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Østergaard, Jeanette; Thomson, Rachel – International Journal of Social Research Methodology, 2020
Mixed methods longitudinal studies continue to be rare, yet have potential for transcending the limits of qualitative and quantitative paradigms. This article compares the life stories of 47 young people generated from a cohort study of 6000 children born in 1995. The cases were sampled through an association between two variables--drug use and…
Descriptors: Longitudinal Studies, Correlation, Dropouts, Social Action
Lykkegaard, Eva; Ulriksen, Lars – International Journal of Science Education, 2016
During the past 30 years, Eccles' comprehensive social-psychological Expectancy-Value Model of Motivated Behavioural Choices (EV-MBC model) has been proven suitable for studying educational choices related to Science, Technology, Engineering and/or Mathematics (STEM). The reflections of 15 students in their last year in upper-secondary school…
Descriptors: Secondary School Students, STEM Education, Foreign Countries, Reflection
Lueg, Rainer; Lueg, Klarissa; Lauridsen, Ole – Studies in Higher Education, 2016
Changes in public policy, such as the Bologna Process, require students to be equipped with multifunctional competencies to master relevant tasks in unfamiliar situations. Achieving this goal might imply a change in many curricula toward deeper learning. As a didactical means to achieve deep learning results, the authors suggest reciprocal peer…
Descriptors: Seminars, Peer Teaching, Tutoring, Outcomes of Education
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers