Please use this identifier to cite or link to this item: doi:10.22028/D291-37032
Volltext verfügbar? / Dokumentlieferung
Title: PIAF: Developing Computational and Algorithmic Thinking in Fundamental Education
Author(s): Parmentier, Yannick
Reuter, Robert
Higuet, Sarah
Kataja, Lara
Kreis, Yves
Duflot-Kremer, Marie
Laduron, Christophe
Meyers, Christian
Busana, Gilbert
Weinberger, Armin
Denis, Brigitte
Language: English
Title: Proceedings of EdMedia + Innovate Learning
Startpage: 315
Endpage: 322
Publisher/Platform: Association for the Advancement of Computing in Education
Year of Publication: 2020
Place of publication: Waynesville, NC
Place of the conference: Online
DDC notations: 370 Education
Publikation type: Conference Paper
Abstract: In this article, we present the objectives and first achievements of the PIAF project supported by the European Union and aiming at developing computational and algorithmic thinking in basic education. This project brings together researchers in educational sciences and computer science from four countries (Belgium, France, Germany and Luxembourg) around the theme of teacher training. More concretely, the aim is to define a framework (competency framework, pedagogical scenarios) enabling teachers to (i) appropriate the concept of computational and algorithmic thinking and (ii) implement learning activities that promote the development of this kind of thinking in children.
Link to this record: urn:nbn:de:bsz:291--ds-370326
hdl:20.500.11880/33614
http://dx.doi.org/10.22028/D291-37032
ISBN: 978-1-939797-50-6
Date of registration: 11-Aug-2022
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Bildungswissenschaften
Professorship: HW - Prof. Dr. Armin Weinberger
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.