<div class="csl-bib-body">
<div class="csl-entry">Cillia, G. de. (2018). <i>Neue computerorientierte Lehrkonzepte in der Statistik</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.43544</div>
</div>
-
dc.identifier.uri
https://doi.org/10.34726/hss.2018.43544
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/3445
-
dc.description
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
-
dc.description.abstract
A lot of efforts has been done to implement a system of feedback blended learning systems in the past. New possibilities and new ideas makes it possible to improve these systems in order to maximize the effectiveness of teaching statistics to students at university level. The aim is both, a systematic implementation of teaching concepts in software using modern interactive tools and to invent new ways to teach statistical concepts in the area of statistical uncertainty and statistical modeling. This thesis presents the newly developed R package tguishiny (de Cillia et al., 2018), which gives teachers a way to create feedback-based courses for teaching R syntax and statistical concepts. Questions created with this package can contain interactive visualizations thanks to the powerful shiny framework. Answers submitted by students are summarized live in a “teacher view”. The ui design of the questions has been laregly influenced by the tGUIOnline project, which is a teaching tool developed in and used by the Statistics Austria institute.
en
dc.language
English
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Teaching
en
dc.subject
interactive examples
en
dc.subject
blended learning
en
dc.title
Neue computerorientierte Lehrkonzepte in der Statistik
en
dc.title.alternative
New computer-oriented teaching concepts in statistics
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2018.43544
-
dc.contributor.affiliation
TU Wien, Österreich
-
dc.rights.holder
Gregor de Cillia
-
dc.publisher.place
Wien
-
tuw.version
vor
-
tuw.thesisinformation
Technische Universität Wien
-
tuw.publication.orgunit
E105 - Institut für Stochastik und Wirtschaftsmathematik