Classical conceptualisations of self-regulated learning typically ignore the role of teaching strategies in real-world classrooms. Therefore, the present exploratory study aimed to examine the different clusters of perceived teaching strategies and students' metacognitive knowledge and experiences, and motivation. The data came from 6365 (49.63%…

Science excellence is associated not only with a student's inherent aptitude but also a range of contextual factors. The objective of this paper was to identify the most important contextual characteristics of top performers in scientific literacy, by simultaneously considering factors at the PISA questionnaire-based student, family, and school…

Not much is known about the ways in which assessment data have actually been used in education policy to date. Understanding the role of assessments in informing system-level decision-making is a first step towards helping stakeholders improve the design and usefulness of assessments. Moreover, this understanding can help to further discussions…

This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…

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…