A Retrospective Course Survey of Graduates to Analyse Competencies in Software Engineering

  • University education in Software Engineering is a challenge for both lecturers and students. Software Engineering is a very complex theme requiring various technical and nontechnical skills. At the beginning of a research project we asked which competencies our graduates need in their everyday working life. In this paper the course survey of graduates is described to gain information about necessary expert and interdisciplinary competencies. First of all, the conceptual approach and the research goals are explained. In a second step the research design in detail will be illustrated. Afterwards analyses take place considering this survey in order to get information concerning competencies and to evaluate the course retrospectively considering this expertise. Furthermore it is required to determine whether improvements or deteriorations in chronological sequence through the semesters can be detected. The students' attitude towards this course is not that positive, so also the survey includes this bias. But, as the learning and teaching arrangement shall be designed more attractive for students as well, first their evaluation has to be analysed. The last chapter provides a summary and an outlook how the results of this survey will be used to improve the quality of teaching. All of this combined is intended to contribute towards the development of a Competency Profile and in a wider context to reach the top goal of the project, to obtain recommendations for teaching and learning methods to improve the quality of teaching.

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Metadaten
Author:Jörg AbkeORCiD, Yvonne Sedelmaier, Carolin Gold
DOI:https://doi.org/10.1109/EDUCON.2014.6826075
ISBN:978-1-4799-3190-3
Parent Title (English):IEEE Global Engineering Education Conference (EDUCON 2014) : Istanbul, Turkey, 3 - 5 April 2014
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference Proceeding
Language:English
Year of Completion:2014
Release Date:2016/02/22
GND Keyword:Software Engineering; Beurteilung; Fähigkeit; Studium
Page Number:7
First Page:100
Last Page:106
Urheberrecht:1
research focus :Intelligent Systems / Artifical Intelligence and Data Science
Licence (German):Keine Lizenz - es gilt das deutsche Urheberrecht
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