Learning analytics in training simulators: a systematic review of literature

被引:0
作者
Lanzillotta, Franco [1 ]
Maris Massa, Stella [1 ]
Tomas Spinelli, Adolfo [1 ]
机构
[1] Univ Nacl Mar del Plata, Grp Invest Tecnol Interact, Fac Ingn, Mar Del Plata, Argentina
来源
2020 IEEE CONGRESO BIENAL DE ARGENTINA, ARGENCON | 2020年
关键词
learning analytics; serious games; simulators; human-computer interaction; VIRTUAL-REALITY;
D O I
10.1109/ARGENCON49523.2020.9505456
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The use of simulators for training enables teaching without incurring operational costs and without the inherent risks of the real scenario. However, for the evaluation of learning to be effective, it is necessary for the system to provide feedback about learner performance. The incorporation of Learning Analytics allows both the trainee and his instructor to analyze the results of the interactions within the simulation. In this article, the foundations available in the literature about the integration of Learning Analytics in Training Simulators have been studied. A review protocol has been defined and, based on the articles found, the previously asked research questions have been answered.
引用
收藏
页数:5
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