Detecting the Variability in Student Learning in Different Disciplines-A Person-Oriented Approach

This paper examines disciplinary differences in the combinations of approaches to learning (i.e., learning profiles) among students, and how those combinations are related to academic achievement. In addition, the study focuses on how different learning profiles are related to students' self-efficacy beliefs in different disciplines. Data consist of HowULearn survey responses from 4,294 full-time students from six different disciplines. We used a person-oriented approach; that is, the latent profile analysis (LPA) with various functions. The results showed that it is possible to detect different learning profiles of students in different disciplines. The study highlights that students who struggle in almost every discipline have a dissonant learning profile or the deep unorganised profile. Therefore, special attention should be paid to identifying the students with dissonant learning profiles and to support them in recognising their own learning processes. Moreover, students' time and effort management skills should be fostered during university studies.