Post-Secondary
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 911
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2604.13534v1
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators
Griffin Pitts, Neha Rani, Weedguet Mildort. (04/2026). arXiv. https://arxiv.org/abs/2604.01114v2
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Comprehension Debt In Genai-Assisted Software Engineering Projects
Muhammad Ovais Ahmad. (04/2026). arXiv. https://arxiv.org/abs/2604.13277v1
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv. https://arxiv.org/abs/2604.07469v2
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (04/2026). arXiv. https://arxiv.org/abs/2604.12253v1
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
Enabling And Inhibitory Pathways Of Students' AI Use Concealment Intention In Higher Education: Evidence From Sem And Fsqca
Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10978v1
AI-Supported Data Analysis Boosts Student Motivation And Reduces Stress In Physics Education
Jannik Henze, Julia Lademann, Sebastian Becker-Genschow and Andre Bresges. (04/2026). arXiv. https://arxiv.org/abs/2412.20951v2
Examining Eap Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective
Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10991v1
Tracing Prompt-Level Trajectories To Understand Student Learning With AI In Programming Education
Tianyu Shao, Miguel Feijoo-Garcia, Yi Zhang, Hugo Castellanos, Tawfiq Salem, Alejandra Magana, Tianyi Li. (04/2026). arXiv. https://arxiv.org/abs/2604.10400v1
Perceived Importance Of Cognitive Skills Among Computing Students In The Era Of AI
Neha Rani, Erta Cenko, and Laura Melissa Cruz Castro. (04/2026). arXiv. https://arxiv.org/abs/2604.10730v1
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv. https://arxiv.org/abs/2603.03339v5
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Agora: Teaching The Skill Of Consensus-Finding With AI Personas Grounded In Human Voice
Prerna Ravi, Om Gokhale, Suyash Pradeep Fulay, Eugene Yi, Deb Roy, Michiel Bakker. (04/2026). arXiv. https://arxiv.org/abs/2603.07339v3
Opencoderrank: Personalized Technical Assessments With Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao. (04/2026). arXiv. https://arxiv.org/abs/2509.06774v2
Grow: A Conversational AI Coach For Goals, Reflection, Optimism, And Well-Being
Keya Shah, Himanshi Lalwani, Hanan Salam. (04/2026). arXiv. https://arxiv.org/abs/2604.04548v1
Pedagogical Safety In Educational Reinforcement Learning: Formalizing And Detecting Reward Hacking In AI Tutoring Systems
Oluseyi Olukola, Nick Rahimi. (04/2026). arXiv. https://arxiv.org/abs/2604.04237v1
Sandpiper: Orchestrated AI-Annotation For Educational Discourse At Scale
Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Joshua Marland, Rachel Slama, Justin Reich, Kenneth Koedinger, Rene Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2603.08406v2
Beyond The AI Tutor: Social Learning With LLM Agents
Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv. https://arxiv.org/abs/2604.02677v1
Same Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education
Caitlin Morris, Pattie Maes. (04/2026). arXiv. https://arxiv.org/abs/2604.03075v1
Impact Of Multimodal And Conversational AI On Learning Outcomes And Experience
Karan Taneja, Anjali Singh, and Ashok K. Goel. (04/2026). arXiv. https://arxiv.org/abs/2604.02221v1
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova. (04/2026). arXiv. https://arxiv.org/abs/2511.08225v2
Rethinking AI Literacy Education In Higher Education: Bridging Risk Perception And Responsible Adoption
Shasha Yu, Fiona Carroll, Barry L. Bentley. (03/2026). arXiv. https://arxiv.org/abs/2603.29935v1
Evaluating LLMs For Answering Student Questions In Introductory Programming Courses
Thomas Van Mullem, Bart Mesuere, Peter Dawyndt. (03/2026). arXiv. https://arxiv.org/abs/2603.28295v1
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
Understanding Teacher Revisions Of Large Language Model-Generated Feedback
Conrad Borchers, Luiz Rodrigues, Newarney Torrezao da Costa, Cleon Xavier, Rafael Ferreira Mello. (03/2026). arXiv. https://arxiv.org/abs/2603.27806v1
Exploring Student Perception On Gen AI Adoption In Higher Education: A Descriptive Study
Harpreet Singh, Jaspreet Singh, Satwant Singh, Rupinder Singh, Shamim Ibne Shahid, Mohammad Hassan Tayarani Najaran. (03/2026). arXiv. https://arxiv.org/abs/2603.27777v1
Compounding Disadvantage: Auditing Intersectional Bias In LLM-Generated Explanations Across Indian And American STEM Education
Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (03/2026). arXiv. https://arxiv.org/abs/2601.14506v2
Learning To Program Alongside AI: Critical Thinking, AI Ethics, And Gendered Patterns Of German Secondary School Students
Isabella Graßl. (03/2026). arXiv. https://arxiv.org/abs/2603.24197v2
