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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 91 - 120 of 676
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
Consistently Simulating Human Personas With Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques. (10/2025). arXiv. https://arxiv.org/abs/2511.00222v1
Transforming Higher Education With Ai-Powered Video Lectures
Dengsheng Zhang. (10/2025). arXiv. https://arxiv.org/abs/2511.20660v1
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
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
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
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
Education Paradigm Shift To Maintain Human Competitive Advantage Over Ai
Stanislav Selitskiy, Chihiro Inoue. (10/2025). arXiv. https://arxiv.org/abs/2510.23436v1
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
Creating A Customisable Socratic Ai Physics Tutor
Eugenio Tufino, Bor Gregorcic. (10/2025). arXiv. https://arxiv.org/abs/2507.05795v2
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
Evaluating Nlp Embedding Models For Handling Science-Specific Symbolic Expressions In Student Texts
Tom Bleckmann, Paul Tschisgale. (10/2025). arXiv. http://arxiv.org/abs/2505.17950v2
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
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
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
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
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
A Justice Lens On Fairness And Ethics Courses In Computing Education: Llm-Assisted Multi-Perspective And Thematic Evaluation
Kenya S. Andrews, Deborah Dormah Kanubala, Kehinde Aruleba, Francisco Enrique Vicente Castro, Renata A Revelo. (10/2025). arXiv. http://arxiv.org/abs/2510.18931v1
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
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
Llmbridge: Reducing Costs To Access Llms In A Prompt-Centric Internet
Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar. (10/2025). arXiv. http://arxiv.org/abs/2410.11857v3
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
Rubiscot: A Framework For Ai-Supported Academic Assessment
Thorsten Fröhlich, Tim Schlippe. (10/2025). arXiv. http://arxiv.org/abs/2510.17309v1
Interpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv. http://arxiv.org/abs/2510.17910v1
Domain-Contextualized Concept Graphs: A Computable Framework For Knowledge Representation
Chao Li, Yuru Wang. (10/2025). arXiv. http://arxiv.org/abs/2510.16802v1
Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems In Math Competitions
Jialiang Sun, Yuzhi Tang, Ao Li, Chris J. Maddison, Kuldeep S. Meel. (10/2025). arXiv. http://arxiv.org/abs/2505.18492v4
