Quality of OER from the Perspective of Lecturers – Online Survey of Quality Criteria for Quality Assurance

Autor(en): Reinken, C.
Greiff, P.
Draxler-Weber, N.
Hoppe, U. 
Herausgeber: Buchmann, R.A.
Polini, A.
Johansson, B.
Karagiannis, D.
Stichwörter: Digitalization; Digitisation; E-learning; Educational materials; High educations; High quality; Higher education; Online surveys; Open Educational Resources; Quality criteria; Quality measurement; Quality measurements; Quality requirements, Quality assurance; Surveys, Digitalization
Erscheinungsdatum: 2021
Herausgeber: Springer Science and Business Media Deutschland GmbH
Journal: Lecture Notes in Business Information Processing
Volumen: 430
Startseite: 36
Seitenende: 50
Zusammenfassung: 
The trend of digitization at universities has increased as a result of the Corona pandemic. Universities and teachers were forced to undertake a digital restructuring in a short period of time. Teaching had to be digitized, so interest in digital educational materials continued to grow. Open Educational Resources (OER) offer great potential in this context due to their digital format and usability across universities. When using as well as creating such free educational materials, lecturers have to check the quality of the OER due to individual quality requirements. For this reason, special attention should be paid to how quality assurance can be measured. There are already numerous models for quality assurance, which differ in terms of their complexity and level of detail. Zawacki-Richter and Mayrberger have conducted a comparison of these models and developed an adapted model based on their findings. By including lecturers, as a relevant stakeholder group, this model will be verified. Lecturers can be seen as exporters or importers of OER. Whether something is high quality depends on the needs of each user, their tasks and processes, so quality requirements can vary with the respective role. The aim is to investigate which quality criteria lecturers think OER should fulfill in order to be of high quality. For this purpose, an embedded mixed method (EMM) survey of lecturers was conducted, in which the different roles of a lecturer were also distinguished. © 2021, Springer Nature Switzerland AG.
Beschreibung: 
Conference of 20th International Conference on Business Informatics Research, BIR 2021 ; Conference Date: 22 September 2021 Through 24 September 2021; Conference Code:265219
ISBN: 9783030872045
ISSN: 18651348
DOI: 10.1007/978-3-030-87205-2_3
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115444736&doi=10.1007%2f978-3-030-87205-2_3&partnerID=40&md5=e4bcf0e91a63236160c0153e5ca69197

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