Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 661
Designing And Evaluating An AI-Enhanced Immersive Multidisciplinary Simulation (Aims) For Interprofessional Education
Ruijie Wang, Jie Lu, Bo Pei, Evonne Jones, James Brinson, Timothy Brown. (02/2026). arXiv. https://arxiv.org/pdf/2510.08891v2
"Bespoke Bots": Diverse Instructor Needs For Customizing Generative AI Classroom Chatbots
Irene Hou, Philip J. Guo, Zeyu Xiong, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00057v1
From Search To Genai Queries: Global Trends In Physics Information-Seeking Across Topics And Regions
Yossi Ben-Zion, Omer Michaeli, Noah D. Finkelstein. (02/2026). arXiv. https://arxiv.org/pdf/2602.09550v1
Beyond Input-Output: Rethinking Creativity Through Design-By-Analogy In Human-AI Collaboration
Xuechen Li, Shuai Zhang, Nan Cao, Qing Chen. (02/2026). arXiv. https://arxiv.org/pdf/2602.09423v1
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (02/2026). arXiv. https://arxiv.org/pdf/2509.10782v4
Charting The Future Of AI-Supported Science Education: A Human-Centered Vision
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18471v1
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
AI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load
Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Kuchemann. (02/2026). arXiv. https://arxiv.org/pdf/2602.08893v1
Personalized Learning Path Planning Through Goal-Driven Learner State Modeling
Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu. (02/2026). arXiv. https://arxiv.org/pdf/2510.13215v2
Synthetic Media In Multilingual Moocs: Deepfake Tutors, Pedagogical Effects, And Ethical - Policy Challenges
Alexandros Gazis, Erietta Chamalidou, Nikolaos Ntaoulas, Theodoros Vavouras. (02/2026). arXiv. https://arxiv.org/pdf/2602.18457v1
Llm Agents For Education: Advances And Applications
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv. https://arxiv.org/pdf/2503.11733v2
Comparative Insights On Adversarial Machine Learning From Industry And Academia: A User-Study Approach
Vishruti Kakkad, Paul Chung, Hanan Hibshi, Maverick Woo. (02/2026). arXiv. https://arxiv.org/pdf/2602.04753v1
Lessons Learned From Integrating Generative AI Into An Introductory Undergraduate Astronomy Course At Harvard
Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andres A. Plazas Malagon. (02/2026). arXiv. https://arxiv.org/pdf/2602.04389v1
Exploring The Role Of Tracing In AI-Supported Planning For Algorithmic Reasoning
Yoshee Jain, Heejin Do, Zihan Wu, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2602.03197v1
The Psychology Of Learning From Machines: Anthropomorphic Ai And The Paradox Of Automation In Education
Junaid Qadir, Muhammad Mumtaz. (02/2026). arXiv. https://arxiv.org/pdf/2601.06172v2
Are They Just Delegating? Cross-Sample Predictions On University Students' & Teachers' Use Of AI
Fabian Albers, Sebastian Straub, Nikol Rummel, Nils Kobis. (01/2026). arXiv. https://arxiv.org/pdf/2601.21490v1
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
The Compliance Paradox: Semantic-Instruction Decoupling In Automated Academic Code Evaluation
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Vinay Chamola, Murari Mandal, Dhruv Kumar. (01/2026). arXiv. https://arxiv.org/pdf/2601.21360v1
Can We Improve Educational Diagram Generation With In-Context Examples? Not If A Hallucination Spoils The Bunch
Evanfiya Logacheva, Arto Hellas, Tsvetomila Mihaylova, Juha Sorva, Ava Heinonen, Juho Leinonen. (01/2026). arXiv. https://arxiv.org/pdf/2601.20476v1
Learning To Live With Ai: How Students Develop Ai Literacy Through Naturalistic Chatgpt Interaction
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (01/2026). arXiv. https://arxiv.org/pdf/2601.20749v1
A Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2402.01666v2
Guideai: A Real-Time Personalized Learning Solution With Adaptive Interventions
Ananya Shukla, Satvik Bajpai, Chaitanya Modi, Siddharth Siddharth. (01/2026). arXiv. https://arxiv.org/pdf/2601.20402v1
Evaluating Actionability In Explainable Ai
Gennie Mansi, Julia Kim, Mark Riedl. (01/2026). arXiv. https://arxiv.org/pdf/2601.20086v1
Co-Designing Digital Humans For Online Learning: A Framework For Human-Ai Pedagogical Integration
Xiaokang Leil, Ching Christie Pang, Yuyang Jiang, Xin Tong, and Pan Hui. (01/2026). arXiv. https://arxiv.org/pdf/2601.17434v1
Do We Know What They Know We Know? Calibrating Student Trust In Ai And Human Responses Through Mutual Theory Of Mind
Olivia Pal, Veda Duddu, Drishti Goel, Agam Goyal, Koustuv Saha. (01/2026). arXiv. https://arxiv.org/pdf/2601.16960v1
Alignagent: Adaptive Learner Intelligence For Gap Identification And Next-Step Guidance
Bismack Tokoli, Luis Jaimes, Ayesha S. Dina. (01/2026). arXiv. https://arxiv.org/pdf/2601.15551v1
Bridging Qualitative Rubrics And Ai: A Binary Question Framework For Criterion-Referenced Grading In Engineering
Lili Chen, Winn Wing-Yiu Chow, Stella Peng, Bencheng Fan and Sachitha Bandara. (01/2026). arXiv. https://arxiv.org/pdf/2601.15626v1
Llm-Based Multimodal Feedback Produces Equivalent Learning And Better Student Perceptions Than Educator Feedback
Chloe Qianhui Zhao, Jionghao Lin, Jie Cao, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2601.15280v1
It's Not The Plane - It's The Pilot: A Framework for Cognitive-Activated AI-Augmentation to Avoid the Boiling Frog Problem
Jochen Kuhn, Stefan Küchemann, Dave Rakestraw and Patrik Vogt. (01/2026). arXiv. https://arxiv.org/pdf/2601.13812v2
