Ai In Education: Teaching Stem Courses Aided By Technology by Danylchenko-cherniak, Oksana; Radin, Michael A;

Long description:

This book invites educators, administrators, and learners to engage with the evolving landscape of digitalization, artificial intelligence (AI), and sustainable education through a blend of discussions, practical exercises, examples, and reflective inquiry. It aims to expand technical comfort zones by encouraging the integration of digital tools into teaching practices, highlighting the essential roles that digitalization and AI play in achieving educational sustainability. Drawing from international teaching experiences, the book explores how sustainability naturally emerges in the pursuit of learning outcomes, often challenged by constraints such as limited instructional time, administrative pressures, and disparities in student preparedness, motivation, and technical skills. It raises critical questions about the relevance of sustainability in education, the connection between adaptive digital learning and sustainable practices, and the risks of outdated instruction when digitalization and AI are excluded from curriculum design. Through this lens, the book examines whether sustainable education can still be accomplished despite these barriers, and how educators can navigate constraints to meet learning objectives in inclusive, equitable, and future-ready environments.