Expediting International Student Admission Process Using Data Analytics

Autor:	Wasim A. Al-Hamdani, Hemalatha Indukuri, Mounicasri Valavala
Rok vydání:	2021
Předmět:	Expediting Process management Process (engineering) Computer science Data analysis
Zdroj:	IOP Conference Series: Materials Science and Engineering. 1074:012024
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/1074/1/012024
Popis:	The student admission process is a critical step from both student and university perspectives. The students will benefit if the universities take admission decisions sooner rather than later, leaving them time to opt for another university in case of rejection. However, with the level of manual work involved in the student admission process, universities often take long durations for the admission decisions. Expediting the admission process using Data analytics starts new research across different tasks in educational institutes. The research presents a model to automate each step of the international student admission process in universities across the USA, using Data analytics. The model’s distinguishing capability is that it performs both predictive and descriptive analytics to analyze different student’s application sections and adapt to different admissions types with minor changes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf9ea57e2506d0f339b4375066fae20c https://doi.org/10.1088/1757-899x/1074/1/012024 Zobrazit plný text záznamu