Toward a Competence Model for Graphical Modeling

Author:

Soyka Chantal1ORCID,Schaper Niclas1ORCID,Bender Elena1ORCID,Striewe Michael2ORCID,Ullrich Meike3ORCID

Affiliation:

1. Paderborn University, Faculty of Arts and Humanities, Department of Human Sciences, Psychology, Paderborn, Germany

2. University of Duisburg-Essen, paluno—The Ruhr Institute for Software Technology, Essen, Germany

3. Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe, Germany

Abstract

Modeling is an integral part of many computing-related disciplines and thus also represents a curricular core component in computing education in tertiary education. Competence models in which modeling is integrated at least to some extent already exist in some of these disciplines. However, for the core component of graphical modeling, a competence model that illuminates the relevant competences in detail is still lacking. Therefore, we develop a competence model for graphical modeling with the aim to make teaching and especially assessments in the field more competence-oriented. This article reports on the first two studies conducted to develop and validate the competence model for graphical modeling. In the first study, the structure of the competence model was developed based on theories and approaches of educational science. Competences relevant for graphical modeling were deductively derived from literature and existing university course descriptions using techniques of qualitative content analysis. The result of the first study is a preliminary competence model. In the second study, the preliminary competence model was reviewed by means of an expert rating in the modeling community. The competence model was revised and refined based on these findings and subsequent expert discussions. The main result of the investigation represents the competence model for graphical modeling, which includes a total of 74 competence facets at different cognitive process levels in the five content areas of “model understanding and interpreting,” “model building and modifying,” “values, attitudes, and beliefs,” “metacognitive knowledge and skills,” and “social-communicative skills.”

Funder

German Federal Ministry of Education and Research (BMBF) within the project KEA-Mod

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

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