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.

Nuzhat Younis is a Lecturer and SFHEA with extensive experience. She is currently affiliated with UWE Bristol and EDA College, delivering undergraduate and postgraduate modules while supervising research projects across multiple domains, including cybersecurity and business analytics. Nuzhat has a diverse academic and technical background, with teaching and leadership roles across the UK, Middle East, and South Asia. She is pursuing a PhD in Management and IT, focusing on the impact of AI tools in higher education. Passionate about inclusive digital education, she actively contributes to curriculum development, quality assurance, and staff training initiatives.

Dr. Yasmine Z. Rosunally is a Senior Lecturer in Information Science at the University of the West of England, with over 18 years of experience in higher education. She specialises in Transnational Education (TNE), curriculum design, and international programme management, having led initiatives across China, Nepal, Vietnam, and Hong Kong. Yasmine is a recognised researcher in technology-enhanced learning, gamification, and AI in education, with numerous publications in high-impact journals. She holds a PhD in Applied Computing and is a Senior Fellow of the Higher Education Academy (SFHEA). Yasmine also serves as an external examiner and advisor for several UK universities.

Dr. Mazhar Malik is Associate Director/Head of Artificial Intelligence department at UWE Bristol, with extensive expertise in cybersecurity, IoT, digital forensics, and computing education. He has held senior academic leadership roles in the UK and internationally, including at Head of Computing and IT at Global College of Engineering and Technology Oman. Dr. Malik actively contributes to global programme reviews, academic quality assurance, and professional accreditation. His research interests include network and IoT security, digital forensics, data analytics, and technology-enhanced learning. His research portfolio includes over 50 peer-reviewed publications on secure routing in IoT, smart cities, medical data analytics, and AI-enhanced cybersecurity. Notable works include contributions to Vehicular Communications, Computers, IEEE Access, PLOS ONE, and Scientific Reports.