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Full Description
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 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.
Contents
Chapter 1. Introduction (XZ).- Chapter 2. GAI for STEM education research (XZ).- Chapter 3. Using GAI for Automatic Scoring (Ehsan, XZ).- Chapter 4. Adaptive Learning in STEM education research (Yizhu).- Chapter 5. Adaptive Testing for STEM Learning (ShiYU).- Chapter 6. Explainable AI in STEM education research (Ninghao).- Chapter 7. Computer Vision in STEM education research (GG, XZ).- Chapter 8. Intelligent Tutor for STEM Learning (Ehsan, Wenchao).- Chapter 9. Recommender Systems for STEM education research (Xuansheng).- Chapter 10. Sentiment Analysis for STEM Learning (Lehong, Shuchen).- Chapter 11. Automated Assessment Generation (Mathew, XZ).- Chapter12. Conclusion (XZ).



