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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 61 - 90 of 560
Closing The Loop: An Instructor-In-The-Loop Ai Assistance System For Supporting Student Help-Seeking In Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla. (11/2025). arXiv. https://arxiv.org/abs/2510.14457v2
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
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
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
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
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
Comprehension-Performance Gap In Genai-Assisted Brownfield Programming: A Replication And Extension
Yunhan Qiao, Christopher Hundhausen, Summit Haque, Md Istiak Hossain Shihab. (11/2025). arXiv. https://arxiv.org/abs/2511.02922v1
How Teachers Can Use Large Language Models And Bloom'S Taxonomy To Create Educational Quizzes
Sabina Elkins, Ekaterina Kochmar, Jackie C.K. Cheung, Iulian Serban. (11/2025). arXiv. https://arxiv.org/abs/2401.05914v2
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
Evaluating Federated Learning For At-Risk Student Prediction: A Comparative Analysis Of Model Complexity And Data Balancing
Rodrigo Tertulino, Ricardo Almeida. (11/2025). arXiv. https://arxiv.org/abs/2508.18316v2
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
Cognitively-Inspired Episodic Memory Architectures For Accurate And Efficient Character Ai
Rafael Arias Gonzalez and Steve DiPaola. (11/2025). arXiv. https://arxiv.org/abs/2511.10652v1
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
Improving Human Verification Of Llm Reasoning Through Interactive Explanation Interfaces
Runtao Zhou, Anh Totti Nguyen, Giang Nguyen, Nikita Kharya, Chirag Agarwal. (10/2025). arXiv. https://arxiv.org/abs/2510.22922v2
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
Transforming Higher Education With Ai-Powered Video Lectures
Dengsheng Zhang. (10/2025). arXiv. https://arxiv.org/abs/2511.20660v1
A Systematic Literature Review Of The Use Of Genai Assistants For Code Comprehension: Implications For Computing Education Research And Practice
Yunhan Qiao, Md Istiak Hossain Shihab, Christopher Hundhausen. (10/2025). arXiv. https://arxiv.org/abs/2510.17894v2
Efficiency Without Cognitive Change: Evidence From Human Interaction With Narrow Ai Systems
María Angélica Benítez, Rocío Candela Ceballos, Karina Del Valle, Mundo Araujo Sofía, Sofía Evangelina Victorio Villaroel, Nadia Justel. (10/2025). arXiv. https://arxiv.org/abs/2510.24893v1
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
Education Paradigm Shift To Maintain Human Competitive Advantage Over Ai
Stanislav Selitskiy, Chihiro Inoue. (10/2025). arXiv. https://arxiv.org/abs/2510.23436v1
Measuring Teaching With Llms
Michael Hardy. (10/2025). arXiv. https://arxiv.org/abs/2510.22968v1
"Learning Together": Ai-Mediated Support For Parental Involvement In Everyday Learning
Yao Li, Jingyi Xie, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.20123v2
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
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
To Use Or To Refuse? Re-Centering Student Agency With Generative Ai In Engineering Design Education
Thijs Willems, Sumbul Khan, Nachamma Sockalingam, Qian Huang, King Wang Poon, Bradley Camburn. (10/2025). arXiv. http://arxiv.org/abs/2510.19342v1
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
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
