Abstract
As e-learning formats become increasingly important, technological assistance becomes a critical factor for its implementation. The tool SlideWiki Presentation Rooms tries to combine the needs and functions of live interaction with the advantages of e-learning. To evaluate the acceptance of the tool a teaching experiment was conducted at an University of Applied Sciences. The results show, that the actual usage of a new blended-learning tool is more determined by the perceived usefulness than the ease of use and implicates further influence factors on students acceptance towards SlideWiki. They provide valuable insights for the successful implementation of blended-learning tools in higher education and need to be further examined in future studies.
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Data Deposition & Supplemental Online Material
SlideWiki itself is Open-Source and the source-code is hosted at https://github.com/slidewiki/. SlideWiki is officially hosted at https://slidewiki.org and includes the same feature set as the institutional one, used in this study.
Notes
- 1.
Moodle is a Learning Management System, see: https://moodle.de/.
- 2.
EvaSys evaluation system: https://en.evasys.de/main/add-ons-services/system-security-performance.html.
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Acknowledgements
This work was supported by the European Union’s Horizon 2020 program No 688095; the German Federal Ministry of Education and Research for the EVELIN project under grant No 01PL17022E; the German Federal Ministry of Education and Research for the tech4comp project under grant No 16DHB2102. The Authors thank Professor Philipp Brune for establishing their connection and his support in this study by including the tool in one of his lectures in summer term 2019. The authors are responsible for the content of this publication.
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Martin, A., Bergande, B., Meissner, R. (2020). Evaluating the Acceptance of Blended-Learning Tools: A Case Study Using SlideWiki Presentation Rooms. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_14
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