gms | German Medical Science

Jahrestagung der Gesellschaft für Medizinische Ausbildung (GMA)

26.09. - 28.09.2013, Graz, Österreich

OnlineTED.de – a novel smartphone-based audience response system for higher education

Poster

Suche in Medline nach

  • Felizian Kühbeck - Technische Universität München, München, Deutschland
  • Stefan Engelhardt - Technische Universität München, München, Deutschland
  • corresponding author Antonio Sarikas - Technische Universität München, München, Deutschland

Jahrestagung der Gesellschaft für Medizinische Ausbildung (GMA). Graz, 26.-28.09.2013. Düsseldorf: German Medical Science GMS Publishing House; 2013. DocP01_04

doi: 10.3205/13gma004, urn:nbn:de:0183-13gma0047

Veröffentlicht: 20. August 2013

© 2013 Kühbeck et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Background and aim: Audience response (AR) systems are increasingly used in undergraduate medical education. However, high costs and complexity of conventional AR systems often limit their use. Here we present a novel AR system that platform independent, free-to-use and does not require hardware clickers or additional software.

Methods and results: OnlineTED.de was developed at Technische Universität München (TUM) based on PHP with a MySQL-database as server- and Javascript as client-side programming languages. Lecturer can create, manage question sets online and start polls in-class via any webbrowser at http://www.onlineted.de. Students can participate in the polls with any internet-enabled device (smartphones, tables-PCs or laptops). A survey conducted with undergraduate medical students and lectures at TUM showed above average evaluation results when compared with conventional AR systems using clickers.

Summary and Conclusions: OnlineTED.de is a novel web-based and platform independent AR system for higher education that was well received by students and lectures. As non-commerical alternative to conventional AR-systems it will likely help to foster interactive teaching in undergraduate medical education, in particular at institutions or countries with limited resources.