Abstract
Currently, universities are being forced to change the paradigms of education, where knowledge is mainly based on the experience of the teacher. This change includes the development of quality education focused on students’ learning. These factors have forced universities to look for a solution that allows them to extract data from different information systems and convert them into the knowledge necessary to make decisions that improve learning outcomes. The information systems administered by the universities store a large volume of data on the socioeconomic and academic variables of the students. In the university field, these data are generally not used to generate knowledge about their students, unlike in the business field, where the data are intensively analyzed in business intelligence to gain a competitive advantage. These success stories in the business field can be replicated by universities through an analysis of educational data. This document presents a method that combines models and techniques of data mining within an architecture of business intelligence to make decisions about variables that can influence the development of learning. In order to test the proposed method, a case study is presented, in which students are identified and classified according to the data they generate in the different information systems of a university.
Highlights
The use of information and communication technologies (ICTs) is included in all the activities of society
This paper presented a method for the implementation of a business intelligence (BI) framework that covers the treatment, analysis and presentation of data that can respond to any problem generated in an educational institution
Our framework offers a practical means for universities to begin their journey towards the implementation of BI by crystallizing their most important processes and defining the necessary information to support these processes
Summary
The use of information and communication technologies (ICTs) is included in all the activities of society. Universities are not far behind, and include ICTs in most of their processes. These processes integrate the administrative management on which the existence of the universities depends or use them as support for academic management [1]. The most extended use of ICTs for academic management is the learning management system (LMS) [2] that supports online interaction between teachers and students. There are scenarios in which specific support by ICTs is needed to solve common problems centered on learning. These scenarios allow ICTs to apply new models and educational methods in student learning. A guide to this may be the personalization that companies have achieved with their customers through data analysis models that allow managers, executives and analysts to discover trends and improve the services and products they offer to their customers
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
