In 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.

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