Costs and benefits of autonomy when learning a task: an experimental approach

Previous findings suggested that the positive relationship between autonomy and learning outcomes (such as improved task performance) only holds up until a certain optimum level of autonomy has been reached. This assumption was investigated in an experimental study where 95 participants had to learn a computer task. During the learning phase, we manipulated autonomy, distinguishing among no, moderate, and full autonomy. The results revealed that, when learning a task, having autonomy is preferred to having no autonomy. However, increases in autonomy beyond a certain level (i.e., full versus moderate autonomy) will not yield additional advantages regarding the motivation to learn and learning outcomes, and may have disadvantages in terms of learning efficiency.     

Workers' personal initiative as a moderator of the relations between job characteristics and well-being

Having personal initiative means that workers are self-starting, pro-active, and persistent in pursuing their goals. This study examined whether personal initiative contributed to the prediction of two aspects of well-being (emotional exhaustion and learning motivation). Personal initiative was expected to have direct effects on well-being as well as moderate the effects of relevant work characteristics such as job demands and control. As expected, stepwise hierarchical regression using data from 834 Dutch telecommunications workers yielded positive main effects of personal initiative on both aspects of well-being. Moreover, personal initiative moderated the relationship between control and learning motivation: the positive effect of control on learning motivation was stronger for workers with high initiative. These findings support the hypothesis that personal initiative is a predictor of well-being.