Higher education institutions have faced major problems caused by academic retention, this problem can be characterized as a delay in the completion of the course by students. In light of this, several researchers have dedicated their efforts to finding the causes and preventing academic retention, and educational data mining can help in this process. However, to obtain satisfactory results with data mining applied to the context of academic retention it is necessary to know the best data mining resources to be used. Thus, in this paper a systematic review of the literature was conducted in order to identify the main data mining techniques and tools that can be applied in this process, as well as to identify the main factors that induce academic retention.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Higher education institutions have faced major problems caused by academic retention, this problem can be characterized as a delay in the completion of the course by students. In light of this, several researchers have dedicated their efforts to finding the causes and preventing academic retention, and educational data mining can help in this process. However, to obtain satisfactory results with data mining applied to the context of academic retention it is necessary to know the best data mining resources to be used. Thus, in this paper a systematic review of the literature was conducted in order to identify the main data mining techniques and tools that can be applied in this process, as well as to identify the main factors that induce academic retention. 52 pp. Englisch. N° de réf. du vendeur 9786205002810
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Higher education institutions have faced major problems caused by academic retention, this problem can be characterized as a delay in the completion of the course by students. In light of this, several researchers have dedicated their efforts to finding the causes and preventing academic retention, and educational data mining can help in this process. However, to obtain satisfactory results with data mining applied to the context of academic retention it is necessary to know the best data mining resources to be used. Thus, in this paper a systematic review of the literature was conducted in order to identify the main data mining techniques and tools that can be applied in this process, as well as to identify the main factors that induce academic retention.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786205002810
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Higher education institutions have faced major problems caused by academic retention, this problem can be characterized as a delay in the completion of the course by students. In light of this, several researchers have dedicated their efforts to finding the causes and preventing academic retention, and educational data mining can help in this process. However, to obtain satisfactory results with data mining applied to the context of academic retention it is necessary to know the best data mining resources to be used. Thus, in this paper a systematic review of the literature was conducted in order to identify the main data mining techniques and tools that can be applied in this process, as well as to identify the main factors that induce academic retention. N° de réf. du vendeur 9786205002810
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Taschenbuch. Etat : Neu. Data mining in academic retention | a systematic review of the literature | Bruno Torres Marques | Taschenbuch | Englisch | 2022 | Our Knowledge Publishing | EAN 9786205002810 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 123771821
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