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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 541 - 570 of 822
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
Zhuoxuan Jiang, Tianyang Zhang, Peiyan Peng, Jing Chen, Yinong Xun, Haotian Zhang, Lichi Li, Yong Li, Shaohua Zhang. (06/2025). arXiv. http://arxiv.org/pdf/2506.02565v1
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.03032v1
A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
Sapolnach Prompiengchai, Charith Narreddy, Steve Joordens. (06/2025). arXiv. http://arxiv.org/pdf/2505.23405v2
Evaluating Gemini in an Arena for Learning
LearnLM Team, Google. (05/2025). arXiv. http://arxiv.org/pdf/2505.24477v1
A Human-Centric Approach to Explainable AI for Personalized Education
Vinitra Swamy. (05/2025). arXiv. http://arxiv.org/pdf/2505.22541v1
Learn Like Feynman: Developing and Testing an AI-Driven Feynman Bot
Akshaya Rajesh, Sumbul Khan. (05/2025). arXiv. http://arxiv.org/pdf/2506.09055v1
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu and Zhenya Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.20642v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v2
LMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
Yu He, Zihan Yao, Chentao Song, Tianyu Qi, Jun Liu, Ming Li, Qing Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.21239v1
Integrating emotional intelligence, memory architecture, and gestures to achieve empathetic humanoid robot interaction in an educational setting
Fuze Sun, Lingyu Li, Shixiangyue Meng, Xiaoming Teng, Terry Payne, Paul Craig. (05/2025). arXiv. http://arxiv.org/pdf/2505.19803v1
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal. (05/2025). arXiv. http://arxiv.org/pdf/2505.19173v1
From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
Mart¬ín De Simone, Federico Tiberti, Maria Barron Rodriguez, Federico Manolio, Wuraola Mosuro, Eliot Jolomi Dikoru. (05/2025). arXiv. https://documents.worldbank.org/en/publication/documents-reports/documentdetail…
A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education
Angélique Létourneau, Marion Deslandes Martineau, Patrick Charland, John Alexander Karran, Jared Boasen, Pierre Majorique L√©ger. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00320-7
A qualitative systematic review on Al empowered self-regulated learning in higher education
Min Lan, Xiaofeng Zhou. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00319-0
Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset
Fidaa khandaqji, Huthaifa I. Ashqar, Abdelrahem Atawnih. (05/2025). arXiv. http://arxiv.org/pdf/2505.17055v1
Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, Tamara Sumner, James Martin. (05/2025). arXiv. http://arxiv.org/pdf/2505.07161v1
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui. (05/2025). arXiv. http://arxiv.org/pdf/2505.07247v2
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections
Eason Chen, Xinyi Tang, Aprille Xi, Chenyu Lin, Conrad Borchers, Jionghao Lin, Shivang Gupta, Kenneth R Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.07736v2
LECTOR: Summarizing E-book Reading Content for Personalized Student Support
Erwin L—pez, Cheng Tang, Valdemar Sv‡bensky, Fumiya Okubo, Atsushi Shimada. (05/2025). arXiv. http://arxiv.org/pdf/2505.07898v1
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
Mohamed Abdelmagied, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash. (05/2025). arXiv. http://arxiv.org/pdf/2505.10074v2
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Xinzhe Zheng. (05/2025). arXiv. http://arxiv.org/pdf/2505.11119v1
A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti, Martina Galletti. (05/2025). arXiv. http://arxiv.org/pdf/2505.15466v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v1
SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions
Chloe Qianhui Zhao, Jie Cao, Eason Chen, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04584v1
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (05/2025). arXiv. http://arxiv.org/pdf/2505.17238v1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
Xinyi Lu, Aditya Mahesh, Zejia Shen, Mitchell Dudley, Larissa Sano, Xu Wang. (05/2025). arXiv. http://arxiv.org/pdf/2505.15596v1
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Yumou Wei, Paulo Carvalho, John Stamper. (05/2025). arXiv. http://arxiv.org/pdf/2505.06469v1
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying Jui Tseng, John Stamper, Ken Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.08083v1
From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04869v1
