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Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 647
Implementing Genai-Supported Learning In Software Engineering And Computer Science Education Using Bloom'S Taxonomy
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Leyla Memmedova, Huseyn Mirzayev. (06/2026). arXiv. https://arxiv.org/abs/2606.27398v1
The Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences
Lei Fan, Fangxue Liu. (06/2026). arXiv. https://arxiv.org/abs/2606.24104v1
Students' Perception Accuracy Of Partners' AI Use And Its Relation To Collaboration Performance
Laura Graf, Ramona Beinstingel, Stephan Krusche, Oleksandra Poquet. (06/2026). arXiv. https://arxiv.org/abs/2606.23237v1
Analyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv. https://arxiv.org/abs/2606.22735v1
AI-Assisted Help-Seeking Trajectories In Programming Education From An Srl-Informed Perspective
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (06/2026). arXiv. https://arxiv.org/abs/2606.22809v1
Supporting Tutors In The Gig Economy With Automated Feedback: A Case Study On Ringle
Yeon Su Park, Sieun Kim, Keighley Overbay, Seoyoung Kim, Sewook Wee, Daho Jung and Juho Kim. (06/2026). arXiv. https://arxiv.org/abs/2606.22609v1
The Creative Link Between Words and Ideas is Weakening in the AI Era
Kibum Moon, Kostadin Kushlev, Andrew Bank, Benjamin Lira, Indre Viskontas, James C. Kaufman, Dan R. Johnson, Angela L. Duckworth, Adam E. Green. (06/2026). PsyArXIV. https://osf.io/preprints/psyarxiv/jsz58_v6
LLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv. https://arxiv.org/abs/2606.17507v1
Engagement Intensity As A Learner-Modeling Signal For Adaptive AI Ethics Instruction
Yongkyung Oh, Lynn Talton, Alex Bui. (06/2026). arXiv. https://arxiv.org/abs/2606.18548v1
Beyond Models: Reflections On Engineering AI-Enabled Systems In A Project-Based Course
Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, and Rainer Koschke. (06/2026). arXiv. https://arxiv.org/abs/2606.16842v1
Rethinking Scaffolding In LLM Tutors: The Interactional Mismatch Between Benchmarks And Real-World Deployments
Alexandra Neagu, Jeffrey T. H. Wong, Marcus Messer, Rhodri Nelson, Peter B. Johnson. (06/2026). arXiv. https://arxiv.org/abs/2606.15766v1
Exploring How Agent Voice Accents Shape Human-AI Collaboration In K-12 Group Learning
Prerna Ravi, Carúmey Stevens, Ben Hurt, Brandon Hanks, Grace Lin, and Emma Anderson. (06/2026). arXiv. https://arxiv.org/abs/2606.12805v1
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators
Griffin Pitts, Neha Rani, Weedguet Mildort. (06/2026). arXiv. https://arxiv.org/abs/2604.01114v3
How Software Engineering Students Use LLMs To Write Research Papers: An Experience Report
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalh√£es, and Italo Santos. (06/2026). arXiv. https://arxiv.org/abs/2606.05114v2
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
From Explanation To Diagnosis: Next Generation Interactive Video Coach With Misstep Awareness
Xiao Jin, Rahul K. Dass, and Ashok K. Goel. (06/2026). arXiv. https://arxiv.org/abs/2606.02970v1
Characterization And Effects Of Cs2 Learning With Genai, Visualization, And Human Support
Quinton Yong, Anthony Estey, Miguel Nacenta. (06/2026). arXiv. https://arxiv.org/abs/2606.02933v1
Validating AI-Generated Classroom Observations: Reliability, Accuracy, And Limits Of LLM-Based Pedagogical Judgment
Carolina Melo, Javiera de la Maza, Matías Recabarren. (06/2026). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X26000743
Advanced Mathematics Learning Behavior Prediction And Academic Early Warning Model Based On Multimodal Data Analysis
Liu Qiong, Li Zhengbo. (05/2026). arXiv. https://arxiv.org/abs/2606.01224v1
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
A Theory-Guided LLM Pedagogical Agent For STEM+C Scaffolding Without Over-Reliance
Clayton Cohn, Surya Rayala, Siyuan Guo, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Ryan Li, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Ashwin T S, Meiyi Ma, Gautam Biswas. (05/2026). arXiv. https://arxiv.org/abs/2605.30539v1
Double-Edged Sword Or Sharp Tool? Designing And Evaluating Triadic LLM-Teacher Collaboration For K-12 Writing At Scale
Canran WANG, Yuwen Yang, Zhen Wang, Ming MA, Chentai Wang, Ding Yu, Keman Huang, Xiaoyong Du. (05/2026). arXiv. https://arxiv.org/abs/2605.30200v1
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence
David Gibson, M. Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Access Timing As Scaffolding: A Reinforcement Learning Approach To Genai In Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hern√°ndez-Leo. (05/2026). arXiv. https://arxiv.org/abs/2605.15850v2
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study
Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv. https://arxiv.org/abs/2605.09393v3
Facet: Multi-Agent AI Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (05/2026). arXiv. https://arxiv.org/abs/2601.22788v4
A Taxonomy Of Metacognitive Learning Scenarios In Professional Contexts: Integrating Systems Theory With Empirical Constraints
David C Gibson, Mary Elizabeth Azukas, Meryem Yilmaz Soylu. (05/2026). arXiv. https://arxiv.org/abs/2605.24142v1
Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (05/2026). arXiv. https://arxiv.org/abs/2603.20088v2
