issue v3 n1 teaching in business administration @journal.mbe

Article

TEACHING IN BUSINESS ADMINISTRATION: A CUSTOMIZED PROCESS DRIVEN BY TECHNOLOGICAL INNOVATIONS🔗

ENSEÑANDO ADMINISTRACIÓN DE EMPRESAS: UN PROCESO PERSONALIZADO IMPULSADO POR INNOVACIONES TECNOLÓGICAS🔗

Author(s)🔗

Enrique Bigne , Universidad de Valencia, Spain

https://doi.org/10.35564/jmbe.2020.0002

Abstract🔗

Three technological innovations are challenging higher education learning processes. This paper addresses the implications for these learning processes of interactive digital transformation, artificial intelligence, and content customization. These innovations involve three types of teaching and learning activity processes, digital learning, learning analytics and tailored learning. Our approach suggests relevant implications for carrying out teaching activities in the new scenario characterized by learning anywhere at any time. Furthermore, the digitalization process allows teachers to use data mining techniques to monitor students’ activity; this can be used as a basis for customizing delivered content. Last, a question agenda is proposed and further developments are examined based on the three parties involved in the learning process: students, teachers and delivered content.

Keywords
digital learning, learning analytics, tailored learning, artificial intelligence

Resumen🔗

Tres innovaciones tecnológicas desafían los procesos de aprendizaje de la educación superior. Este documento aborda las implicaciones para estos procesos de aprendizaje de transformación digital interactiva, inteligencia artificial y personalización de contenido. Estas innovaciones involucran tres tipos de procesos de aprendizaje y enseñanza: aprendizaje digital, análisis de aprendizaje y aprendizaje personalizado. Nuestro enfoque sugiere implicaciones relevantes para llevar a cabo actividades de enseñanza en el nuevo escenario caracterizado por aprender en cualquier lugar, en cualquier momento. Además, el proceso de digitalización permite a los maestros usar técnicas de minería de datos para monitorear la actividad de los estudiantes; Esto se puede utilizar como base para personalizar el contenido entregado. Por último, se propone una agenda de preguntas y se examinan desarrollos adicionales basados en las tres partes involucradas en el proceso de aprendizaje: estudiantes, maestros y contenido.

Palabras clave
aprendizaje digital, análisis de aprendizaje, aprendizaje personalizado, inteligencia artificial

Received
7 January 2020

Accepted
21 February 2020

Copyright
This is an open access article under the CC BY-NC license.

Citation🔗

Bigne, E. (2020). Teaching in business: a customized process driven by technological innovations. Journal of Management and Business Education, 3(1), 4-15. https://doi.org/10.35564/jmbe.2020.0002

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