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Outcomes – Literacy
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 274
When Evaluators Cry Wolf: Lessons From Production LLM-As-Judge Evaluation In Educational AI
Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper, Keanon O'Keefe, Patrick Russell. (09/2026). arXiv. https://arxiv.org/abs/2609.28478v2
Characterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature
Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv. https://arxiv.org/abs/2609.28886v1
Studentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains
Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv. https://arxiv.org/abs/2609.28470?utm_source=chatgpt.com
Little Impact Of ChatGPT On High School Test Scores
Nick Huntington-Klein. (09/2026). arXiv. https://arxiv.org/abs/2605.08812v3
Dose, Not Access: Digital Reading Tutor Use And Early Reading Growth
Nicholas A. Gage. (09/2026). EdArXiv. https://osf.io/preprints/edarxiv/4a6sk_v1
Instructional Objectives Completed And Skill-Specific Early Reading Growth In A Digital Reading Tutor
Nicholas A. Gage. (09/2026). EdArXiv. https://osf.io/preprints/edarxiv/47pzq_v1
Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study On Cooking Recipes
Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Kaser. (09/2026). arXiv. https://arxiv.org/abs/2609.17118v1
Tinker Tales: A Tangible Dialogue System For Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi, Jinho D. Choi. (09/2026). arXiv. https://arxiv.org/abs/2602.04109v3
How Students (Really) Use ChatGPT: Uncovering Experiences Among Undergraduate Students
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (08/2026). arXiv. https://arxiv.org/abs/2505.24126v5
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence From A Randomized Experiment
Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani, Ramiro Galvez, Maria Lombardi. (08/2026). arXiv. https://arxiv.org/abs/2608.04198v1
Eduzone: A Framework For Evaluating LLM Safety For K-12 Students And Teachers
Junyeong Park, Jieun Han, Haneul Yoo, So-Yeon Ahn, Jinsung Yoon, Alice Oh. (08/2026). arXiv. https://arxiv.org/abs/2608.02024v1
The Agency Gap In AI-Supported Writing: How Reactive And Proactive Agent Designs Shape Multimodal Reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2507.04398v3
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. (07/2026). arXiv. https://arxiv.org/abs/2504.02636v3
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
AI-Integrated Scientific Inquiry: A Practice-Centered Vision For Science Education
Arne Bewersdorff, Matias Rojas, Xiaoming Zhai. (07/2026). arXiv. https://arxiv.org/abs/2607.21777v1
From Novelty To Normalisation: Tracking Changing Perceptions Of AI In Higher Education, 2024-2026
Juliana Gerard, Morgan Macleod, Kelly Norwood, Aisling Reid, Muskaan Singh. (07/2026). arXiv. https://arxiv.org/abs/2607.16223v2
Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339
Student Evaluation Of Repeated AI Feedback Across A Semester Of Writing
Andres Karjus, Janika Leoste, Tiia Õun. (07/2026). arXiv. https://arxiv.org/abs/2607.16115v1
How Well Does AI-Generated Feedback Work? Intrinsic And Extrinsic Evaluation Across More Than 20,000 Efl Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. (07/2026). arXiv. https://arxiv.org/abs/2607.14591v1
Measuring How Students Rely On Generative AI In Academic Writing: Development And Multi-Source Validation Of The Generative AI Reliance Types Scale (Genai-Rts)
Shahin Hossain, Tukhbita Afroz Nawmi. (07/2026). arXiv. https://arxiv.org/abs/2607.14301v1
How Annotation Trains Annotators: Competence Development In Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczƒôsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko. (07/2026). arXiv. https://arxiv.org/abs/2604.02951v2
Learning In Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework For Language Learning
Nicy Scaria, Silvester John Joseph Kennedy, Deepak Subramani. (07/2026). arXiv. https://arxiv.org/abs/2604.22770v2
The Generative AI Learning Penalty: Evidence from Chinese Secondary Education
David Stromberg, Victor Lei, Yanhui Wu. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618
AI In The Wild: A Large Scale Analysis Of Authentic Interactions Of College Students With Generative AI
Taelin Karidi, Ofra Amir, Ido Roll. (06/2026). arXiv. https://arxiv.org/abs/2606.29442v1
Comparing Teacher And AI-Generated Feedback In The Writing Classroom: Experimental Results From Secondary School Classrooms
Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf K‚àö‚àÇller, Rene F. Kizilcec, Thorben Jansen. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811602
An Empirical Study To Understand How Students Use ChatGPT For Writing Essays
Andrew Jelson, Daniel Manesh, Alice Jang, Daniel Dunlap, Young-Ho Kim, Sang Won Lee. (06/2026). arXiv. https://arxiv.org/abs/2501.10551v5
The Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences
Lei Fan, Fangxue Liu. (06/2026). arXiv. https://arxiv.org/abs/2606.24104v1
Analyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv. https://arxiv.org/abs/2606.22735v1
