Breadcrumb
- Home
- Generative AI For Education Hub
- Research Study Repository
- Outcomes – Literacy
Search and Filter
Submit a research study
Contribute to the repository:
Outcomes – Literacy
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 211
Teachlm: Post-Training Llms For Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. https://arxiv.org/pdf/2510.05087
Towards An Ai-Augmented Textbook
Amy Wang, Anna Iurchenko, Anisha Choudhury, Alicia Martín, Amir Globerson, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Hairong Mu, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Rena Levitt, Shashank Agarwal, Shay Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Zamir, Yael Haramaty, Yishay Mor, Yoav Bar Sinai, Yossi Matias. (10/2025). . https://services.google.com/fh/files/misc/ai_augmented_textbook.pdf
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…
Llms4All: A Review On Large Language Models For Research And Applications In 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, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
Draftmarks: Enhancing Transparency In Human-Ai Co-Writing Through Interactive Skeuomorphic Process Traces
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam. (09/2025). arXiv. http://arxiv.org/pdf/2509.23505v1
Leveraging Large Language Models For Robot-Assisted Learning Of Morphological Structures In Preschool Children With Language Vulnerabilities
Stina Sundstedt, Mattias Wingren, Susanne H√§gglund, Daniel Ventus. (09/2025). arXiv. http://arxiv.org/pdf/2509.22287v1
Autoscore: Enhancing Automated Scoring With Multi-Agent Large Language Models Via Structured Component Recognition
Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai. (09/2025). arXiv. http://arxiv.org/pdf/2509.21910v1
Malaysia'S Ai-Driven Education Landscape: Policies, Applications, And Comparative Insights For A Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin. (09/2025). arXiv. http://arxiv.org/pdf/2509.21858v1
Developing Strategies To Increase Capacity In Ai Education
Noah Q. Cowit, Sri Yash Tadimalla, Stephanie T. Jones, Mary Lou Maher, Tracy Camp, Enrico Pontelli. (09/2025). arXiv. http://arxiv.org/pdf/2509.21713v1
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (09/2025). arXiv. http://arxiv.org/pdf/2509.21972v1
A Meta-Analysis Of Llm Effects On Students Across Qualification, Socialisation, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/pdf/2509.22725v1
Experimentally Testing Al-Powered Content Transformations On Student Learning
Courtney Heldreth, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Diana Akrong, Lidan Hackmon, Lior Belinsky. (09/2025). arXiv. http://arxiv.org/pdf/2509.18664v1
Gen Ai In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). arXiv. http://arxiv.org/pdf/2509.13570v1
Participatory Ai: A Scandinavian Approach To Human-Centered Ai
Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz, Marianne Graves Petersen, Peter Dalsgaard, Ira Assent, Olav W. Bertelsen, Akhil Arora, Kaj Grønbæk, Susanne Bødker, Clemens N. Klokmose, Rachel Charlotte Smith, Sebastian Hubenschmid, Christoph A. Johns, Gabriela Molina León, Anton Wolter, Johannes Ellemose, Vaishali Dhanoa, Simon Aagaard Enni, Mille Skovhus Lunding, Karl-Emil Kjær Bilstrup, Luke Connelly, Rafael Pablos Sarabia, Morten Birk, Juan Sánchez Esquivel, Joachim Nyborg, Stefanie Zollmann, Tobias Langlotz, Meredith Siang-Yun Chou, Jens Emil Sloth Grønbæk, Michael Wessely, Yijing Jiang, Caroline Berger, Duosi Dai, Michael Mose Biskjaer, Germán Leiva, Jonas Frich, Eva Eriksson, Kim Halskov, Thorbjørn Mikkelsen, Nearchos Potamitis, Michel Yildirim, Arvind Srinivasan, Jeanette Falk, Nanna Inie, Ole Sejer Iversen, Hugo Andersson. (09/2025). arXiv. http://arxiv.org/pdf/2509.12752v1
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (09/2025). arXiv. http://arxiv.org/pdf/2509.10782v1
Emerging Patterns Of Genai Use In K-12 Science And Mathematics Education
Lief Esbenshade, Shawon Sarkar, Drew Nucci, Ann Edwards, Sarah Nielsen, Joshua M. Rosenberg, Alex Liu, Zewei (Victor) Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He. (09/2025). arXiv. http://arxiv.org/pdf/2509.10747v1
The Ends Of Tests: Possibilities For Transformative Assessment And Learning With Generative AI
Bill Cope, Mary Kalantzis, Akash Kumar Saini. (09/2025). Unesco. https://www.unesco.org/en/articles/ai-and-future-education-disruptions-dilemmas…
Understanding, Protecting, And Augmenting Human Cognition With Generative Ai: A Synthesis Of The Chi 2025 Tools For Thought Workshop
Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam. (08/2025). arXiv. http://arxiv.org/pdf/2508.21036v1
Prompting Strategies For Language Model-Based Item Generation In K-12 Education: Bridging The Gap Between Small And Large Language Models
Mohammad Amini, Babak Ahmadi, Xiaomeng Xiong, Yilin Zhang, Christopher Qiao. (08/2025). arXiv. http://arxiv.org/pdf/2508.20217v1
Exploring Generative Artificial Intelligence (Genai) And Al Agents In Research And Teaching - Concepts And Practical Cases.
Jussi S. Jauhiainen, Aurora Toppari. (08/2025). arXiv. http://arxiv.org/pdf/2508.16701v2
Opening The 'Can Of Worms': A Comparative Case Study Of Two Ela Teachers' Formation Of Ai Literacy Instruction
Christopher Mah, Ibrahim Adisa, Hillary Walker. (08/2025). Journal of Adolescence and Adult Literacy. https://ila.onlinelibrary.wiley.com/doi/10.1002/jaal.70021
Exploring Ai-Enabled Test Practice, Affect, And Test Outcomes In Language Assessment
Jill Burstein, Ramsey Cardwell, Ping-Lin Chuang, Allison Michalowski, Steven Nydick. (08/2025). arXiv. http://arxiv.org/pdf/2508.17108v1
Zpd-Sca: Unveiling The Blind Spots Of Llms In Assessing Students' Cognitive Abilities
Wenhan Dong, Zhen Sun, Yuemeng Zhao, Zifan Peng, Jun Wu, Jingyi Zheng, Yule Liu, Xinlei He*, Yu Wang, Ruiming Wang, Xinyi Huang, Lei Mo*. (08/2025). arXiv. http://arxiv.org/pdf/2508.14377v2
Robobuddy In The Classroom: Exploring Llm-Powered Social Robots For Storytelling In Learning And Integration Activities
Daniel Tozadore, Nur Ertug, Yasmine Chaker and Mortadha Abderrahim. (08/2025). arXiv. http://arxiv.org/pdf/2508.16706v1
Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy
A Hingle, A Johri. (08/2025). arXiv. http://arxiv.org/pdf/2508.15111v1
Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?
Henrique Godoy. (08/2025). arXiv. http://arxiv.org/pdf/2508.15835v1
Learning To Use Ai For Learning: How Can We Effectively Teach And Measure Prompting Literacy For K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (08/2025). arXiv. http://arxiv.org/pdf/2508.13962v1
Breakable Machine: A K-12 Classroom Game For Transformative Ai Literacy Through Spoofing And Explainable AiI(Xai)
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre. (08/2025). arXiv. http://arxiv.org/pdf/2508.14201v1
