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Previous research has revealed that teachers’ regulation activities in schools are most relevant for sustainable school improvement. However, previous studies have severe methodological and theoretical shortcomings. This paper presents the results of a mixed-method case study at four lower secondary schools, in which we developed a framework for understanding regulation activities and processes in schools and analyzed teachers’ regulation activities by using time sampling data of teachers’ performance-related and situation-specific day-to-day activities over 3 weeks. Our results revealed that teachers engage in regulation activities only relatively seldom. Significant differences between teachers were found that are systematically related to the teachers’ specific roles in the school. Teachers rated their regulation activities as especially beneficial for teaching, student learning, and teachers’ learning but as less beneficial for team and school development. Small differences between schools were identified. Further, the results revealed significant correlations between teachers’ perceived benefit of the daily activities and teachers’ daily satisfaction. Based on the results, it can be concluded that the newly developed method appears to be suitable for recording teachers’ daily regulation activities in a (relatively) valid manner and, consequently, for use as a complement to existing instruments. Limitations are discussed, and the need for further research is described.

School-external expectations regarding implementation of reforms and innovations often do not lead to successful school improvement processes in schools. To better understand these processes in schools, this paper aims to investigate school improvement processes on a deep level by focusing on cognitive, metacognitive, and motivational regulation strategies used by school teams and by exploring what school-external and school-internal factors are related to this strategy use. Principals, teachers, and specialist teachers ( N = 1328) at 59 primary schools responded to an online questionnaire indicating their school’s use of regulation strategies on school improvement. Results from descriptive, variance, and hierarchical multiple regression analyses revealed that school teams use all forms of school-based regulation strategies but that schools differ significantly in their strategy use. These differences were mainly explained more by school-internal deeper structures (e.g., task cohesion) and less by school-internal surface structures (e.g., school size) and not at all by school-external factors (e.g., governance systems).

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Previous findings on the preconditions of teachers’ collaboration are inconsistent. This might be related to the research methods used to assess the teachers’ collaborative practice. Retrospective assessments by self-report on a relatively general level prevail. The validity of these self-reports is limited, however. In contrast, time-sampling methods have the potential to investigate collaborative practice specifically and longitudinally as a day-to-day process over time validly. But to date, no research on collaborative activities in schools based on time-sampling methods is available. In this study, we extended the current state of research by analysing the variability and preconditions of teachers’ collaboration at four secondary schools over three weeks based on time-sampling data collected by a newly developed online practice log. Recorded were collaborative activities outside of teaching with a focus on administrative and organisational tasks and on school subject-specific tasks. The results revealed that teachers’ collaborative activities varied significantly between weekdays, showing a linear decrease from Monday to Friday, regardless of the content of collaboration. Collaboration that focused on administrative-organisational tasks seemed to be quite stable over the weeks and was hardly influenced by teachers’ individual characteristics. Instead, collaborative activities that focused on school subject-specific tasks varied significantly between weeks; moreover, they were influenced by teachers’ leadership role and gender. The results indicate that rather stable routinised patterns of day-to-day collaboration over the weeks decrease the influence of teachers’ individual characteristics. Hence, by collecting data that is closer to content-specific day-to-day collaborative activities, time-sampling methods can be seen as a driver for new insights.