Universal Journal of Educational Research Vol. 11(12), pp. 213 - 222
DOI: 10.13189/ujer.2023.111202
Reprint (PDF) (1398Kb)

StraDForcst: A Web-Based Platform Based on the MVC Model for Forecasting Enrollment in Higher Education Institutions

Bousnguar Hassan ^1,*, Najdi Lotfi ², Battou Amal ^1
1 IRF-SIC, Faculty of Science, Ibn Zohr University, Morocco
² LIMA Laboratory, ENSA, Ibn Zohr University, Morocco

ABSTRACT

A simple and robust information system that can streamline data analysis and reporting, provide valuable assistance to decision-makers is needed. The decision-making process is an obligation in different fields, especially in higher education, which suffers from a lack of such platforms. In this work, we have proposed a solution that will manage enrollment forecasting models in higher education institutions. The capabilities of forecasting models cannot be fully exploited without a platform that facilitates and optimizes access and management of forecasting tasks. In this work, we utilized the MVC model to develop and propose an architecture capable of creating a forecasting platform tailored to the specific context of higher education. The proposed solution, named StraDForcst (Strategic Decision Forecast), is a platform developed using the most popular and suitable technologies in our context. We used the Flask framework, considered one of the most widely used Python frameworks. We employed multiple data sources, including an Oracle 11g database for constructing our time series and several other MySQL databases for model backup and restoration. This solution was applied and tested using real data from Ibn Zohr University, and it has yielded promising results.

KEYWORDS
MVC, Flask, Forecasting, Higher Education

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Bousnguar Hassan , Najdi Lotfi , Battou Amal , "StraDForcst: A Web-Based Platform Based on the MVC Model for Forecasting Enrollment in Higher Education Institutions," Universal Journal of Educational Research, Vol. 11, No. 12, pp. 213 - 222, 2023. DOI: 10.13189/ujer.2023.111202.

(b). APA Format:
Bousnguar Hassan , Najdi Lotfi , Battou Amal (2023). StraDForcst: A Web-Based Platform Based on the MVC Model for Forecasting Enrollment in Higher Education Institutions. Universal Journal of Educational Research, 11(12), 213 - 222. DOI: 10.13189/ujer.2023.111202.