Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic self-concept, and perceived level of understanding are conceptually and empirically distinct self-appraisals of academic competence which have a different impact on student motivation, learning, and academic performance. Furthermore, the current study suggests that students reflecting high scores on the four measures of self-perceived competence, are more persistent, more likely to adopt mastery and/or performance approach goals, less anxious, process the learning material at a deeper level, and achieve better study results. However, this study also warns that high self-perceived competence (e.g., perceived level of understanding), if not accompanied by a mastery goal orientation, can turn into overconfidence resulting in lower persistence levels and poorer study results.
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When studying the acquisition of social-communicative competence, it is important to take students' individual learning theories into account. Increased insight into the role ILTs play can be of help in improving social work education.
We explored how two types of study outcomes, perceived competence and earned credits, are interrelated, and influenced by self-regulation, motivation (intrinsic value and expectancy of procrastination) and deep approach to learning. The relationships between these variables were analysed in a sample of 894 first-year Dutch university students, using linear structural modelling. Results show that learning process factors play other roles in explaining perceived competence than in explaining earned credits. Perceived competence and earned credits, as two sides of the same coin in competence-based education, are only weakly related. Furthermore, this study shows that it is most likely that perceived competence affects earned credits, but a model in which earned credits affects perceived competence as possible causal relationship was also accepted, although the relationship remains weak. The practical implication of this study is that, as long as perceived competence and the number of credits are not related, competence-based higher education will not obtain optimal efficiency. For participants and researchers in higher education, it remains important to be aware that different learning goals may evoke different study behaviours in students, and the challenge for higher education is to align these goals.
