Mobile Learning – Begriff, Modelle, Forschung

Der vorliegende Übersichtsartikel betrachtet Mobile Learning aus einer pädagogisch-psychologischen und didaktischen Perspektive. Mobile Learning (M-Learning), das seit Mitte der 1990er in unterschiedlichsten Kontexten Einzug in den Bildungssektor hielt, ist ein dynamisches und interdisziplinäres Feld. Dynamisch, weil M-Learning durch die rasche Entwicklung im Bereich der Informations- und Kommunikationstechnologie, wie kaum ein anderes Forschungsfeld, einem derart großen Wandel unterworfen ist. Interdisziplinär, weil durch das Zusammentreffen von mobiler Technik und Lernen auch unterschiedliche Fachdisziplinen betroffen sind. Die verschiedenen Sichtweisen und auch die Komplexität des Feldes haben dazu geführt, dass bis heute keine einheitliche Definition des Begriffs besteht. Ziel dieses Übersichtsartikels ist es, den aktuellen Forschungsstand aus didaktischer und pädagogisch-psychologischer Sicht aufzuzeigen. Dazu werden zunächst wichtige Komponenten des M-Learning-Begriffs herausgearbeitet und daran anschließend didaktisch bedeutsame theoretische Ansätze und Modelle vorgestellt sowie kritisch betrachtet. Basierend auf dieser theoretischen Ausgangslage wird dann ein Rahmen gezeichnet, der verdeutlichen soll, wo empirische Forschung aus didaktischer und pädagogisch-psychologischer Sicht ansetzen kann. Entsprechende empirische Studien werden ebenfalls vorgestellt, um einen Eindruck des aktuellen empirischen Forschungsstandes zu geben. Dies alles soll als Ausgangspunkt für den zukünftigen Forschungsbedarf dienen.

ModelDB in Computational Neuroscience Education - A research tool as interactive educational media

ModelDB's mission is to link computational models and publications, supporting the field of computational neuroscience (CNS) by making model source code readily available. It is continually expanding, and currently contains source code for more than 300 models that cover more than 41 topics. Investigators, educators, and students can use it to obtain working models that reproduce published results and can be modified to test for new domains of applicability. Users can browse ModelDB to survey the field of computational neuroscience, or pursue more focused explorations of specific topics. Here we describe tutorials and initial experiences with ModelDB as an interactive educational tool.

Simbrain: A visual framework for neural network analysis and education

Simbrain is a visually-oriented framework for building and analyzing neural networks. It emphasizes the analysis of networks which control agents embedded in virtual environments, and visualization of the structures which occur in the high dimensional state spaces of these networks. The program was originally intended to facilitate analysis of representational processes in embodied agents, however it is also well suited to teaching neural networks concepts to a broader audience than is traditional for neural networks courses. Simbrain was used to teach a course at a new university, UC Merced, in its inaugural year. Experiences from the course and sample lessons are provided.

Special Issue: Interactive Educational Media for the Neural and Cognitive Sciences

Understanding the functioning of brains is an extremely challenging endeavour - both for researches as well as for students. Interactive media and tools, like simulations, databases and visualizations or virtual laboratories proved to be not only indispensable in research but also in education to help understanding brain function. Accordingly, a wide range of such media and tools are now available and it is getting increasingly difficult to see an overall picture. Written by researchers, tool developers and experienced academic teachers, this special issue of Brains, Minds & Media covers a broad range of interactive research media and tools with a strong emphasis on their use in neural and cognitive sciences education. The focus lies not only on the tools themselves, but also on the question of how research tools can significantly enhance learning and teaching and how a curricular integration can be achieved. This collection gives a comprehensive overview of existing tools and their usage as well as the underlying educational ideas and thus provides an orientation guide not only for teaching researchers but also for interested teachers and students.

Towards a more effective model for distance education

What is the most effective model for academic distance education, given that drop-out numbers in traditional distance education institutions are too high and the demands from the various stakeholders are changing? In this paper this question is answered from the perspective of the Open University of the Netherlands (OUNL). The OUNL has planned to redesign its educational model from the traditional guided self-study model towards a model of active online learning. In essence this means that education will be less content driven; more focus is put on activating students to engage with real world problems supported by tutors and peers using distance media. The drivers for change, the change process and the resulting redesign of the educational model are presented in this paper.