Abstract:
There is a growing literature addressing the potential of Serious Games (SGs) in supporting Deep Learning (DL). DL in pedagogical context goes beyond basic training as it...Show MoreMetadata
Abstract:
There is a growing literature addressing the potential of Serious Games (SGs) in supporting Deep Learning (DL). DL in pedagogical context goes beyond basic training as it encourages students to refine, broaden and deepen their understanding, develop advanced processes and skills, and apply learning to new, novel and authentic situations. The aim of this doctoral colloquium research is to effect and quantify DL using SGs. This paper presents a methodology that addresses this aim. This comprises of the development of a framework called the Game ELC+ to test the strength of adult teaching (andragogy) as well as facilitate DL. The Game ELC+ framework fuses the Octalysis Framework, Bloom's Taxonomy, Cognitive Theory of Multimedia Learning and Ruskov's four evidences of DL. A use case of judgment and decision making in recruitment and selection - through a SG build following the Game ELC+ is proposed and tested with users.
Date of Conference: 21-25 June 2020
Date Added to IEEE Xplore: 04 August 2020
ISBN Information: