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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 822
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses
Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
Heterogeneous Interaction Network Analysis (Hina): A New Learning Analytics Approach For Modelling, Analyzing, And Visualizing Complex Interactions In Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic, Alec Kirkley. (04/2026). arXiv. https://arxiv.org/abs/2601.06771v2
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (04/2026). arXiv. https://arxiv.org/abs/2505.17238v3
Enhancing School Students’ Self-Regulated Learning through Generative AI Support: A Randomized Controlled Trial
Tim Fütterer, Lisa Bardach, Jochen Kuhn, Stefan Daniel Keller, Peter Gerjets. (04/2026). Educational Physcology Review. https://link.springer.com/article/10.1007/s10648-026-10133-8
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
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
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
Artificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of AI In Education
Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (04/2026). arXiv. https://arxiv.org/abs/2512.23834v2
Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (04/2026). arXiv. https://arxiv.org/abs/2512.10785v2
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
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
Amplifying Rural Educators' Perspectives: A Qualitative Study On The Impacts Of Generative AI In Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra Diaz, Joseph B. Wiggins, Ed Finn, Mahsan Nourani. (04/2026). arXiv. https://arxiv.org/abs/2604.03542v1
Tailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv. https://arxiv.org/abs/2603.28370v2
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
Evaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2506.04822v3
Practitioner Voices Summit: How Teachers Evaluate AI Tools Through Deliberative Sensemaking
Dorottya Demszky, Christopher Mah, Helen Higgins. (03/2026). arXiv. https://arxiv.org/abs/2603.22588v3
Evaluating A Data-Driven Redesign Process For Intelligent Tutoring Systems
Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, and Vincent Aleven. (03/2026). arXiv. https://arxiv.org/abs/2603.29094v1
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
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
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
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
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
An Experimental Evaluation Of An AI-Powered Interactive Learning Platform
Courtney Heldreth, Diana Akrong, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Lidan Hackmon, Lior Belinsky, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert. (03/2026). arXiv. https://arxiv.org/abs/2509.18664v2
To Use Or Not To Use: Investigating Student Perceptions Of Faculty Generative AI Usage In Higher Education
Jie Gao, Jiayi Zhang, Dan Chen. (03/2026). arXiv. https://arxiv.org/abs/2603.25932v1
Exploring The Integration Of Extended Reality And Artificial Intelligence (AI) For Remote STEM Education And Assessment
Shadeeb Hossain, Neda Adib, Natalie Sommer. (03/2026). arXiv. https://arxiv.org/abs/2509.03812v2
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
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
