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OverviewIn an era where AI technology is rapidly redefining the boundaries of knowledge, creativity, and learning, learning analytics is no longer limited to collecting behavioral data. It has become a new platform for discovering hidden patterns, understanding the learner experience more deeply, and designing personalized learning paths. AI-augmented creativity, as an emerging concept, has found a key position in the transformation of education and learning design. This approach not only helps to analyze educational data more accurately but also enables the creation of innovative and inspiring solutions that were previously beyond the power of humans or traditional algorithms. AI-Augmented Creativity in Learning Analytics explores the innovative pathways for integrating learning analytics with AI. This book offers a fresh perspective on designing personalized, engaging, and data-informed learning journeys for the future of education. Covering topics such as education, AI, and learning analytics, this book is an excellent resource for researchers, educators, instructional designers, content developers, and educational policymakers seeking to better understand the intersection of data, creativity, and technology. Full Product DetailsAuthor: Stavroula Kalogeras , Sepideh Samadi , Hamed NozariPublisher: Igi Global Scientific Publishing Imprint: Igi Global Scientific Publishing Dimensions: Width: 17.80cm , Height: 2.20cm , Length: 25.40cm Weight: 0.866kg ISBN: 9798337351179Pages: 300 Publication Date: 31 October 2025 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationHamed Nozari is a distinguished researcher and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. As the developer of the Greedy Man Optimization Algorithm (GMOA), Dr. Nozari has introduced a novel approach to problem-solving inspired by human behavior and parasitic resistance. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, and autonomous AI for sustainable last-mile delivery. Tab Content 6Author Website:Countries AvailableAll regions |
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