@article{54776,
  author       = {{Soyka, Chantal and Schaper, Niclas}},
  journal      = {{Frontiers in Education}},
  title        = {{{Analyzing student response processes to refine and validate a competency model and competency-based assessment task types}}},
  doi          = {{https://doi.org/10.3389/feduc.2024.1397027}},
  volume       = {{9}},
  year         = {{2024}},
}

@article{47065,
  abstract     = {{The reform of the European academic landscape with the introduction of bachelor's and master's degree programs has brought about several profound changes for teaching and assessment in higher education. With regard to the examination system, the shift towards output-oriented teaching is still one of the most significant challenges. Assessments have to be integrated into the teaching and learning arrangements and consistently aligned towards the intended learning outcomes. In particular, assessments should provide valid evidence that learners have acquired competences that are relevant for a specific domain. However, it seems that this didactic goal has not yet been fully achieved in modeling education in computer science. The aim of this study is to investigate whether typical task material used in exercises and exams in modeling education at selected German universities covers relevant competences required for graphical modeling. For this purpose, typical tasks in the field of modeling are first identified by means of a content-analytical procedure. Subsequently, it is determined which competence facets relevant for graphical modeling are addressed by the task types. By contrasting a competence model for modeling with the competences addressed by the tasks, a gap was identified between the required competences and the task material analyzed. In particular, the gap analysis shows the neglect of transversal competence facets as well as those related to the analysis and evaluation of models. The result of this paper is a classification of task types for modeling education and a specification of the competence facets addressed by these tasks. Recommendations for developing and assessing student's competences comprehensively are given.}},
  author       = {{Soyka, Chantal and Ullrich, Meike and Striewe, Michael and Schaper, Niclas}},
  journal      = {{Enterprise Modelling and Information Systems Architectures}},
  keywords     = {{conceptual modeling, higher education, competence-oriented assessment, task analysis, graphical modeling}},
  title        = {{{Comparison of Required Competences and Task Material in Modeling Education}}},
  doi          = {{10.18417/EMISA.18.7}},
  volume       = {{18}},
  year         = {{2023}},
}

@article{33839,
  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 paper 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 (CMGM), 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”.}},
  author       = {{Soyka, Chantal and Schaper, Niclas and Bender, Elena and Striewe, Michael and Ullrich, Meike}},
  journal      = {{ACM Transactions on Computing Education}},
  keywords     = {{graphical modeling, conceptual modeling, computer science, competence model, higher education}},
  number       = {{1}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Toward a Competence Model for Graphical Modeling}}},
  doi          = {{10.1145/3567598}},
  volume       = {{23}},
  year         = {{2022}},
}

@inproceedings{33760,
  author       = {{Ullrich, Meike and Pfeiffer, Peter and Schiefer, Gunther and Soyka, Chantal and Stottrop, Tobias and Striewe, Michael and Fettke, Peter and Loos, Peter and Oberweis, Andreas and Schaper, Niclas}},
  booktitle    = {{20. Fachtagung Bildungstechnologien (DELFI)}},
  editor       = {{Henning, Peter A. and Striewe, Michael and Wölfel, Matthias}},
  pages        = {{ 233--234 }},
  publisher    = {{Gesellschaft für Informatik e.V.}},
  title        = {{{Piloteinsatz einer E-Assessment-Plattform für die grafische Modellierung}}},
  doi          = {{ 10.18420/delfi2022-047 }},
  year         = {{2022}},
}

@inproceedings{33764,
  author       = {{Ullrich, Meike and Pfeiffer, Peter and Schiefer, Gunther and Soyka, Chantal and Stottrop, Tobias and Striewe, Michael and Fettke, Peter and Loos, Peter and Oberweis, Andreas and Schaper, Niclas}},
  booktitle    = {{20. Fachtagung Bildungstechnologien (DELFI)}},
  editor       = {{Henning, Peter A. and Striewe, Michael and Wölfel, Matthias}},
  pages        = {{ 247--248 }},
  publisher    = {{Gesellschaft für Informatik e.V.}},
  title        = {{{E-Assessment-Plattform für die grafische Modellierung}}},
  doi          = {{ 10.18420/delfi2022-053 }},
  year         = {{2022}},
}

@article{33748,
  abstract     = {{<jats:p> Zusammenfassung. In der Arbeit 4.0 ist durch neue Beschäftigungsmöglichkeiten für Mitarbeitende eine Langzeitbindung an ein Unternehmen seltener. Unternehmen reagieren mit flexibilisierten Arbeitsplätzen, um diesem Wunsch der Mitarbeitenden nachzukommen. Flexibilisierung reduziert die Absicht das Unternehmen zu verlassen. Dabei ist wichtig, räumliche und zeitliche Flexibilisierung zu differenzieren. Außerdem gewinnen individuelle Werte bezüglich Stabilität und Kontinuität an Bedeutung und können den Bindungswunsch stärken. Hauptziel dieser Untersuchung ist, anhand eines kontroll- und ressourcentheoretisch fundierten Rahmens in zwei aufeinander aufbauenden Studien ( N = 448, N = 202) die (potenziell unterschiedlich starken) Zusammenhänge von zeitlicher und räumlicher Flexibilisierung mit Mitarbeitendenbindung zu analysieren und zu prüfen, ob sich diese Zusammenhänge bestätigen lassen, wenn zusätzlich individuelle Werte in die Analyse einbezogen werden. Die Ergebnisse zeigen, dass zeitliche und räumliche Flexibilisierung unterschiedlich mit der Bleibeabsicht zusammenhängen. Während zeitliche Flexibilisierung positive Zusammenhänge zeigt, finden sich in Bezug auf räumliche Flexibilisierung keine Zusammenhänge. Werte bezüglich Stabilität und Kontinuität scheinen dabei nicht mit einer stärkeren Mitarbeitendenbindung zusammenzuhängen. </jats:p>}},
  author       = {{Bender, Elena and Schürmann, Mirko and Poethke, Ute and Soyka, Chantal and Schaper, Niclas and Rowold, und Jens}},
  issn         = {{0932-4089}},
  journal      = {{Zeitschrift für Arbeits- und Organisationspsychologie A&amp;O}},
  keywords     = {{Organizational Behavior and Human Resource Management, Applied Psychology}},
  number       = {{1}},
  pages        = {{14--30}},
  publisher    = {{Hogrefe Publishing Group}},
  title        = {{{Die Rolle von arbeitsplatzbezogener Flexibilisierung und die Betrachtung von individuellen Werten           für Mitarbeitendenbindung in der Arbeitswelt 4.0}}},
  doi          = {{10.1026/0932-4089/a000364}},
  volume       = {{66}},
  year         = {{2021}},
}

@article{33751,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>In vielen Bereichen der Wirtschaftsinformatik spielt die Erstellung konzeptueller Modelle unter Verwendung grafischer Modellierungssprachen eine wichtige Rolle. Entsprechend wichtig ist eine fundierte Grundausbildung, die sich an den benötigten Modellierungskompetenzen orientiert und daher neben theoretischen auch praktische Aspekte der konzeptuellen Modellierung in den Blick nimmt. Der vorliegende Beitrag stellt erste Ergebnisse aus dem KEA-Mod-Projekt vor, das sich mit der Erstellung eines „digitalen Fachkonzepts“ im Bereich der grafischen, konzeptuellen Modellierung befasst. Kernstück dieses Fachkonzepts ist die Unterstützung der Grundausbildung in der grafischen, konzeptuellen Modellierung durch eine kompetenzorientierte E‑Assessment-Plattform mit automatisierten und individuellen Bewertungs- und Feedbackmöglichkeiten.</jats:p>}},
  author       = {{Striewe, Michael and Forell, Martin and Houy, Constantin and Pfeiffer, Peter and Schiefer, Gunther and Schüler, Selina and Soyka, Chantal and Stottrop, Tobias and Ullrich, Meike and Fettke, Peter and Loos, Peter and Oberweis, Andreas and Schaper, Niclas}},
  issn         = {{1436-3011}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  number       = {{6}},
  pages        = {{1350--1363}},
  publisher    = {{Springer Fachmedien Wiesbaden GmbH}},
  title        = {{{Kompetenzorientiertes E-Assessment für die grafische, konzeptuelle Modellierung}}},
  doi          = {{10.1365/s40702-021-00797-x}},
  volume       = {{58}},
  year         = {{2021}},
}