评估工业加速学习的框架

S. A. Petersen, M. Oliveira, K. Hestetun, Anette Østbø Sørensen
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引用次数: 2

摘要

长期以来,游戏一直被认为是支持有效学习、激励学习者和加速他们学习的一种手段。文献中报道了一些使用基于游戏的学习的成功研究。然而,在系统地评估游戏环境中的加速学习方面似乎存在研究缺口。我们在本文中要解决的主要研究问题是,我们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一个评估游戏加速学习(ALF)的框架。我们将通过描述在挪威工业项目ALTT(通过技术加速学习)中进行的研究来说明该框架的使用,该项目旨在铝工业的能力建设,我们在其中共同设计了一个游戏,用于加速学习用于提取铝的电解过程和铝生产单元中的热平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALF - a Framework for Evaluating Accelerated Learning in Industry
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.
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