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Algorithm for the Identification of Student Desertion
Edité par
Omniscriptum, Sciencia Scripts Sep 2024, 2024
ISBN 10 : 6208085764
ISBN 13 : 9786208085766
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences. 68 pp. Englisch. N° de réf. du vendeur 9786208085766
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Algorithm for the Identification of Student Desertion
Edité par
Sciencia Scripts Sep 2024, 2024
ISBN 10 : 6208085764
ISBN 13 : 9786208085766
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9786208085766
Quantité disponible : 2 disponible(s)
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Algorithm for the Identification of Student Desertion : Logistic Regression Algorithm for the Identification of Student Attrition
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences. N° de réf. du vendeur 9786208085766
Quantité disponible : 1 disponible(s)