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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 777
Cognitive Twins: Investigating Personalized Thinking Model Building And Its Performance Enhancement With Human-In-The-Loop
Wu-Yuin Hwang, Nur Alif Ilyasa, Muhammad Irfan Luthfi, and Yuniar Indrihapsari. (05/2026). arXiv. https://arxiv.org/abs/2605.04761v1
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming
Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
Investigating The Effects Of Different Levels Of User Control In An Interactive Educational Recommender System
QURAT UL AIN, MOHAMED AMINE CHATTI, WILLIAM KANA TSOPLEFACK, RAWAA ALA TRASH, SHOEB JOARDER. (05/2026). arXiv. https://arxiv.org/abs/2605.01400v1
AI Adoption Among Teachers: Insights On Concerns, Support, Confidence, And Attitudes
Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, John Paul Palo Miranda. (05/2026). arXiv. https://arxiv.org/abs/2605.00343v1
Pedagogical Promise And Peril Of AI: A Text Mining Analysis Of ChatGPT Research Discussions In Programming Education
Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao. (05/2026). arXiv. https://arxiv.org/abs/2605.00361v1
Bibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions
Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel Peña Manalese, Aileen Pobre De Leon, Vernon Grace Magat Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27344v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics
Michael J. Parker, María G. Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
From Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests
Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv. https://arxiv.org/abs/2505.17056v2
Human-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics
Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv. https://arxiv.org/abs/2604.26607v1
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv. https://arxiv.org/abs/2604.25806v1
Curiosity And Metacognition: Towards A Unified Framework For Learning And Education In The Age Of AI
Chloé Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Hélène Sauzéon. (04/2026). arXiv. https://arxiv.org/abs/2604.25648v1
Tutor, Not Solver: Designing A Guardrailed AI Assistant For Learning In Higher Education: A Design Case Of Petechat
Belle Li, Lily Tan, Wei Zakharov, Qiang Qiu, Colby Ben Acton. (04/2026). arXiv. https://arxiv.org/abs/2606.09845v1
Your Students Don't Use LLMs Like You Wish They Did
Sebastian Kobler, Matthew Clemson, Angela Sun, Jonathan K. Kummerfeld. (04/2026). arXiv. https://arxiv.org/abs/2604.23486v1
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Arguagent: AI-Supported Real-Time Grouping For Productive Argumentation In STEM Classrooms
Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai. (04/2026). arXiv. https://arxiv.org/abs/2604.23449v1
Teachmaster: Generative Teaching Via Code
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Tianle Zhou, Ruoyu Fu, Huatao Li, Ruijie Shi, Siheng Chen, Weinan E, Chen Qian. (04/2026). arXiv. https://arxiv.org/abs/2601.04204v2
Code For All: Educational Applications Of The Vibe Coding Hackathon In Programming Education Across All Skill Levels
Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique. (04/2026). arXiv. https://arxiv.org/abs/2604.22747v1
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
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
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
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
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
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
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
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
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
