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ALF - a Framework for Evaluating Accelerated Learning in Industry
International Journal of Serious Games Pub Date : 2019-09-20 , DOI: 10.17083/ijsg.v6i3.314
Sobah Abbas Petersen , Manuel Oliveira , Kristin Hestetun , Anette Østbø Sørensen

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.

中文翻译:

ALF-评估行业加速学习的框架

长期以来,游戏一直被认为是支持有效学习,激励学习者和加速学习的一种手段。文献中报道了一些使用基于游戏的学习的成功研究。但是,在系统评估游戏环境中的加速学习方面似乎存在研究空白。我们在本文中解决的主要研究问题是如何在基于游戏的学习环境中评估加速学习?本文的主要贡献将是评估游戏加速学习(ALF)的框架。我们将通过描述挪威工业项目ALTT(技术加速学习)中进行的研究来说明此框架的使用,该研究旨在提高铝工业的能力,
更新日期:2019-09-20
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