AI for Classroom Management, Teaching, and Learning

Artificial intelligence (AI) is becoming an increasingly influential force in contemporary education, shaping the ways knowledge is delivered, accessed, and assessed. Its growing integration into educational environments is creating new opportunities to support teaching effectiveness, enhance student engagement, and improve learning outcomes. At the same time, the adoption of AI introduces important considerations related to ethics, accountability, transparency, and academic integrity. Educational stakeholders must therefore critically evaluate both the benefits and potential risks associated with these emerging technologies. As AI continues to evolve, understanding its implications for educational practice has become essential for fostering innovation that remains aligned with learner and institutional needs. AI for Classroom Management, Teaching, and Learning critically examines the expanding role of AI in education, weighing its potential to enhance teaching effectiveness and student engagement against pressing concerns around ethics, accountability, and academic integrity. By connecting emerging AI technologies with practical classroom applications and institutional policy considerations, this book equips readers to navigate AI adoption thoughtfully rather than reactively. Covering topics such as data analytics, racial inclusion, and technology adoption, this book is a fundamental academic resource for graduate and doctoral students, instructional designers, educational technologists, school and university administrators, academic integrity officers, teacher educators, education policymakers, and more.