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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 301 - 330 of 741
Nlp Methods May Actually Be Better Than Professors At Estimating Question Difficulty
Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim and Hedderik van Rijn. (11/2025). arXiv. https://arxiv.org/abs/2508.03294v2
Small Models, Big Support: A Local Llm Framework For Educator-Centric Content Creation And Assessment With Rag And Cag
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (11/2025). arXiv. https://arxiv.org/abs/2506.05925v2
Educators On The Frontline: Philosophical And Realistic Perspectives On Integrating Chatgpt Into The Learning Space
Surajit Das, Peu Majumder, Aleksei Eliseev. (11/2025). arXiv. https://arxiv.org/abs/2511.11960v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education
Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
How Physics Professors Use And Frame Generative Ai Tools
Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
Owlgorithm: Supporting Self-Regulated Learning In Competitive Programming Through Llm-Driven Reflection
Juliana Nieto-Cardenas, Erin Joy Kramer, Peter Kurto, Ethan Dickey, Andres Bejarano. (11/2025). arXiv. https://arxiv.org/abs/2511.09969v1
Understanding Human-Ai Trust In Education
Griffin Pitts, Sanaz Motamedi. (11/2025). arXiv. https://arxiv.org/abs/2506.09160v4
Diagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv. https://arxiv.org/abs/2511.08283v1
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
Assisting The Grading Of A Handwritten General Chemistry Exam With Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer. (11/2025). arXiv. https://arxiv.org/abs/2509.10591v2
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
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
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
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
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
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
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
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
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
"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
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
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
