Architectural Design for the Implementation of Learning Analytics: Case Study at Salesian Polytechnic University

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Resumen

Learning analytics consist of measuring, capturing, and analyzing student data. Currently, the use of learning analytics in Universities constitutes a world trend that helps to make better academic decisions in the Salesian Polytechnic University with the purpose of decrease the dropout rates of the career. The institution developed tutoring processes in which help is provided to students in the teaching-learning process. The problem is that attendance at these tutorials is optional. There is a proliferation of concern about whether the students who most need it the most are the ones who attend these tutorials. Consequently, the University tries to identify the students that are most likely to drop out of their careers before it happens and offer them the help they need through these tutorials. Today, student’s data are growing and are indifferent and scattered databases. This article proposes an architectural design for the implementation of learning analytics that seeks to strengthen students to achieve their personal and academic goals. The evaluation of the architecture was based on the LWPM operator and shows a high evaluation, according to the experts, highlighting the maintainability and reliability of this architecture.

Idioma originalInglés
Título de la publicación alojadaAdvances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2021
EditoresSalman Nazir, Tareq Z. Ahram, Waldemar Karwowski
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas260-268
Número de páginas9
ISBN (versión impresa)9783030799991
DOI
EstadoPublicada - 2021
EventoAHFE Conference on Human Factors in Training, Education, and Learning Sciences, 2021 - Virtual, Online
Duración: 25 jul. 202129 jul. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen269
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaAHFE Conference on Human Factors in Training, Education, and Learning Sciences, 2021
CiudadVirtual, Online
Período25/07/2129/07/21

Nota bibliográfica

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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