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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 211 - 240 of 898
Practicing With Language Models Cultivates Human Empathic Communication
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Survey Of Computerized Adaptive Testing: A Machine Learning Perspective
Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen. (03/2026). arXiv. https://arxiv.org/abs/2404.00712v4
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
Auditing Student-Ai Collaboration: A Case Study Of Online Graduate CS Students
Nifu Dan. (03/2026). arXiv. https://arxiv.org/abs/2601.08697v4
Scalable Classification Of Course Information Sheets Using Large Language Models: A Reusable Institutional Method For Academic Quality Assurance
Brecht Verbeken, Joke Van den Broeck, Inge De Cleyn, Steven Van Luchene, Nadine Engels, Andres Algaba, Vincent Ginis. (03/2026). arXiv. https://arxiv.org/abs/2603.13562v1
The Future Of Feedback: How Can AI Help Transform Feedback To Be More Engaging, Effective, And Scalable?
Jennifer Meyer, Olaf Kuller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, Rene F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Punjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi Winstone. (03/2026). arXiv. https://arxiv.org/abs/2603.12463v1
AI Chatbots Or Human Therapists? Belief-Based Predictors Of Mental Health Help-Seeking Intentions In The Age Of Generative AI
Junsang Park, Sarah A. Brown, David L. Vogel, Nan Zhao, and Sharon Lynn Chu. (03/2026). arXiv. https://arxiv.org/abs/2512.03406v2
Shiksha Copilot: Teacher-AI Collaboration For Curating And Customizing Lesson Plans In Low-Resource Schools
Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia, Nirmit Arora, Rahul Singh, Rene F. Kizilcec, Akshay Nambi, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2507.00456v3
Trace: AI-Assisted Assessment Of Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (03/2026). arXiv. https://arxiv.org/abs/2510.03998v3
Designing Culturally Aligned AI Systems For Social Good In Non-Western Contexts
Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2509.16158v3
How Undergraduate Physics Students Use Generative AI For Computational Modeling
Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl. (03/2026). arXiv. https://arxiv.org/abs/2603.06342v2
Superskillsstack: Agency, Domain Knowledge, Imagination, And Taste In Human-AI Design Education
Qian Huang, King Wang Poon. (03/2026). arXiv. https://arxiv.org/abs/2603.07016v1
Data-Driven Hints In Intelligent Tutoring Systems
Sutapa Dey Tithi, Kimia Fazeli, Dmitri Droujkov, Tahreem Yasir, Xiaoyi Tian, Tiffany Barnes. (03/2026). arXiv. https://arxiv.org/abs/2603.07311v1
Bridging Moocs, Smart Teaching, And AI: A Decade Of Evolution Toward A Unified Pedagogy
Bo Yuan, Jiazi Hu. (03/2026). arXiv. https://arxiv.org/abs/2507.14266v2
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
Stem Faculty Perspectives On Generative AI In Higher Education
Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun. (03/2026). arXiv. https://arxiv.org/pdf/2603.04001v1
Chatbot Conversations In Physics Education: Using Artificial Intelligence To Analyze Student Reasoning Through Computational Grounded Theory
Atharva Dange, Ramon E. Lopez. (03/2026). arXiv. https://arxiv.org/pdf/2603.04616v1
Bridging Pedagogy And Play: Introducing A Language Mapping Interface For Human-AI Co-Creation In Educational Game Design
Daijin Yang, Erica Kleinman, Casper Harteveld. (03/2026). arXiv. https://arxiv.org/pdf/2603.03644v1
Stan: An Llm-Based Thermodynamics Course Assistant
Eric M. Furst, Vasudevan Venkateshwaran. (03/2026). arXiv. https://arxiv.org/pdf/2603.04657v1
Conversational Learning Diagnosis Via Reasoning Multi-Turn Interactive Learning
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu. (03/2026). arXiv. https://arxiv.org/pdf/2603.03236v1
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms
Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv. https://arxiv.org/pdf/2603.02830v1
Baseline Performance Of AI Tools In Classifying Cognitive Demand Of Mathematical Tasks
Danielle S. Fox, Brenda L. Robles, Elizabeth DiPietro Brovey, Christian D. Schunn. (03/2026). arXiv. https://arxiv.org/pdf/2603.03512v1
Demonstrating Vividoc: Generating Interactive Documents Through Human-Agent Collaboration
Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Wei Chen. (03/2026). arXiv. https://arxiv.org/pdf/2603.01912v1
Vizqstudio: Iterative Visualization Literacy Mcqs Design With Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song, Yanna Lin, Xian Xu, Huamin Qu, Meng Xia. (03/2026). arXiv. https://arxiv.org/pdf/2603.00994v1
Confusion-Aware Rubric Optimization For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00451v1
Optimizing In-Context Demonstrations For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik, and Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00465v1
Machine Learning Grade Prediction Using Students' Grades And Demographics
Mwayi SONKHANANI, Symon CHIBAYA, Clement N. NYIRENDA. (02/2026). arXiv. https://arxiv.org/pdf/2603.00608v1
Bridge The Gap: Mitigating Bias Amplification In Automated Scoring Of English Language Learners Via Inter-Group Data Augmentation
Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, and Ninghao Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.23580v1
Designing AI Tutors For Interest-Based Learning: Insights From Human Instructors
Abhishek Kulkarni, Sharon Lynn Chu. (02/2026). arXiv. https://arxiv.org/pdf/2602.24036v1
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
