Decision-making Model at Higher Educational Institutions based on Machine Learning

At Higher Educational Institutions (HEI) the high hierarchical managers and directors face many challenges during the decision-making process, that sometimes are rely on intuition, and past experiences, leading not just to delays but the low impact in the whole academic community. A decision-making...

Full description

Saved in:
Bibliographic Details
Published in:J.UCS (Annual print and CD-ROM archive ed.) 2019-01, Vol.25 (10), p.1301-1322
Main Authors: Nieto, Yuri Vanessa, García-Díaz, Vicente, Montenegro, Carlos Enrique
Format: Article
Language:English
Subjects:
Analysis
decision support system
Decision-making
machine
Schools
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:At Higher Educational Institutions (HEI) the high hierarchical managers and directors face many challenges during the decision-making process, that sometimes are rely on intuition, and past experiences, leading not just to delays but the low impact in the whole academic community. A decision-making model for managers and administrator of HEIs is presented. We propose a detailed methodology when academic prognosis is taking place. The comparison between five robust Machine Learning algorithms is executed accomplishing outperformed results by Support Vector Machine. As a validation experiment, we executed the proposed decision model in a face-to-face public university in Colombia, showing the results in a developed web platform prototype with its correspondent architecture. Moreover, we discuss the social implication of low graduation rates.
ISSN:0948-695X
0948-6968
DOI:10.3217/jucs-025-10-1301