Defining the Competence of Abstract Thinking and Evaluating CS-Students' Level of Abstraction

Date
2019-01-08
Authors
Zehetmeier, Daniela
Böttcher, Axel
Brüggemann-Klein, Anne
Thurner, Veronika
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
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.
Description
Keywords
Measurement and Assessment, Software Engineering Education and Training, abstract thinking, competences, computer science education, diagnostic
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 52nd Hawaii International Conference on System Sciences
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.