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DOI: 10.14569/IJACSA.2015.060110
PDF

Emotional Engagement and Active Learning in a Marketing Simulation: A Review and Exploratory Study

Author 1: Kear Andrew
Author 2: Bown Gerald Robin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 1, 2015.

  • Abstract and Keywords
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Abstract: This paper considers the role of emotional engagement during the use of a simulation. This is placed in the context of learning about marketing. The literature highlights questions of engagement and interactivity that are entailed in the use of these simulations. It is observed here that both the anticipation of and the process of engagement with the simulation generate emotional responses. The evidence of emotional anticipation was collected through the use of vignettes and a short survey. The production of negative emotions before and after the activity was observed and considered. The particular occurrence of these emotions on the development of understanding is then discussed. There is general evidence for the mundane reality of such simulations that support learning and group engagement. The connection with activity theory was explored and proposed as a potential theoretical fit with the evidence.

Keywords: component; Learning; Simulations; Feedback; Emotional Learning Scenarios; Emotional Anticipation; Deep Learning; Vignette Research

Kear Andrew and Bown Gerald Robin, “Emotional Engagement and Active Learning in a Marketing Simulation: A Review and Exploratory Study” International Journal of Advanced Computer Science and Applications(IJACSA), 6(1), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060110

@article{Andrew2015,
title = {Emotional Engagement and Active Learning in a Marketing Simulation: A Review and Exploratory Study},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060110},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060110},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {1},
author = {Kear Andrew and Bown Gerald Robin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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