Ginis. (03/2026). arXiv. https://arxiv.org/abs/2603.13562v1
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
Auditing Student-Ai Collaboration: A Case Study Of Online Graduate CS Students
Nifu Dan. (03/2026). arXiv. https://arxiv.org/abs/2601.08697v4
Teaching Agile Requirements Engineering: A Stakeholder Simulation With Generative AI
Eva-Maria Schon, Michael Neumann, Tiago Silva da Silva. (03/2026). arXiv. https://arxiv.org/abs/2603.12925v1
The Future Of Feedback: How Can AI Help Transform Feedback To Be More Engaging, Effective, And Scalable?
Jennifer Meyer, Olaf Kuller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, Rene F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Punjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi Winstone. (03/2026). arXiv. https://arxiv.org/abs/2603.12463v1
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, and Sharon Lynn Chu. (03/2026). arXiv. https://arxiv.org/abs/2512.03406v2
Investigating Student Perceptions Of Creativity And Generative AI In Computational Physics
Pachi Her and Patti Hamerski. (03/2026). arXiv. https://arxiv.org/abs/2603.12154v1
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
Heal: Hindsight Entropy-Assisted Learning For Reasoning Distillation
Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian. (03/2026). arXiv. https://arxiv.org/abs/2603.10359v1
Trace: AI-Assisted Assessment Of Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (03/2026). arXiv. https://arxiv.org/abs/2510.03998v3
