Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment.
"Sinopsis" puede pertenecer a otra edición de este libro.
Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment.
The author is a PhD student in Computer Science with research interest in Intelligent Software Engineering, Optimization, Data Mining and Artificial Intelligence. Aside possessing an M.Sc. in Computer Science, he holds an MBA degree. He is keen on using computational theories to solve socio-economic problems.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment. 64 pp. Englisch. Nº de ref. del artículo: 9783330336070
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: 3330336072
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Okewu EmmanuelThe author is a PhD student in Computer Science with research interest in Intelligent Software Engineering, Optimization, Data Mining and Artificial Intelligence. Aside possessing an M.Sc. in Computer Science, he holds . Nº de ref. del artículo: 156348509
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. Neuware -Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Nº de ref. del artículo: 9783330336070
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment. Nº de ref. del artículo: 9783330336070
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Learning Analytics Systems in Higher Education | Emmanuel Okewu | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330336070 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109500030
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