The study revealed that the Maslach Burnout Inventory-Student Survey and the Utrecht Work Engagement Scale
had high internal consistency coefficients. However, future studies will focus mainly on the psychometric properties
of the translated versions of the two instruments. The results regarding the associations between motivation,
engagement and burnout are consistent with the research in the field, although the relation between academic
performance and burnout needs further exploration. The current study focused on the relationships among
motivation, engagement and burnout at a single point in time. A longitudinal study would evaluate the stability of
these relationships over time. Future research will consider the predictive validity of these instruments, trying to
identify the factors which predict burnout; previous research indicated that perfectionism, previous academic
achievement (Zhang, Gan, & Cham, 2007), and social support (Yang, 2004) could predict burnout.The overall
results of this study highlight the possibility to identify students who are at risk regarding their high level of burnout.
This is one of the main implications of the study, given that burnout and disengagement are the most important
predictors of academic dropout.