195 research outputs found

    Der Qualitätspakt E-Learning im Hochschulpakt 2020

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    Der vorliegende Tagungsband beinhaltet die Artikel zu den Vorträgen auf der GML² 2014 und eine Sammlung der zu der Tagung eingereichten Abstracts. Wir danken allen Referierenden für ihre anregenden Vorträge auf der Tagung und ihre Artikel für den Tagungsband, allen Vortragenden in den Workshops der Pre- Conference für ihre Beiträge und allen Einreichenden für das Zur-Verfügung- Stellen ihrer Abstracts für den Tagungsband

    Mediendidaktik

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    Wie können Medien sinnvoll Lehr- und Lernprozesse unterstützen? Die Autoren geben einen kompakten Überblick von den ersten mediendidaktischen Ansätzen bis zu gegenwärtigen Trends des E-Learning und Mobile Learning. Behandelt werden - kontextunabhängig und grundlegend - die Funktionen von Medien sowie die didaktischen Methoden für einen Lernerfolg versprechenden Einsatz von Medien. Der Studientext geht insbesondere auf Potenziale ein, die digitale Medien für Lehr- und Lernprozesse Erwachsener bieten, und orientiert sich dabei an den Bedürfnissen und Fragestellungen der Zielgruppe. Auf Basis aktueller Erkenntnisse der Medienforschung wird das zur Gestaltung medienbasierter Weiterbildungsangebote benötigte Hintergrund- und Handlungswissen vermittelt. Didaktisch aufbereitete zusätzliche Lernmaterialien finden Sie unter Gratisdownload.How may media be used to support the teaching and learning processes in a sensible way? The authors provide a succinct overview from the first media-didactic approaches to the current trends of e-learning and mobile learning. The publication deals with the functions of media irrespective of context and in a basic manner as well as with the didactic methods for the successful use of media to guarantee learning. The study text particularly refers to potentials, which digital media offer for the teaching and learning processes of adults and is thereby orientated to the needs and issues of the target group. On the basis of current insights into media research, the background and action knowledge required for the design of media-based further development provisions are communicated

    11. - 12. März 2010

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    Customizable teaching on mobile devices in higher education

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    Every teacher struggles with the student’s attention when giving a lecture. It is not easy to meet every single student at its knowledge level in a seminar group, and it becomes nearly impossible in huge university lectures with hundreds of students. With the spread of mobile devices among students, Audience Response Systems (ARS) proved as an easy and cheap solution to activate the audience and to compare the students’ real knowledge base with the lecturer’s estimation. Today, lecturers are able to choose between a huge variety of different ARSs. But as every lecturer has a very individual teaching style, he or she is not yet able to create or customize their individual audience response teaching scenario within a single system. The available systems are quite similar to each other and mostly support only a handful of different scenarios. Therefore, this work identified the abstract core elements of ARSs and developed a model to create individual and customizable scenarios for the students’ mobile devices. Teachers become able to build their individual application, define the appearance on the students’ phones in a scenario construction kit and even determine the scenario’s behavior logic. Two ARS applications were implemented and used to evaluate the model in real lectures for the last four years. A first ARS was integrated into the university’s learning management system ILIAS and provided lecturers with basic question functionalities, whereas a second and more advanced stand-alone version enabled lecturers to use personal scenarios in a variety of lecture settings. Hence, scenarios like quizzes, message boards, teacher feedback and live experiments became possible. The approaches were evaluated from a technical, student and lecturer perspective in various courses of different areas and sizes. The new model showed great results and potential in customization, but the implementation reached its limits as it lacked in performance scalability for complex scenarios with a large amount of students
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