Article

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

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

 
English Full Article Citation
 

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

References🔗

Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120.
https://doi.org/10.1177/014920639101700108

Bigné, E.; Badenes-Rocha, A.; Ruiz, C. & Andreu, L. (2019). Blended training for teachers of online higher education. Journal of Management and Business Education, 2(2), 108-126.
https://doi.org/10.35564/jmbe.2019.0010

Bulger, M. (2016). Personalized learning: The conversations we're not having. Data and Society, 22.

Chung, T. S.; Rust, R. T. & Wedel, M. (2009). My mobile music: An adaptive personalization system for digital audio players. Marketing Science, 28(1), 52-68.
https://doi.org/10.1287/mksc.1080.0371

Hauser, J. R.; Urban, G. L.; Liberali, G. & Braun, M. (2009). Website morphing. Marketing Science, 28(2), 202-223.
https://doi.org/10.1287/mksc.1080.0459

Huang, M. H. & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
https://doi.org/10.1177/1094670517752459

Kaplan, A. & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
https://doi.org/10.1016/j.bushor.2018.08.004

Litterio, A. M., Nantes, E. A., Larrosa, J. M., & Gómez, L. J. (2017). Marketing and social networks: a criterion for detecting opinion leaders. European Journal of Management and Business Economics, 26(3), 347-366.
https://doi.org/10.1108/EJMBE-10-2017-020

Liu, D.; Bhagat, K. K.; Gao, Y.; Chang, T. W. & Huang, R. (2017). The potentials and trends of virtual reality in education. In Virtual, augmented, and mixed realities in education (pp. 105-130). Springer, Singapore.
https://doi.org/10.1007/978-981-10-5490-7_7

Mora, J.G. (1991). Calidad y rendimiento en las instituciones universitarias. Consejo de Universidades, Madrid.

Popenici, S. A. & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22.
https://doi.org/10.1186/s41039-017-0062-8

Rust, R. T. & Huang, M. H. (2014). The service revolution and the transformation of marketing science. Marketing Science, 33(2), 206-221.
https://doi.org/10.1287/mksc.2013.0836

Sein-Echaluce, M. L., Fidalgo-Blanco, Á., García-Peñalvo, F. J. & Conde, M. Á. (2016). iMOOC Platform: Adaptive MOOCs. In International Conference on Learning and Collaboration Technologies, pp. 380-390. Springer, Cham.
https://doi.org/10.1007/978-3-319-39483-1_35

Somyürek, S. (2015). The new trends in adaptive educational hypermedia systems. International Review of Research in Open and Distributed Learning, 16(1), 221-241.
https://doi.org/10.19173/irrodl.v16i1.1946

Sunar, A.S.; Abdullah, N.A.; White, S. & Davis, H. C. (2015) Personalisation of MOOCs: the state of the art. In Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU. Scitepress. pp. 88-97
https://doi.org/10.5220/0005445200880097

Virtanen, M. A.; Haavisto, E.; Liikanen, E. & Kääriäinen, M. (2018). Ubiquitous learning environments in higher education: A scoping literature review. Education and Information Technologies, 23(2), 985-998.
https://doi.org/10.1007/s10639-017-9646-6

Zawacki-Richter, O.; Marín, V. I.; Bond, M. & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education-where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.
https://doi.org/10.1186/s41239-019-0171-0