Two related studies are reported in this article. The first aimed to analyse how academic discipline is related to university teachers’ approaches to teaching. The second explored the effects of teaching context on approaches to teaching. The participants of the first study were 204 teachers from the University of Helsinki and the Helsinki School of Economics and Business Administration and 136 teachers from the University of Oxford and Oxford Brookes University who returned university teaching inventories. Thus, altogether there were 340 teachers from a variety of disciplines in Finland and the UK. The second study involved only the Finnish sample. The results showed that there was systematic variation in both student‐ and teacher‐focused dimensions of approaches to teaching across disciplines and across teaching contexts. These results confirm the relational nature of teachers’ approaches to teaching and illustrate the need, in using inventories such as the Approaches to Teaching Inventory, to be explicit about the context.

This study explores how university students representing diverse disciplines and gender differ in their self‐regulation in learning. The definition of self‐regulated learning (SRL) in the present study is based on Pintrich’s and Zimmerman’s theories of SRL and comprises motivational and learning strategies. The sample consisted of 1248 undergraduate students at several Finnish universities. The data were retrieved from the IQ Learn online self‐assessment and tutoring system. Female students scored moderately higher than male students on help‐seeking strategies, utility value and on performance anxiety. Among the diverse disciplines, minor mean differences emerged on all the sub‐dimensions of SRL, though no clear regularity on any discipline’s favour was perceived. However, male and female students of behavioural sciences and female students of sciences scored highest consistently, and the technology students, especially the male students, scored lowest. In the future, the relations between the students’ self‐regulation in learning and instructional approach should be studied further.

The aim of this study was to explore the relationships between prior knowledge, academic self‐beliefs, and previous study success in predicting the achievement of 139 students on a university mathematics course. Structural equation modelling was used to explore the interplay of these variables in predicting student achievement. The results revealed that domain‐specific prior knowledge was the strongest predictor of student achievement over and above other variables included in the model and, together with previous study success, explained 55% of the variance. Academic self‐beliefs strongly correlated with previous study success and had a strong direct influence on prior knowledge test performance. However, self‐beliefs predicted student achievement only indirectly via prior knowledge. The results imply that both prior knowledge and self‐beliefs should be taken into account when considering instructional support issues, because they can provide valuable insights about the future performance of the students.