Defining the competence of abstract thinking and evaluating CS-students' level of abstraction

Daniela Zehetmeier, Axel Böttcher, Anne Brüggemann-Klein, Veronika Thurner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Although it is commonly agreed that the competence of abstraction and abstract thinking is one of the most important competences in Computer Science, only a few of these sources define this competence and its processes in a precise manner. Furthermore there is a lack of instruments to test the competence of abstract thinking and to integrate it into teaching. This work will start to close the gap concerning the competence of abstract thinking by deriving a theoretical description of the competence construct of abstract thinking, focusing on a Computer Science perspective. Furthermore, we will present a coding manual based on the model, which can be used to evaluate student assignments. This coding manual is applied to examples of our teaching practice in order to demonstrate its validity.

Original languageEnglish
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages7642-7651
Number of pages10
ISBN (Electronic)9780998133126
StatePublished - 2019
Event52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
Duration: 8 Jan 201911 Jan 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/TerritoryUnited States
CityMaui
Period8/01/1911/01/19

Fingerprint

Dive into the research topics of 'Defining the competence of abstract thinking and evaluating CS-students' level of abstraction'. Together they form a unique fingerprint.

Cite this