As online learning becomes increasingly central to education, maintaining student engagement and fostering growth remain fundamental challenges. Advances in AI and deep learning now allow for the detection and analysis of learner engagement in real time, using camera-based emotion recognition and adaptive models. By providing a non-invasive, responsive framework, these technologies can enhance attention, motivation, and cognitive skill development, creating more personalized and effective digital learning experiences. Deep Learning for Engagement and Cognitive Growth in E-Learning critically explores the integration of deep learning and AI to detect, analyze, and enhance student engagement in digital learning platforms. Leveraging camera-based emotion recognition systems and real-time engagement models, the book presents a novel framework that supports cognitive skill development in e-learning without relying on physiological signals. Covering topics such as camera-based deep learning, deepfake detection, and personalized learning pathways, this book is an excellent academic resource for graduate and doctoral students, academicians and policymakers in higher education, administrators, researchers, and more.
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Noor Zaman Jhanjhi is an internationally renowned academic, distinguished researcher, and visionary leader in Artificial Intelligence, Cybersecurity, Digital Innovation, and Intelligent Systems. He currently serves as Distinguished Professor of Computer Science (Artificial Intelligence & Cybersecurity) at the School of Engineering and Technology (FET), Sunway University, Malaysia. Throughout his academic career, he has held several strategic leadership positions, including Director of the Centre for Intelligent Innovation (CII), Director of the Centre for Centre for Smart Society (CSS5) and Program Director for Postgraduate Research Degree Programmes, where he has played a pivotal role in advancing research excellence, postgraduate education, innovation, and international academic collaboration. In recognition of his international academic standing and scholarly expertise, Prof. Jhanjhi has been appointed as an Adjunct Professor, Visiting Professor, Distinguished Visiting Pro.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As online learning becomes increasingly central to education, maintaining student engagement and fostering growth remain fundamental challenges. Advances in AI and deep learning now allow for the detection and analysis of learner engagement in real time, using camera-based emotion recognition and adaptive models. By providing a non-invasive, responsive framework, these technologies can enhance attention, motivation, and cognitive skill development, creating more personalized and effective digital learning experiences. Deep Learning for Engagement and Cognitive Growth in E-Learning critically explores the integration of deep learning and AI to detect, analyze, and enhance student engagement in digital learning platforms. Leveraging camera-based emotion recognition systems and real-time engagement models, the book presents a novel framework that supports cognitive skill development in e-learning without relying on physiological signals. Covering topics such as camera-based deep learning, deepfake detection, and personalized learning pathways, this book is an excellent academic resource for graduate and doctoral students, academicians and policymakers in higher education, administrators, researchers, and more. Seller Inventory # 9798337376936
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Taschenbuch. Condition: Neu. Deep Learning for Engagement and Cognitive Growth in E-Learning | Samina Rajper (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337376936 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136774477