From the end of the 1970s, all teacher education programmes have been a part of academic higher education in Finland. Thus, TE has been implemented in universities and all Finnish comprehensive and upper-secondary school teachers have a master's degree. Research methods courses have been an essential part of teacher education courses for over 40…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…

This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…

Teacher self-efficacy has predominantly been explored using quantitative instruments such as Likert scales-based questionnaires. Several researchers have questioned these methods, suggesting they offer only a limited view of the concept. This paper considers their claim by exploring the self-efficacy of UK secondary science teachers participating…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

This paper discusses issues in the development of a methodology appropriate for eliciting sound quantitative data from primary school children in the complex contexts of ethnolinguistically diverse developing countries. Although these issues often occur in field-based surveys, the large extent and compound effects of their occurrence in…

This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…

There have been many attempts over the last five decades to measure students' attitudes towards school science. Many of these studies investigated attitudes towards limited aspects of science and utilized large numbers of items to draw snapshot summaries of the educational landscape. An understanding of attitudes towards science, and how these…

Improving academic, behavioural, and social outcomes of students through empirical research has been a firm commitment among researchers, policy-makers, and other professionals in education across Europe and the United States (U.S.). To assist in building scientific evidences, executive bodies such as the European Commission and the Institute for…

There has never been a published discursive review of equity measurement methodology in educational effectiveness research, though the literature on equity is growing. This paper sets out several indices that have the potential to measure it in terms of pupil attainment or in terms of how far a school (or group of schools) is from having a…

This paper presents the experiences and lessons learnt during the design and implementation of the randomized impact evaluation (IE) of a reading to learn (RtL) intervention in early primary grades. The study was to assess the impact of RtL on literacy and numeracy among pupils in low-performing districts in East Africa. The intervention was…