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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 301 - 330 of 777
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Understanding Student Interaction With Ai-Powered Next-Step Hints: Strategies And Challenges
Anastasiia Birillo, Aleksei Rostovskii, Yaroslav Golubev, Hieke Keuning. (11/2025). arXiv. https://arxiv.org/abs/2511.06362v1
Simulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv. https://arxiv.org/abs/2511.06078v1
Eduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.11635v1
The Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.05903v1
Artificial Intelligence In Elementary Stem Education: A Systematic Review Of Current Applications And Future Challenges
Majid Memari, Krista Ruggles. (11/2025). arXiv. https://arxiv.org/abs/2511.00105v2
Examining Student And Ai Generated Personalized Analogies In Introductory Physics
Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (11/2025). arXiv. https://arxiv.org/abs/2511.04290v1
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
Llm Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara. (11/2025). arXiv. https://arxiv.org/abs/2406.17737v2
Scaffolding Metacognition In Programming Education: Understanding Student-Ai Interactions And Design Implications
BOXUAN MA, HUIYONG LI, GEN LI, LI CHEN, CHENG TANG, YINJIE XIE, CHENGHAO GU, ATUSHI SHIMADA, SHIN'ICHI KONOMI. (11/2025). arXiv. https://arxiv.org/abs/2511.04144v1
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.
Max Norris, Kobi Gal and Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.02599v1
Vibe Learning: Education In The Age Of Ai
Marcos Florencio, Francielle Prieto. (11/2025). arXiv. https://arxiv.org/abs/2511.01956v1
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (11/2025). arXiv. https://arxiv.org/abs/2509.21972v2
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Privacy-Preserving Distributed Link Predictions Among Peers In Online Classrooms Using Federated Learning
Anurata Prabha Hridi, Rajeev Sahay, Muntasir Hoq, Zhikai Gao, Seyyedali Hosseinalipour, Collin Lynch, Bita Akram. (10/2025). arXiv. https://arxiv.org/abs/2504.10456v2
Autograder+: A Multi-Faceted Ai Framework For Rich Pedagogical Feedback In Programming Education
Vikrant Sahu, Raghav Borikar, Dr. Gagan Raj Gupta, Nitin Mane. (10/2025). arXiv. https://arxiv.org/abs/2510.26402v1
Aiot-Based Smart Education System: A Dual-Layer Authentication And Context-Aware Tutoring Framework For Learning Environments.
Adithya Neelakantan, Pratik Satpute Prerna Shinde, Tejas Manjunatha Devang. (10/2025). arXiv. https://arxiv.org/abs/2510.26999v1
Building Ai Literacy At Home: How Families Navigate Children'S Self-Directed Learning With Ai
Jingyi Xie, Chuhao Wu, Ge Wang, Rui Yu, He Zhang, Ronald Metoyer, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.24070v1
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Evaluating Ai-Powered Learning Assistants In Engineering Higher Education: Student Engagement, Ethical Challenges, And Policy Implications
Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir. (10/2025). arXiv. https://arxiv.org/abs/2506.05699v2
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Towards Ai Agents For Course Instruction In Higher Education: Early Experiences From The Field
Yogesh Simmhan, Varad Kulkarni. (10/2025). arXiv. http://arxiv.org/abs/2510.20255v1
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification
Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu. (10/2025). arXiv. http://arxiv.org/abs/2406.00954v2
Ai-Driven Personalized Learning: Predicting Academic Performance Through Leadership Personality Traits
Nitsa J Herzog, Rejwan Bin Sulaiman, David J Herzog, Rose Fong. (10/2025). arXiv. http://arxiv.org/abs/2510.19964v1
Integration of AI in STEM Education, Addressing Ethical Challenges in K-12 Settings
Shaouna Shoaib Lodhi, Shoaib Lodhi. (10/2025). arXiv. http://arxiv.org/abs/2510.19196v1
Integrating Large Language Models And Evaluating Student Outcomes In An Introductory Computer Science Course
Annapurna Vadaparty, David H. Smith IV, Samvrit Srinath, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Daniel Zingaro, Leo Porter. (10/2025). arXiv. http://arxiv.org/abs/2510.18806v1
A Survey On Feedback Types In Automated Programming Assessment Systems
Eduard Frankford, Tobias Antensteiner, Michael Vierhauser, Clemens Sauerwein, Vivien Wallner, Iris Groher, Reinhold Plösch, Ruth Breu. (10/2025). arXiv. http://arxiv.org/abs/2510.18923v1
Relief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). arXiv. http://arxiv.org/abs/2510.18296v1
Plural Voices, Single Agent: Towards Inclusive Ai In Multi-User Domestic Spaces
JOYDEEP CHANDRA*, SATYAM KUMAR NAVNEET*. (10/2025). arXiv. http://arxiv.org/abs/2510.19008v1
