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.

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.

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.

'Neurons in Action' in Action - Educational settings for simulations and tutorials using NEURON

Neurons in Action (NIA1, 2000; NIA1.5, 2004; NIA2, 2007), a set of tutorials and linked simulations, is designed to acquaint students with neuronal physiology through interactive, virtual laboratory experiments. Here we explore the uses of NIA in lecture, both interactive and didactic, as well as in the undergraduate laboratory, in the graduate seminar course, and as an examination tool through homework and problem set assignments. NIA, made with the simulator NEURON (http://www.neuron.yale.edu/neuron/), displays voltages, currents, and conductances in a membrane patch or signals moving within the dendrites, soma and/or axon of a neuron. Customized simulations start with the plain lipid bilayer and progress through equilibrium potentials; currents through single Na and K channels; Na and Ca action potentials; voltage clamp of a patch or a whole neuron; voltage spread and propagation in axons, motoneurons and nerve terminals; synaptic excitation and inhibition; and advanced topics such as channel kinetics and coincidence detection. The user asks and answers "what if" questions by specifying neuronal parameters, ion concentrations, and temperature, and the experimental results are then plotted as conductances, currents, and voltage changes. Such exercises provide immediate confirmation or refutation of the student's ideas to guide their learning. The tutorials are hyperlinked to explanatory information and to original research papers. Although the NIA tutorials were designed as a sequence to empower a student with a working knowledge of fundamental neuronal principles, we find that faculty are using the individual tutorials in a variety of educational situations, some of which are described here. Here we offer ideas to colleagues using interactive software, whether NIA or another tool, for educating students of differing backgrounds in the subject of neurophysiology.

Distributed Repositories for Educational Content

As education providers increasingly integrate digital learning media into their education processes, the need for the systematic management of learning materials and learning arrangements becomes clearer. Digital repositories, often called Learning Object Repositories (LOR), promise to provide an answer to this challenge. This article is composed of two parts. In this part, we derive technological and pedagogical requirements for LORs from a concretization of information quality criteria for e-learning technology. We review the evolution of learning object repositories and discuss their core features in the context of pedagogical requirements, information quality demands, and e-learning technology standards. We conclude with an outlook in Part 2, which presents concrete technical solutions, in particular networked repository architectures.

Educational Television Broadcasting in Germany: Prevailing Practices, Existing Challenges and Adoptable Policies

Television is widely used for educational purposes but has still not achieved its fullest potential neither in developed nor in developing countries. This worldwide under performance invite experts and academics to join hands to search causes and provide suggestions to make television a better and popular learning tool. Guided by this philosophy, the present paper analyzes the educational television broadcasting in Germany from different perspectives. The focus of analysis includes measures and practices adopted by German institutions/broadcasters to promote educational television. Besides dealing with these issues, the paper discusses existing challenges and suggests best adoptable educational television broadcasting polices from Germany to promote educational television in global perspectives.