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de Kraker-Pauw, Emmy; van Wesel, Floryt; Krabbendam, Lydia; van Atteveldt, Nienke – Journal of Adolescent Research, 2022
Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13- and 14-year olds hold about learning and intelligence, the factors influencing these beliefs, and the…
Descriptors: Student Attitudes, Intelligence, Gender Differences, Career Choice
Neeleman, Annemarie – Journal of Educational Change, 2019
In many countries, education systems are moving towards a combination of increased school autonomy and intensified accountability. In the wake of that shift, decision-making at the school level has become paramount, and the role of the school leader has gained in importance. Despite these trends, surprisingly little is known about how schools and…
Descriptors: Intervention, Classification, Institutional Autonomy, Accountability
van Geel, Marieke; Keuning, Trynke; Visscher, Adrie; Fox, Jean-Paul – Leadership and Policy in Schools, 2019
School leaders are assumed to be important for the implementation of data-based decision making (DBDM), but little is known about changes in leadership during this implementation. Educational leadership was measured before, during, and after a two-year, school-wide DBDM intervention in 96 primary schools. Advanced analysis techniques were applied:…
Descriptors: Instructional Leadership, Data Analysis, Intervention, Decision Making
van Rijn, P. W.; Beguin, A. A.; Verstralen, H. H. F. M. – Assessment in Education: Principles, Policy & Practice, 2012
While measurement precision is relatively easy to establish for single tests and assessments, it is much more difficult to determine for decision making with multiple tests on different subjects. This latter is the situation in the system of final examinations for secondary education in the Netherlands and is used as an example in this paper. This…
Descriptors: Secondary Education, Tests, Foreign Countries, Decision Making

van der Linden, Wim J. – 1986
Differences between traditional linear regression and a Bayesian approach to classification are discussed. Classification consists of assigning subjects to one of several available treatments on the basis of their test scores when the success of each treatment is measured by a different criterion. Formulating this problem as an empirical Bayes…
Descriptors: Achievement Tests, Bayesian Statistics, Classification, Decision Making
van der Linden, Wim J. – 1985
This paper reviews recent research in the Netherlands on the application of decision theory to test-based decision making about personnel selection and student placement. The review is based on an earlier model proposed for the classification of decision problems, and emphasizes an empirical Bayesian framework. Classification decisions with…
Descriptors: Bayesian Statistics, Classification, Cutting Scores, Decision Making
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