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Pöysä-Tarhonen, Johanna; Elen, Jan; Tarhonen, Pasi – Higher Education Research and Development, 2016
Current discussions in higher education and alumni training acknowledge the challenges training programs face in responding to the authentic needs of the labor market. In addition to academic knowledge, higher education institutions are expected to provide general twenty-first-century skills, such as problem-solving, critical thinking,…
Descriptors: Higher Education, Teamwork, Communication Skills, College Students
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Pokropek, Artur – Journal of Educational and Behavioral Statistics, 2016
A response model that is able to detect guessing behaviors and produce unbiased estimates in low-stake conditions using timing information is proposed. The model is a special case of the grade of membership model in which responses are modeled as partial members of a class that is affected by motivation and a class that responds only according to…
Descriptors: Reaction Time, Models, Guessing (Tests), Computation
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Ning, Bo; Van Damme, Jan; Gielen, Sarah; Vanlaar, Gudrun; Van den Noortgate, Wim – Scandinavian Journal of Educational Research, 2016
Finland and Shanghai are strong performers in the Program for International Student Assessment (PISA). The current study explored the similarities and differences in educational effectiveness between these 2 strong performers. To this end, 14 predictors representing student background and school process characteristics were selected from the PISA…
Descriptors: Foreign Countries, Reading Achievement, Comparative Education, Instructional Effectiveness
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Tolvanen, Asko; Kiuru, Noona; Leskinen, Esko; Hakkarainen, Kai; Inkinen, Mikko; Lonka, Kirsti; Salmela-Aro, Katariina – International Journal of Behavioral Development, 2011
This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression…
Descriptors: Monte Carlo Methods, Computation, Longitudinal Studies, Teaching Methods