Breadcrumb
- Home
- AI Hub For Education
- Research Study Repository
- Efficiency
Efficiency
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 685
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
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
Stan: An Llm-Based Thermodynamics Course Assistant
Eric M. Furst, Vasudevan Venkateshwaran. (03/2026). arXiv. https://arxiv.org/pdf/2603.04657v1
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
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
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
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
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
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
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (03/2026). arXiv. https://arxiv.org/pdf/2602.12873v3
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
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
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
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
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
Irresponsible Counselors: Large Language Models And The Loneliness Of Modern Humans
Abas Bertina, Sara Shakeri. (02/2026). arXiv. https://arxiv.org/pdf/2602.21653v1
AI Combines, Humans Socialise: A Seci-Based Experience Report On Business Simulation Games
Nordine Benkeltoum. (02/2026). arXiv. https://arxiv.org/pdf/2602.20633v1
Transforming Science Learning Materials In The Era Of Artificial Intelligence
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18470v2
Protecting And Promoting Human Agency In Education In The Age Of Artificial Intelligence
Olga Viberg, Mutlu Cukurova, Rene F. Kizilcec, Simon Buckingham Shum, Dorottya Demszky, Dragan Gasevic, Thorben Jansen, Ioana Jivet, Jelena Jovanovic, Jennifer Meyer, Kou Murayama, Zach Pardos, Chris Piech, Nikol Rummel, Naomi E. Winstone. (02/2026). arXiv. https://arxiv.org/pdf/2602.20014v1
Identifying, Explaining, And Correcting Ableist Language With AI
Kynnedy Simone Smith, Lydia B Chilton, Danielle Bragg. (02/2026). arXiv. https://arxiv.org/pdf/2602.19560v1
Pedaco-Gen: Scaffolding Pedagogical Agency In Human-AI Collaborative Video Authoring
Injun Baek, Yearim Kim, Nojun Kwak. (02/2026). arXiv. https://arxiv.org/pdf/2602.19623v1
Aitutor-Evalkit: Exploring The Capabilities Of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (02/2026). arXiv. https://arxiv.org/pdf/2512.03688v2
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
Reflections On The Future Of Statistics Education In A Technological Era
Craig Alexander, Jennifer Gaskell, Vinny Davies. (02/2026). arXiv. https://arxiv.org/pdf/2602.18242v1
Aurora: Neuro-Symbolic AI Driven Advising Agent
Lorena Amanda Quincoso Lugones, Christopher Kverne, Nityam Sharadkumar Bhimani, Ana Carolina Oliveira, Agoritsa Polyzou, Christine Lisetti, Janki Bhimani. (02/2026). arXiv. https://arxiv.org/pdf/2602.17999v1
How Should Al Knowledge Be Governed? Epistemic Authority, Structural Transparency, And The Case For Open Cognitive Graphs
Chao Li, Chunyi Zhao, Yuru Wang, Yi Hu. (02/2026). arXiv. https://arxiv.org/pdf/2602.16949v2
Open Datasets In Learning Analytics: Trends, Challenges, And Best Practice
Valdemar Svábensky, Brendan Flanagan, Erwin Daniel Lopez Zapata, Atsushi Shimada. (02/2026). arXiv. https://arxiv.org/pdf/2602.17314v1

