ALF - a Framework for Evaluating Accelerated Learning in Industry
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Published:2019-09-20
Issue:3
Volume:6
Page:81-99
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ISSN:2384-8766
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Container-title:International Journal of Serious Games
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language:
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Short-container-title:IJSG
Author:
Petersen Sobah Abbas,Oliveira Manuel,Hestetun Kristin,Sørensen Anette Østbø
Abstract
Games have long been considered as a means to support effective learning, motivate learners and accelerate their learning. Several successful studies using game-based learning are reported in the literature. However, there appears to be a research gap on systematically evaluating accelerated learning in game environments. The main research question we address in this paper is how can we evaluate accelerated learning in game-based learning environments? The main contribution of this paper will be a framework for evaluating accelerated learning in games (ALF). We will illustrate the use of this framework by describing studies conducted in the Norwegian industrial project ALTT (Accelerate Learning Through Technology), aimed at capacity building in the aluminium industry, where we have co-designed a game for accelerating learning about the electrolysis process for extracting aluminium and heat balance in the aluminium production cells.
Publisher
Serious Games Society
Subject
Applied Mathematics,Artificial Intelligence,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Education,Software
Cited by
3 articles.
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