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Uses of Artificial Intelligence in STEM Education explores the transformative role of AI in STEM learning. It covers challenges and opportunities, highlighting the balance between human instruction and technological tools. The book examines innovative AI applications such as automated grading, intelligent tutors, and adaptive learning systems, while also addressing AI's role in supporting diverse learners, including those with disabilities. Ethical considerations and the need for adaptive teaching strategies are discussed, emphasizing how AI can reshape STEM education. A comprehensive guide for educators, researchers, and policymakers, it offers insights into the future of AI-driven STEM education.
Chapters featuring CREATE authors:
1. Introduction: AI-based STEM Education: Challenges and Opportunities, Xiaoming Zhai and Joseph Krajcik
7. Exploring Attributes of Successful Machine Learning Assessments for Scoring of Undergraduate Constructed Response Assessment Items, Megan Shiroda, Jennifer Doherty, and Kevin C. Haudek
16. A Design Framework for Integrating Artificial Intelligence to Support Teachers' Timely Use of Knowledge-in-Use Assessments, Peng He, Namsoo Shin, Xiaoming Zhai, Joseph Krajcik
22. Artificial Intelligence (AI) as the Growing Actor in Education: Raising Critical Consciousness Towards Power and Ethics of AI in K-12 STEM Classrooms, Selin Akgun, Joseph Krajcik
25. Pseudo Artificial Intelligence Bias, Xiaoming Zhai & Joseph Krajcik
