The adoption of technology in teaching has been identified to relate to various factors from attitudes and self-efficacy to subjective norms and digital references. The aim of this study is to broaden the perspective to hierarchical grouping effects. Multilevel modelling of the study utilizes the data of 2355 Finnish basic education teachers. The…

The present study investigated students' (N = 404) interpretations of the main message and use of modes in a persuasive multimodal video on vaccines. It also examined whether students' topic knowledge, language arts grades, and self-identified gender were associated with their interpretations. Students analyzed a YouTube video in which two…

Teachers play a key role in transforming the national curriculum reform into classroom practice. This study explored individual variation in Finnish teachers' (N = 901) perceptions of curriculum coherence during a one-year follow-up during the early stages of its implementation in schools. Latent profile analysis revealed five distinctive…

In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…