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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 301 - 330 of 495
The effectiveness of ChatGPT in assisting high school students in programming learning: evidence from a quasi-experimental research
Tzu-Chi Yang, Yi-Chuan Hsu, Jiun-Yu Wu. (01/2025). Interactive Learning Environments. https://www.tandfonline.com/doi/full/10.1080/10494820.2025.2450659?src=#:~:text…
Bridging the Early Science Gap with Artificial Intelligence Evaluating Large Language Models as Tools for Early Childhood Science Education
Annika Bush, Amin Alibakhshi. (01/2025). arXiv. http://arxiv.org/pdf/2501.01192v2
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Kaser. (01/2025). arXiv. http://arxiv.org/pdf/2409.08027v2
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li, Mutlu Cukurova, Sahan Bulathwela. (01/2025). arXiv. http://arxiv.org/pdf/2501.05220v1
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii. (01/2025). arXiv. https://arxiv.org/pdf/2501.14305
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Ga‘l Gendron, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu. (01/2025). arXiv. http://arxiv.org/pdf/2309.10444v5
Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai. (01/2025). arXiv. http://arxiv.org/pdf/2501.06704v1
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
Yooseop Lee, Suin Kim, Yohan Jo. (01/2025). arXiv. https://arxiv.org/pdf/2501.13125
Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
Xiangen Hu, Sheng Xu, Richard Tong, & Art Graesser. (01/2025). arXiv. http://arxiv.org/pdf/2501.06682v1
Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
David Baidoo-Anu, Leticia Owusu Ansah. (01/2025). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4337484
Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions
Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson. (01/2025). arXiv. http://arxiv.org/pdf/2501.09210v1
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
Zhaoxing LI, Vahid Yazdanpanah, Jindi Wang, Wen Gu, Lei Shi, Alexandra I. Cristea, Sarah Kiden, Sebastian Stein. (01/2025). arXiv. https://arxiv.org/pdf/2502.15709
LearnLM: Improving Gemini for Learning
LearnLM Team, Google. (12/2024). arXiv. https://arxiv.org/pdf/2412.16429
Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education
Karen D. Wang, Zhangyang Wu, L'Nard Tufts II, Carl Wieman, Shima Salehi, Nick Haber. (12/2024). arXiv. https://arxiv.org/pdf/2412.02653
MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI
Yunnong Chen, Shuhong Xiao, Yaxuan Song, Zejian Li, Lingyun Sun, Liuqing Chen. (12/2024). arXiv. https://arxiv.org/pdf/2412.09001
Generative AI as a lab partner: a case study
Sebastian Kilde-Westberg, Andreas Johansson, Jonas Enger. (12/2024). arXiv. https://arxiv.org/pdf/2412.11300
"From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education
Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guanze Liao. (12/2024). arXiv. https://arxiv.org/pdf/2412.17243
Learning-By-Teaching With ChatGPT: The Effect Of Teachable ChatGPT Agent On Programming Education
Angxuan Chen, Yuang Wei, Huixiao Le, Yan Zhang. (12/2024). arXiv. https://arxiv.org/pdf/2412.15226
The Evolving Usage of GenAI by Computing Students
Irene Hou, Hannah Vy Nguyen, Owen Man, Stephen MacNeil. (12/2024). arXiv. https://arxiv.org/pdf/2412.16453
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Masoud Bashiri,Kamran Kowsari. (12/2024). arXiv. https://arxiv.org/pdf/2407.15012
Tuning Music Education: AI-Powered Personalization in Learning Music
Mayank Sanganeria, Rohan Gala. (12/2024). arXiv. https://arxiv.org/pdf/2412.13514
Who is Helping Whom? Student Concerns about AI-Teacher Collaboration in Higher Education Classrooms
Bingyi Han, Simon Coghlan, George Buchanan, Dana McKay. (12/2024). arXiv. https://arxiv.org/pdf/2412.14469
AI in Education: Rationale, Principles, and Instructional Implications
Eyvind Elstad. (12/2024). arXiv. http://arxiv.org/pdf/2412.12116v1
Leveraging AI for Rapid Generation of Physics Simulations in Education: Building Your Own Virtual Lab
Yossi Ben-Zion, Roi Einhorn Zarzecki, Joshua Glazer, Noah D. Finkelstein. (12/2024). arXiv. http://arxiv.org/pdf/2412.07482v1
You're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
Dominic Lohr, Hieke Keuning, Natalie Kiesler. (12/2024). arXiv. http://arxiv.org/pdf/2412.03516v1
Al-Supported Data Analysis Boosts Student Motivation and Reduces Stress in Physics Education
Jannik Henze, AndrŽ Bresges, Sebastian Becker-Genschow. (12/2024). arXiv. https://arxiv.org/pdf/2412.20951
Can OpenAI o1 outperform humans in higher-order cognitive thinking?
Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nyaaba, Arne Bewerdorff, Xiantong Yang, Xiaoming Zhai. (12/2024). arXiv. https://arxiv.org/pdf/2412.05753
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Ben Ward,Deepshikha Bhati,Fnu Neha,Angela Guercio. (12/2024). arXiv. https://arxiv.org/pdf/2412.02166
