Deep Learning Using Serious Games: An Application for Andragogy in Human Resource Development
DOI:
https://doi.org/10.56198/Keywords:
Game ELC+, Serious Games, Deep Learning, AndragogyAbstract
The progressive substitution of soft skilled jobs for technological advancement creates a necessity for adult learning and honing of soft skills. The objective of this research is therefore to effect and measure Deep Learning using Serious Games which are games created for purposes other than entertainment and in this case, a tool for teaching soft skills to adults in corporate environments. We have developed a framework called the Game ELC+ Framework to test the strength of adult teaching (andragogy) as well as facilitate Deep Learning of a soft skill – judgment and decision making in recruitment and selection – through a Serious Game. This novel quadripartite framework fuses Yu Kai Chow’s Octalysis Framework which focuses on gaming elements, Bloom’s Taxonomy which focuses on learning levels of the learner, Cognitive Theory of Multimedia Learning which focuses on learning channels, and Ruskov’s four evidences of Deep Learning. As a result, this research aims to augment Human Resource Development efforts and contribute to adult Deep
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