What is the relationship between the data a university generates each day and the quality of learning its students receive? This book answers that question by combining rigorous evidence with real-world examples: how Georgia State University used an early-warning system to increase its graduation rate by more than twenty percentage points and close historic equity gaps; how Arizona State University redesigned entire courses using adaptive learning, raising the pass rate for an algebra course from 57% to 79%; and how the Open University in the United Kingdom built one of the most studied predictive analytics systems in academia to provide remote support to tens of thousands of students. Based on these case studies, the book identifies three pillars that determine whether predictive analytics truly improves learning personalization-the use of big data, satisfaction with digital tools, and the immediacy of feedback-and offers a practical framework, unprecedented in the literature on the subject, for implementing these strategies in combination with generative artificial intelligence.
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Ingenieur für Computersysteme, Absolvent derUniversität von Guayaquil (Ecuador), mit mehr als zehn Jahren Erfahrung im Bereich der Softwareentwicklung.Master in Pädagogik mit den Schwerpunkten Lehre und Forschung im Hochschulbereich, an der Staatlichen Universität von Milagro (Ecuador).
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Paperback. Zustand: new. Paperback. What is the relationship between the data a university generates each day and the quality of learning its students receive? This book answers that question by combining rigorous evidence with real-world examples: how Georgia State University used an early-warning system to increase its graduation rate by more than twenty percentage points and close historic equity gaps; how Arizona State University redesigned entire courses using adaptive learning, raising the pass rate for an algebra course from 57% to 79%; and how the Open University in the United Kingdom built one of the most studied predictive analytics systems in academia to provide remote support to tens of thousands of students. Based on these case studies, the book identifies three pillars that determine whether predictive analytics truly improves learning personalization-the use of big data, satisfaction with digital tools, and the immediacy of feedback-and offers a practical framework, unprecedented in the literature on the subject, for implementing these strategies in combination with generative artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786630405880
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - What is the relationship between the data a university generates each day and the quality of learning its students receive This book answers that question by combining rigorous evidence with real-world examples: how Georgia State University used an early-warning system to increase its graduation rate by more than twenty percentage points and close historic equity gaps; how Arizona State University redesigned entire courses using adaptive learning, raising the pass rate for an algebra course from 57% to 79%; and how the Open University in the United Kingdom built one of the most studied predictive analytics systems in academia to provide remote support to tens of thousands of students. Based on these case studies, the book identifies three pillars that determine whether predictive analytics truly improves learning personalization-the use of big data, satisfaction with digital tools, and the immediacy of feedback-and offers a practical framework, unprecedented in the literature on the subject, for implementing these strategies in combination with generative artificial intelligence. Bestandsnummer des Verkäufers 9786630405880
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Paperback. Zustand: new. Paperback. What is the relationship between the data a university generates each day and the quality of learning its students receive? This book answers that question by combining rigorous evidence with real-world examples: how Georgia State University used an early-warning system to increase its graduation rate by more than twenty percentage points and close historic equity gaps; how Arizona State University redesigned entire courses using adaptive learning, raising the pass rate for an algebra course from 57% to 79%; and how the Open University in the United Kingdom built one of the most studied predictive analytics systems in academia to provide remote support to tens of thousands of students. Based on these case studies, the book identifies three pillars that determine whether predictive analytics truly improves learning personalization-the use of big data, satisfaction with digital tools, and the immediacy of feedback-and offers a practical framework, unprecedented in the literature on the subject, for implementing these strategies in combination with generative artificial intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786630405880
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Taschenbuch. Zustand: Neu. PREDICTIVE ANALYTICS AND PERSONALIZED LEARNING | Transforming Higher Education Through Data Intelligence | Leonidas Banchon | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786630405880 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136296672
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