This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools--such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring--can be applied to enhance educational outcomes. Designed for researchers, educators, and graduate students, the book provides in-depth insights into AI as a tool for cutting-edge research methods and its potential to revolutionize research practices. Through practical examples, case studies, and methodological details, it serves as an essential resource for those looking to push beyond conventional methods and embrace the possibilities offered by AI in educational research.

Prof. Joseph Krajcik, Michigan State University, USA

A timely and essential contribution to the field of STEM Education. By positioning AI as a methodological tool, this book opens new pathways for rigorous, data-driven inquiry in STEM education. Researchers in STEM education will find the book a valuable resource that is both technically robust and pedagogically thoughtful. The book will empower STEM researchers from graduate students to senior faculty to engage with AI not just as a tool for efficiency, but to deepen their understanding and promote equity in STEM learning environments.

Prof. Marcia C. Linn, University of California, Berkeley, USA

Anyone planning to apply AI to educational challenges such as creating assessments or automating guidance should get this edited book. The authors tackle contemporary uses of AI in education, including intelligent tutors, computer vision, and emotional learning. AI in STEM Education Research gives readers historical perspectives, detailed use cases, and valuable insights.

Emeritus Prof. James W. Pellegrino, University of Illinois Chicago, USA

Much continues to be written about the actual and potential contributions of AI to STEM education. For those new to the AI field and wanting to learn more, including how to incorporate AI in their STEM education research and/or practice, this is a godsend. It is a practical guide for those looking to deepen their understanding of how AI can be used to support empirical investigations in STEM education. Written in plain language by a group with expertise in STEM education, AI, data science, and educational statistics, it is an invaluable resource for many in the field of STEM education.

This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools--such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring--can be applied to enhance educational outcomes. Designed for researchers, educators, and graduate students, the book provides in-depth insights into AI as a tool for cutting-edge research methods and its potential to revolutionize research practices. Through practical examples, case studies, and methodological details, it serves as an essential resource for those looking to push beyond conventional methods and embrace the possibilities offered by AI in educational research.