Outcomes – Literacy
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 220
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
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
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
Exploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv. https://arxiv.org/abs/2504.09004v3
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
Exploration Of Summarization By Generative Language Models To Enhance Automated Scoring Of Long Essays
Haowei Hua, Hong Jiao, Xinyi Wang. (11/2025). arXiv. https://arxiv.org/abs/2510.22830v4
Writing With Machines And Peers: Designing For Critical Engagement With Generative Ai
Xinran Zhu, Cong Wang, Duane Searsmith. (11/2025). arXiv. https://arxiv.org/abs/2511.15750v1
A Framework For Developing University Policies On Generative Ai Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (11/2025). arXiv. https://arxiv.org/abs/2504.02636v2
Magic: Multi-Agent Argumentation And Grammar Integrated Critiquer
Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2506.13037v2
Kgquest: Template-Driven Qa Generation From Knowledge Graphs With Llm-Based Refinement
Sania Nayab, Marco Simoni, Giulio Rossolini, Andrea Saracino. (11/2025). arXiv. https://arxiv.org/abs/2511.11258v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education
Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (11/2025). arXiv. https://arxiv.org/abs/2509.21972v2
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates. (11/2025). Computers & Education. https://www.sciencedirect.com/science/article/pii/S0360131525002829
"Learning Together": Ai-Mediated Support For Parental Involvement In Everyday Learning
Yao Li, Jingyi Xie, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.20123v2
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Relief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). arXiv. http://arxiv.org/abs/2510.18296v1
Towards Mining Effective Pedagogical Strategies From Learner-Llm Educational Dialogues
Liqun He, Manolis Mavrikis, Mutlu Cukurova. (10/2025). arXiv. http://arxiv.org/abs/2510.17698v1
Integrating Generative Al Into Lms: Reshaping Learning And Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler. (10/2025). arXiv. http://arxiv.org/abs/2510.18026v1
Ai-Generated Essays: Characteristics And Implications On Automated Scoring And Academic Integrity
Yang Zhong, Jiangang Hao, Michael Fauss, Chen Li, Yuan Wang. (10/2025). arXiv. http://arxiv.org/abs/2410.17439v4
The Agency Gap: How Generative Ai Literacy Shapes Independent Writing After Ai Support
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (10/2025). arXiv. http://arxiv.org/abs/2507.04398v2
Artificial Intelligence For Optimal Learning: A Comparative Approach Towards Ai-Enhanced Learning Environments
Ananth Hariharan. (10/2025). arXiv. http://arxiv.org/abs/2510.11755v1
Nim: Neuro-Symbolic Ideographic Metalanguage For Inclusive Communication
Prawaal Sharma, Poonam Goyal, Navneet Goyal, Vidisha Sharma. (10/2025). arXiv. http://arxiv.org/abs/2510.10459v1
Survey Of Natural Language Processing For Education: Taxonomy, Systematic Review, And Future Trends
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou. (10/2025). arXiv. http://arxiv.org/abs/2401.07518v4
From Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv. http://arxiv.org/abs/2506.04822v2
Ai In Data Science Education: Experiences From The Classroom
J.A. Hageman, C.F.W. Peeters. (10/2025). arXiv. http://arxiv.org/abs/2510.00793v1
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
