No abstract

This paper is part of a master‘s thesis which dealt with implementation of gamification in an online course offered by Judicial School at São Paulo Regional Labour Court. The question of this paper is to review relevant literature about benefits and pitfalls of gamification in learning contexts to propose a framework for implementing gamification in Moodle 2.5. The objective of this paper is to compare the creation of a framework of an online course without game elements with its gamified version with elements that can motivate and engage people in online learning contexts, such as activity completion, restricted access, progress bar block, badges, and jeopardy-like quizzes. After implementing these features in an existing online course without gamification, the main results are that it is feasible to implement simple game mechanics in Moodle 2.5, although it takes a long time to create some of them, such as badges, and it is mandatory to have knowledge of development if the course demands Moodle documentation to create a more complex gamification block.

The objective of this research was to analyze the effect of gamification on intention to use online training from the partial validation of the UTAUT model for qualification of members and servers of the Regional Labor Court of the 2nd Region (TRT-2). The study analyzed the relationship between constructs performance expectancy, effort expectancy, facilitating conditions, and familiarity with the intention to use gaming in distance media.  This was conducted through an empirical application, which used the Structural Equation Modeling (SEM) for data analysis. The research was a single cross-sectional survey, carried out with TRT-2 members and servers who participated in the distance-feeding course ‘Healthy Living’ in 2015. Of the four hypotheses, only familiarity (F) was not significant as it did not serve as a behavioral intentions (BI) predictor of gamification for distance learning courses. Some explanations for such phenomenon may be career promotion and additional qualifications, learning by doing and sample size. The results confirmed that most hypotheses have a high statistical significance of the structural paths and have demonstrated that the model proposed in this study is consistent and can be applied in future studies with appropriate adjustments.