| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | e-Tutor : scaling staff development in the area of e-Learning competences |
| Authors: | Rapp, Christian Gülbahar, Yasemin |
| DOI: | 10.1145/2876034.2893401 |
| Proceedings: | Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S '16 |
| Page(s): | 327 |
| Pages to: | 328 |
| Conference details: | ACM Conference on Learning, Edinburgh, Scotland, 25-26 April 2016 |
| Issue Date: | 2016 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| ISBN: | 9781450337267 |
| Language: | English |
| Subjects: | E-Learning; E-Competence; E-Tutoring; Faculty development |
| Subject (DDC): | 371: Schools and their activities |
| Abstract: | Faculty development in the area of emerging technologies is demanding and resource intensive. This increases when aiming to qualify instructors to support their teaching virtually, e.g. in blended- and distance learning environments. Most elements of instructional design, delivery, and assessment require rethinking for technology integration. It is also a challenge to develop a sound instructional design model and corresponding teaching materials for courses aimed at developing the necessary skills and competences among staff. With “e-Tutor” a corresponding certificate course was developed at Ankara University, Turkey, a country for which, due to its geographical size and population, e-Learning is now highly popular. Under a project funded by the Swiss National Science Foundation, the course was translated into English, Russian, and Ukrainian, and then made accessible as an Open Educational Resource under Creative Commons Licence. Delivered in Turkish since 2011 with 350 participants, the course has also been successfully conducted with 300 participants from 11 countries in English, and with 320 participants in Ukrainian. This paper will briefly introduce the course design and its resources, before addressing to what extent it allows for scaling effects in staff development. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/9504 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Management and Law |
| Organisational Unit: | Center for Innovative Teaching and Learning (ZID) |
| Appears in collections: | Publikationen School of Management and Law |
Files in This Item:
There are no files associated with this item.
Show full item record
Rapp, C., & Gülbahar, Y. (2016). e-Tutor : scaling staff development in the area of e-Learning competences [Conference paper]. Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16, 327–328. https://doi.org/10.1145/2876034.2893401
Rapp, C. and Gülbahar, Y. (2016) ‘e-Tutor : scaling staff development in the area of e-Learning competences’, in Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16. Association for Computing Machinery, pp. 327–328. Available at: https://doi.org/10.1145/2876034.2893401.
C. Rapp and Y. Gülbahar, “e-Tutor : scaling staff development in the area of e-Learning competences,” in Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16, 2016, pp. 327–328. doi: 10.1145/2876034.2893401.
RAPP, Christian und Yasemin GÜLBAHAR, 2016. e-Tutor : scaling staff development in the area of e-Learning competences. In: Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16. Conference paper. Association for Computing Machinery. 2016. S. 327–328. ISBN 9781450337267
Rapp, Christian, and Yasemin Gülbahar. 2016. “E-Tutor : Scaling Staff Development in the Area of E-Learning Competences.” Conference paper. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16, 327–28. Association for Computing Machinery. https://doi.org/10.1145/2876034.2893401.
Rapp, Christian, and Yasemin Gülbahar. “E-Tutor : Scaling Staff Development in the Area of E-Learning Competences.” Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S ’16, Association for Computing Machinery, 2016, pp. 327–28, https://doi.org/10.1145/2876034.2893401.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.