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This paper describes a study related to the learning of decision-making heuristics such as preference matrix, break-even point and decision tree from the perspective of using a computational tool. With their respective algorithms, a virtual learning environment through a mobile application (app) aimed at Engineering students was developed. To answer the research questions posed in this report, an empirical study was conducted to assess the effectiveness, efficiency and cost in solving decision-making problems with and without the use of the app. The results in this study suggest that the use of the app in learning decision-making skills facilitates the mathematical process for students, and that by using critical thinking competence, they can make assertive and accurate decisions considering different alternatives. [ABSTRACT FROM AUTHOR]

This article describes a configurable and computable instructional model based on gamification elements. The empirical evaluation of the model is also reported using the software engineering area as the scope of application. In the experimental study two treatments were compared: the traditional dynamics of using a paper document for the Performance Test, and the use of a Virtual Learning Environment configured based in the model; the dependent variables considered were time and score. From the statistical analysis it was possible to conclude that the students did not present significant differences in the scores obtained in both treatments; however, the time turned out to be a variable with significant differences. [ABSTRACT FROM AUTHOR]