The introductory phase of studying physics poses a wide range of challenging problems to new students. One of them is learning physics on a new, more abstract and highly mathematised level, at high speed, in a lowly regulated learning environment. While several German universities have taken action to mitigate these problems, much knowledge about…

A great number of studies have investigated science teaching and learning (STL) using data from the Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA). Nevertheless, there is little effort to synthesise these studies. Reviewing the status of research on STL, including the trends,…

Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…

For scholars and policy-makers alike, deeper learning has been a promising paradigm for fostering students' interest in and mastery of science, technology, engineering, and mathematics (STEM). Deeper learning is assumed to result in a more thorough understanding of a subject that endures the test of time. To reach this level, a fascination with…

The need for renewable and non-fossil fuels is now recognised by nations throughout the world. Consequently, an understanding of alternative energy is needed both in schools and in everyday life-long learning situations. This study developed a two-tier instrument to diagnose students' understanding and alternative conceptions about alternative…