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Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 361 - 390 of 783
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
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
A Multi-Agent Psychological Simulation System For Human Behavior Modeling
Xiangen Hu, Jiarui Tong, Sheng Xu. (11/2025). arXiv. https://arxiv.org/abs/2511.02606v1
Exploring Student-Ai Interactions In Vibe Coding
Francis Geng, Anshul Shah, Haolin Li, Nawab Mulla, Steven Swanson, Gerald Soosai Raj, Daniel Zingaro, Leo Porter. (11/2025). arXiv. https://arxiv.org/abs/2507.22614v2
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
Vibe Learning: Education In The Age Of Ai
Marcos Florencio, Francielle Prieto. (11/2025). arXiv. https://arxiv.org/abs/2511.01956v1
Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates. (11/2025). Computers & Education. https://www.sciencedirect.com/science/article/pii/S0360131525002829
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
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
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
Education Paradigm Shift To Maintain Human Competitive Advantage Over Ai
Stanislav Selitskiy, Chihiro Inoue. (10/2025). arXiv. https://arxiv.org/abs/2510.23436v1
"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
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
Ai & Data Competencies: Scaffolding Holistic Ai Literacy In Higher Education
Kathleen Kennedy & Anuj Gupta. (10/2025). arXiv. https://arxiv.org/abs/2510.24783v1
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
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
Directive, Metacognitive Or A Blend Of Both? A Comparison Of Ai-Generated Feedback Types On Student Engagement, Confidence, And Outcomes
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Omid Noroozi, Dragan Gasevic, Marie Boden, Hassan Khosravi. (10/2025). arXiv. http://arxiv.org/abs/2510.19685v1
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
Mapping The Ai Divide In Undergraduate Education: Community Detection In Disciplinary Networks And Survey Evidence
Liwen Zhang, Wei Si, Ke-ke Shang, Jiangli Zhu, Xiaomin Ji. (10/2025). arXiv. http://arxiv.org/abs/2510.19288v1
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
Designing Knowledge Tools: How Students Transition From Using To Creating Generative Ai In Steam Classroom
Qian Huang, Nachamma Sockalingam, Thijs Willems, King Wang Poon. (10/2025). arXiv. http://arxiv.org/abs/2510.19405v1
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
Sketchmind: A Multi-Agent Cognitive Framework For Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai. (10/2025). arXiv. http://arxiv.org/abs/2507.22904v2
Integrating Generative Al Into Lms: Reshaping Learning And Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler. (10/2025). arXiv. http://arxiv.org/abs/2510.18026v1
Rubiscot: A Framework For Ai-Supported Academic Assessment
Thorsten Fröhlich, Tim Schlippe. (10/2025). arXiv. http://arxiv.org/abs/2510.17309v1
