Mixed methods

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 211 - 240 of 306 studies

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
Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts

Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober. (08/2025). arXiv. http://arxiv.org/pdf/2508.14921v1
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration

Zixin Chen, Jiachen Wang, Yumeng Li, Haobo Li, Chuhan Shi, Rong Zhang, Huamin Qu. (08/2025). arXiv. http://arxiv.org/pdf/2507.20655v2
Between Tool and Trouble: Student Attitudes Toward AI in Programming Education

Sergio Rojas-Galeano, Julian Tejada, Fernando Marmolejo-Ramos. (08/2025). arXiv. http://arxiv.org/pdf/2508.05999v1
Al Conversational Tutors in Foreign Language Learning: A Mixed-Methods Evaluation Study

Nikolaos Avouris. (08/2025). arXiv. http://arxiv.org/pdf/2508.05156v1
Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals

Ronja Mehlan, Claudia Hess, Quintus Stierstorfer, Kristina Schaaff. (08/2025). arXiv. http://arxiv.org/pdf/2508.04070v1
A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAlde app

Guilherme Guerino, Luiz Rodrigues, Luana Bianchini, Mariana Alves, Marcelo Marinho, Thomaz Veloso, Valmir Macario, Diego Dermeval, Thales Vieira, Ig Bittencourt, Seiji Isotani. (08/2025). arXiv. http://arxiv.org/pdf/2508.00103v2
WIP: Enhancing Game-Based Learning with AI-Driven Peer Agents

Chengzhang Zhu, Cecile H. Sam, Yanlai Wu, Ying Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.01169v1
AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge Al Capabilities with Classical Educational Theories

Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith, Adam Rich. (08/2025). arXiv. http://arxiv.org/pdf/2508.00970v1
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning

Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed. (07/2025). arXiv. http://arxiv.org/pdf/2507.12079v1
Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education

Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima. (07/2025). arXiv. http://arxiv.org/pdf/2507.00406v2
Assessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study

Kaléu Delphino. (07/2025). arXiv. http://arxiv.org/pdf/2507.06438v1
Do Students Write Better Post-AI Support? Effects of Generative AI Literacy and Chatbot Interaction Strategies on Multimodal Academic Writing

Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gašević, Lixiang Yan. (07/2025). arXiv. http://arxiv.org/pdf/2507.04398v1
Coursemojo Efficacy Study Grade 6, 2024–2025 Aimsweb & TCAP

Rachel Schechter, Michaela Gulemetova, Colin Ackerman, Laura Janakiefski. (07/2025). ERIC. https://files.eric.ed.gov/fulltext/ED677099.pdf
Enhancing English Language Arts Achievement Through Coursemojo AI-Driven Instruction: A Quasi-Experimental Analysis Of Impact On Student Outcomes And Equity

Rachel Schechter, Colin Ackerman, Michaela Gulemetova, Laura Janakiefski. (07/2025). ERIC. https://eric.ed.gov/?id=ED676253
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education

Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper. (06/2025). arXiv. http://arxiv.org/pdf/2506.19107v2
Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)

Shihui Feng, Huilin Zhang, Dragan Gašević. (06/2025). arXiv. http://arxiv.org/pdf/2506.20971v1
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai

Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics

Mustafa Demir, Jacob Miratsky, Jonathan Nguyen, Chun Kit Chan, Punya Mishra, Abhishek Singharoy. (06/2025). arXiv. http://arxiv.org/pdf/2506.22520v1
Evaluating Gemini in an Arena for Learning

LearnLM Team, Google. (05/2025). arXiv. http://arxiv.org/pdf/2505.24477v1
From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots

Santiago Berrezueta-Guzman, Stephan Krusche, Stefan Wagner. (05/2025). arXiv. http://arxiv.org/pdf/2505.22093v1
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education

Maria Cristina Carrisi, Mirko Marras, Sara Vergallo. (05/2025). arXiv. http://arxiv.org/pdf/2505.21398v1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark

Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)

Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (05/2025). arXiv. http://arxiv.org/pdf/2505.17238v1
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example

Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John Stamper, Kenneth R. Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.08083v1
Supporting Students' Reading and Cognition with AI

Yue Fu, Alexis Hiniker. (04/2025). arXiv. https://arxiv.org/pdf/2504.13900v1
Exploring Student Behaviors and Motivations when using AI Teaching Assistants with Optional Guardrails

Amanpreet Kapoor, Marc Diaz, Stephen MacNeil, Leo Porter, Paul Denny. (04/2025). arXiv. https://arxiv.org/pdf/2504.11146v1
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study

Conrad Borchers, Tianze Shou. (04/2025). arXiv. https://arxiv.org/pdf/2504.05570v1
EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework

Yao Shi, Rongkeng Liang, Yong Xu. (04/2025). arXiv. https://arxiv.org/pdf/2504.14928v1
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education - A Comparative Analysis

Shawon Sarkar, Min Sun, Alex Liu, Zewei Tian, Lief Esbenshade, Zachary Zhang, Jian He. (04/2025). arXiv. https://arxiv.org/pdf/2504.05449v1