The generation, use, and analysis of educational data comes with many promises and opportunities, especially where digital materials allow usage of learning analytics (LA) as a tool in data-based decision-making (DBDM). However, there are questions about the interplay between teachers, students, context, and technology. Therefore, this paper…

Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…

In recent years, the use of student data has become increasingly concerned with management of teacher performance. However, when teachers become aware of specific student data directly related to their approach of teaching, it could inform them about possible strengths, weaknesses or challenges. Unfortunately, teachers generally have little time…

Student evaluation committees play a crucial role in internal quality assurance processes as representatives of the student body. However, the students on these committees sometimes experience difficulty in providing constructive and structured feedback to faculty in an environment characterised by a strong power differential between student and…

The data team intervention was designed to support Dutch secondary schools in using data while developing a solution to an educational problem. A data team can build school-wide capacity for data use through knowledge sharing among data team members, and knowledge brokerage between the team and other colleagues. The goal of this mixed-methods…

Data-based decision-making has the potential to increase student achievement results. Data-based decision-making can be defined as teachers' systematic analysis of data sources in order to study and adapt their educational practices for the purpose of maximizing learning results. Teachers must apply the findings from their data use to their…

In the present study, complex dynamic systems theory and interpersonal theory are combined to describe the teacher-student interactions of two teachers with different interpersonal styles. The aim was to show and explain the added value of looking at different steps in the analysis of behavioral time-series data (i.e., observations of teacher and…

Despite growing international interest in the use of data to improve education, few studies examining the effects on student achievement are yet available. In the present study, the effects of a two-year data-based decision-making intervention on student achievement growth were investigated. Fifty-three primary schools participated in the project,…

Inquiry-based science education (IBSE) has been promoted as an inspiring way of learning science by engaging pupils in designing and conducting their own scientific investigations. For primary school teachers, the open nature of IBSE poses challenges as they often lack experience in supporting their pupils during the different phases of an open…

Purpose: While empowerment for sustainability is considered a major objective within sustainability-oriented educational programs and policies, little is known about the actual process of empowering students for sustainability through higher education. This study aims to explore this field, by introducing the EYE (Educating Yourself in…

Education, science, and technology disciplines are closely and extensively connected in all formats and levels. The outbreak of COVID-19 has further squeezed this interconnection where the delivery of education in different scientific fields of studies at all education levels is almost impossible without the presence of technology. Today, there is…

Most teacher educators who work at institutes for higher vocational education have faced a new role since the European Community aimed to upgrade the general quality of education. Research tasks have been added as a new important core business for institutes that used to be mainly focused on education. Teacher educators therefore have to become…

The term "data snooping" refers to the practice of choosing which statistical analyses to apply to a set of data after having first looked at those data. Data snooping contradicts a fundamental precept of applied statistics, that the scheme of analysis is to be planned in advance. In this column, the authors shall elucidate the…

Central in this study is the relationship between the pedagogical approach and generic skill development in the first 10 weeks at university, students' perception of the fit between secondary and university education and first-year achievement. Information regarding the pedagogical approach and generic skill development was gathered through…

This meta-analysis examines the effects of family literacy programs on children's literacy development. It analyzes the results of 30 recent effect studies (1990-2010), covering 47 samples, and distinguishes between effects in two domains: comprehension-related skills and code-related skills. A small but significant mean effect emerged (d = 0.18).…