Auteur: Matthijs Koopmans

Ondersteuning
Matthijs Koopmans is Associate Professor and Assessment Coordinator at the School of Education at Mercy College. His professional interests include the application of complex dynamical systems approaches in education, cause and effect relationships and nonlinear time series. He published numerous research articles and book reviews in peer-reviewed journals including Evaluation and Program Planning; Nonlinear, Dynamics, Psychology and Life Sciences, and Complicity: An International Journal of Complexity in Education. He is one of the editors of Chaos and Complexity in Psychology: The Theory of Nonlinear Dynamics, published by Cambridge University Press in 2009. He earned his Doctorate in 1988 at Harvard Graduate School of Education. Dimitrios Stamovlasis is Assistant Professor of Research Methodology and Applied Statistics in Social Science at the Aristotle University, Department of Philosophy and Education. His research interests are interdisciplinary and they focus: on methodologicaland epistemological issues of contemporary social sciences that improve theory building; on nonlinear dynamics (complexity, catastrophe theory, entropy, and related fields) and their application to social, behavioral and life sciences; on specific research endeavors in the area of educational research concerning neo-Piagetian theories, learning, science education, problem solving, creativity and group dynamics. He published numerous research articles in peer-reviewed journals, and he served as a guest editor in the Special Issue of Nonlinear Dynamics, Psychology and Life Science (2014) focused on Nonlinear Dynamics in Education. He earned his Ph D at the University of Ioannina (2001) and he also holds a M.Sc. in Physical Chemistry from University of Hawaii, an MBA, and a M. Sc. in Statistics from University of Athens.




6 Ebooks door Matthijs Koopmans

Matthijs Koopmans & Dimitrios Stamovlasis: Complex Dynamical Systems in Education
This book capitalizes on the developments in dynamical systems and education by presenting some of the most recent advances in this area in seventeen non-overlapping chapters. The first half of the b …
PDF
Engels
€96.29
Matthijs Koopmans: Using Time Series to Analyze Long-Range Fractal Patterns
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar …
PDF
Engels
DRM
€38.99
Matthijs Koopmans: Using Time Series to Analyze Long-Range Fractal Patterns
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar …
EPUB
Engels
DRM
€38.99
Matthijs (Mercy College, USA) Koopmans: Using Time Series to Analyze Long-Range Fractal Patterns
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar …
EPUB
Engels
DRM
€32.13