Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 61 - 90 of 580
Evolutionary Reinforcement Learning Based Al Tutor For Socratic Interdisciplinary Instruction
Mei Jiang, Haihai Shen, Zhuo Luo, Bingdong Li, Wenjing Hong, Ke Tang, Aimin Zhou. (12/2025). arXiv. https://arxiv.org/pdf/2512.11930v1
Leaftutor: An Ai Agent For Programming Assignment Tutoring
Madison Bochard, Tim Conser, Alyssa Duran, Lazaro Martull, Pu Tian, and Yalong Wu. (12/2025). arXiv. https://arxiv.org/pdf/2601.02375v1
Developing And Evaluating A Large Language Model-Based Automated Feedback System Grounded In Evidence-Centered Design For Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (12/2025). arXiv. https://arxiv.org/pdf/2512.10785v1
Report On The Scoping Workshop On AI In Science Education Research
Marcus Kubsch, Marit Kastaun, Peter Wulff, Nicole Graulich, Moriah Ariely, Alexander Bergmann-Gering, Sebastian Gombert, Bor Gregorcic, Hendrik Härtig, Benedikt Heuckmann, Andrea Horbach, Christina Krist, Gerd Kortemeyer, Ben Münch, Samuel Pazicni, Joshua M. Rosenberg, Sascha Schanze, Gena Sbeglia, Vidar Skogvoll, Christophe Speroni, Christoph Thyssen, Lars-Jochen Thoms, Brandon J. Yik, Xiaoming Zhai. (12/2025). arXiv. https://arxiv.org/abs/2511.14318v3
Flora: An Advanced AI-Powered Engine To Facilitate Hybrid Human-AI Regulated Learning
Xinyu Li, Tongguang Li, Lixiang Yan, Yuheng Li, Linxuan Zhao, Mladen Rakovic, Inge Molenaar, Dragan Gasevic, Yizhou Fan. (12/2025). arXiv. https://arxiv.org/abs/2507.07362v3
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. (12/2025). arXiv. https://arxiv.org/abs/2507.00456v2
Large Language Models For Education And Research: An Empirical And User Survey-Based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin, Yutaka Watanobe, Lu Peng. (12/2025). arXiv. https://arxiv.org/abs/2512.08057v1
Classifying German Language Proficiency Levels Using Large Language Models
Elias-Leander Ahlers, Witold Brunsmann, Malte Schilling. (12/2025). arXiv. https://arxiv.org/abs/2512.06483v1
Systematically Thinking About The Complexity Of Code Structuring Exercises At Introductory Level
Georgiana Haldeman, Peter Ohmann, Paul Denny. (12/2025). arXiv. https://arxiv.org/abs/2512.06178v1
Which Type Of Students Can Llms Act? Investigating Authentic Simulation With Graph-Based Human-Ai Collaborative System
Haoxuan Li, Jifan Yu, Xin Cong, Yang Dang, Daniel Zhang-Li, Lu Mi, Yisi Zhan, Huiqin Liu, Zhiyuan Liu. (12/2025). arXiv. https://arxiv.org/abs/2502.11678v4
On The Role And Impact Of Genai Tools In Software Engineering Education
Qiaolin Qin, Ronnie de Souza Santos, Rodrigo Spinola. (12/2025). arXiv. https://arxiv.org/abs/2512.04256v1
Ezyer: A Simulacrum Of High School With Generative Agent
Jinming Yang, Zimu Ji, Weiqi Luo, Gaoxi Wang, Bin Ma, Yueling Deng. (12/2025). arXiv. https://arxiv.org/abs/2512.02561v1
Towards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv. https://arxiv.org/abs/2407.12687v4
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Ai Tutoring Enhances Student Learning Without Crowding Out Reading Effort
Mira Fischer, Holger A. Rau, Rainer Michael Rilke. (12/2025). IZA Institute of Labor Economics. https://docs.iza.org/dp18338.pdf
Kidspeak: A General Multi-Purpose LLM For Kids' Speech Recognition And Screening
Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen. (12/2025). arXiv. https://arxiv.org/abs/2512.05994v1
Artificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis
Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv. https://arxiv.org/abs/2512.04115v1
Supporting Productivity Skill Development In College Students Through Social Robot Coaching: A Proof-Of-Concept
Himanshi Lalwani, Hanan Salam. (11/2025). arXiv. https://arxiv.org/abs/2512.01105v1
Exploring Student Interactions With Ai-Powered Learning Tools: A Qualitative Study Connecting Interaction Patterns To Educational Learning Theories
Prathamesh Muzumdar, Sumanth Cheemalapati. (11/2025). arXiv. https://arxiv.org/abs/2512.00519v1
Peoat: Personalization-Guided Evolutionary Question Assembly For One-Shot Adaptive Testing
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (11/2025). arXiv. https://arxiv.org/abs/2512.00439v1
Edueval: A Hierarchical Cognitive Benchmark For Evaluating Large Language Models In Chinese Education
Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang. (11/2025). arXiv. https://arxiv.org/abs/2512.00290v1
Feanel: A Benchmark For Fine-Grained Error Analysis In K-12 English Writing
Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen. (11/2025). arXiv. https://arxiv.org/abs/2511.22883v1
Automated Program Repair Of Uncompilable Student Code
Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram. (11/2025). arXiv. https://arxiv.org/abs/2510.06187v2
Rethinking Ai Evaluation Through Teach-Ai: A Human-Centered Benchmark And Toolkit For Evaluating Ai Assistants In Education
Shi Ding, Brian Magerko. (11/2025). arXiv. https://arxiv.org/abs/2512.04107v1
Human Experts' Evaluation Of Generative Ai For Contextualizing Steam Education In The Global South
Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai. (11/2025). arXiv. https://arxiv.org/abs/2511.19482v3
Scaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents
Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv. https://arxiv.org/abs/2511.11772v2
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation
Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications
Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dora Demszky. (11/2025). EdWorkingPapers. https://edworkingpapers.com/ai24-1054
Llms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
