College students’ Network behavior Using data mining and feature analysis

Autor:	Sk HeenaKauser, Srinivasa Rao Madala, Thatiparthi Sravani
Rok vydání:	2021
Předmět:	History Computer science ComputingMilieux_COMPUTERSANDEDUCATION Network behavior Data mining computer.software_genre computer Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2089:012075
ISSN:	1742-6596 1742-6588
Popis:	Teachers may use advanced analytics to rapidly and correctly understand undergraduate behavior trends, especially when it comes to identifying undergraduate groupings that need to be focused on at a later time. This study uses data mining cluster analysis to analyze the constituent behavior of 3,245 undergraduates in a specific level ‘B’ institution’s college network. According to the data, there are four different undergraduate groups with different Web access features, with 350 participants using the accomplishments and other variables of their success have an influence on these students. As a result of this research, we were able to collect data on undergraduate college network activity, which may be used to aid in the development of academic advising management.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::887a82505c823c556d71c5c34da7b74a https://doi.org/10.1088/1742-6596/2089/1/012075 Zobrazit plný text záznamu