<div class="csl-bib-body">
<div class="csl-entry">Hofstätter, S., Althammer, S., Sertkan, M., & Hanbury, A. (2022). A Time-Optimized Content Creation Workflow for Remote Teaching. In <i>SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education</i> (pp. 731–737). Association for Computing Machinery. https://doi.org/10.1145/3478431.3499421</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/193896
-
dc.description.abstract
We describe our workflow to create an engaging remote learning experience for a university course, while minimizing the post-production time of the educators. We make use of ubiquitous and commonly free services and platforms, so that our workflow is inclusive for all educators and provides polished experiences for students. Our learning materials provide for each lecture: 1) a recorded video, uploaded on YouTube, with exact slide timestamp indices, which enables an enhanced navigation UI; and 2) a high-quality flow-text automated transcript of the narration with proper punctuation and capitalization, improved with a student participation workflow on GitHub. All these results could be created by hand in a time consuming and costly way. However, this would generally exceed the time available for creating course materials. Our main contribution is to automate the transformation and post-production between raw narrated slides and our published materials with a custom toolchain. Furthermore, we describe our complete workflow: from content creation to transformation and distribution. Our students gave us overwhelmingly positive feedback and especially liked our use of ubiquitous platforms. The most used feature was YouTube's chapter UI enabled through our automatically generated timestamps. The majority of students, who started using the transcripts, continued to do so. Every single transcript was corrected by students, with an average word-change of 6%. We conclude with the positive feedback that our enhanced content formats are much appreciated and utilized. Important for educators is how our low overhead production workflow was sustainable throughout a busy semester.
en
dc.language.iso
en
-
dc.subject
automated post-production
en
dc.subject
enhanced lecture materials
en
dc.subject
remote teaching
en
dc.title
A Time-Optimized Content Creation Workflow for Remote Teaching
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-1-4503-9070-5
-
dc.description.startpage
731
-
dc.description.endpage
737
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
-
tuw.container.volume
1
-
tuw.peerreviewed
true
-
tuw.relation.publisher
Association for Computing Machinery
-
tuw.relation.publisherplace
New York, NY, United States
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
-
tuw.publisher.doi
10.1145/3478431.3499421
-
dc.description.numberOfPages
7
-
tuw.author.orcid
0000-0003-0984-5221
-
tuw.author.orcid
0000-0002-7149-5843
-
tuw.event.name
SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education
en
dc.description.sponsorshipexternal
Horizon 2020
-
dc.description.sponsorshipexternal
Horizon 2020
-
dc.relation.grantnoexternal
grant agreement No 822670
-
dc.relation.grantnoexternal
860721
-
tuw.event.startdate
03-03-2022
-
tuw.event.enddate
05-03-2022
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Providence, RI
-
tuw.event.country
US
-
tuw.event.presenter
Hofstätter, Sebastian
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
5020
-
wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
-
item.grantfulltext
restricted
-
item.languageiso639-1
en
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.openairetype
conference paper
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.orcid
0000-0003-0984-5221
-
crisitem.author.orcid
0000-0002-7149-5843
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering