Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 31 - 60 of 673
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Facet: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (03/2026). arXiv. https://arxiv.org/abs/2508.11401v4
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai
Dora Zhao, Hannah Cha, Michael J. Ryan, Angelina Wang, Rachel Baker-Ramos, Evyn-Bree Helekahi-Kaiwi, Rebecca Diego, Josiah Hester, Diyi Yang. (03/2026). arXiv. https://arxiv.org/abs/2603.16646v1
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
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
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
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
Ella: Generative AI-Powered Social Robots For Early Language Development At Home
VICTOR NIKHIL ANTONY, SHIYE CAO, SHUNING WANG, CHIEN-MING HUANG. (03/2026). arXiv. https://arxiv.org/abs/2603.12508v1
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
Scaling Laws For Educational AI Agents
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, and Aimin Zhou. (03/2026). arXiv. https://arxiv.org/abs/2603.11709v1
Self-Regulated Personal Contracts As A Harm Reduction Approach To Generative AI In Undergraduate Programming Education
Aadarsh Padiyath, Jessica Shen, Barbara Ericson. (03/2026). arXiv. https://arxiv.org/abs/2604.03256v1
Heal: Hindsight Entropy-Assisted Learning For Reasoning Distillation
Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian. (03/2026). arXiv. https://arxiv.org/abs/2603.10359v1
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
Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
Vedant Bahel, Harshinee Sriram, Cristina Conati. (03/2026). arXiv. https://arxiv.org/abs/2403.04035v3
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
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
Prefdisco: Benchmarking Proactive Personalized Reasoning
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov. (03/2026). arXiv. https://arxiv.org/pdf/2510.00177v2
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
The Genai Generation: Student Views Of Awareness, Preparedness, And Concern
Micaela Siraj, Jon Duke, Thomas Plotz. (03/2026). arXiv. https://arxiv.org/pdf/2505.02230v3
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
Ai4Career: Responsible AI For Stem Career Development At Scale In K-16 Education
Sugana Chawla, Si Chen, Julia Qian, Gina Svarovsky, Alison Cheng, Rick Johnson, Nitesh V. Chawla, Ronald Metoyer. (03/2026). arXiv. https://arxiv.org/pdf/2603.02568v1
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
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics Version 2, 03/26
Anselm Strohmaier, Samira Bodefeld, Oliver Straser, Frank Reinhold. (03/2026). arXiv. https://arxiv.org/pdf/2601.18685v2
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
The Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform
Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER. https://www.nber.org/papers/w34950
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
