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@PHDTHESIS{Ali:978511,
author = {Ali, Lubna Kamel Nazih},
othercontributors = {Schroeder, Ulrik and Ebner, Martin},
title = {conv{OER}ter: a technical assistance tool to support
semi-automatic conversion of images in educational materials
as {OER}},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2024-01352},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2024},
abstract = {Open Educational Resources (OER) are seen as an important
element in the process of digitizing higher education
teaching and as essential building blocks for openness in
education. They can be defined as teaching, learning, and
research materials that have been made openly available,
shareable, and modifiable. OER include different types of
resources such as full courses, textbooks, videos,
presentations, tests, and images, which are usually
published under the open Creative Commons licences. OER can
play an important role in improving education by
facilitating access to high quality digital educational
materials. Accordingly, there is a steady increase among
higher education institutions to participate in the
so-called “open movement” in general and in utilizing
OER in particular. Nevertheless, there are many challenges
that still face the deployment of OER in the educational
context. One of the main challenges is the production of new
OER materials and converting already existing materials into
OER, which could be viable by qualifying educators through
training courses and/or supporting them with specific tools.
There are many platforms and tools that support the creation
of new OER content. However, to our knowledge, there are no
tools that perform fully- or semi-automatic conversion of
already existing educational materials. This identified gap
was the basis for the design and implementation of the OER
conversion tool (convOERter). The tool supports the user by
semi-automatically converting educational materials
containing images into OER-compliant materials. The main
functionality of the tool is based on reading a file,
extracting all images as well as all possible metadata, and
substituting the extracted images with OER elements in a
semi-automated way. The retrieved OER images are referenced
and licenced properly according to the known TASLL rule.
Finally, the entire file is automatically licenced under
Creative Commons excluding specific elements from the entire
licence such as logos. In order to evaluate the
effectiveness of the tool in promoting the use of OER, a
comprehensive user study was conducted with educators and
OER enthusiastic at different universities. The study was
accomplished by offering a series of OER evaluation
workshops to compare the conversion efficiency of the tool
with manual conversion. The results show that using the
conversion tool improves the conversion process in terms of
speed, license quality, and total efficiency. These results
highlight that the tool can be a valuable addition to the
community, especially for users less experienced with OER.
As a future work, it is intended to further develop the tool
and improve its functionality. Additionally, a long-term
study can be conducted to assess the impact of the tool in
facilitating and enhancing the production of OER on a larger
scale.},
cin = {122420 / 120000},
ddc = {004},
cid = {$I:(DE-82)122420_20140620$ / $I:(DE-82)120000_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2024-01352},
url = {https://publications.rwth-aachen.de/record/978511},
}
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