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E-Assessment in Conceptual Modeling - A Systematic Literature Review

Ullrich, Meike ORCID iD icon 1; Houy, Constantin; Stottrop, Tobias; Striewe, Michael; Willems, Brian; Fettke, Peter; Loos, Peter; Oberweis, Andreas ORCID iD icon 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

In Computer Science, Software Engineering, Business Informatics or Information Systems, conceptual modeling is an important tool and as such also contained in the respective curricular recommendations. Especially in large university courses, an automated assessment of models can improve the quality of teaching and learning. While there are many different approaches to automatically assess conceptual models, these approaches, however, often only tackle a single aspect or a single type of conceptual model. In this paper, we aim to take a comprehensive perspective on the topic and shed light on the current state of the art and technique. Furthermore, as assessment approaches have to be developed in accordance with appropriate teaching or learning activities and desired learning outcomes, we inquire in which settings automated assessment approaches are included and to which extent didactic aspects are taken into account. To this end, we have conducted a systematic literature review in which we identified 110 relevant publications on the topic which we have analyzed in a structured way. The results provide answers to five relevant research questions and pinpoint open issues which should be inquired in further research.


Verlagsausgabe §
DOI: 10.5445/IR/1000167749
Veröffentlicht am 26.01.2024
Originalveröffentlichung
DOI: 10.18417/emisa.18.2
Scopus
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 21.02.2023
Sprache Englisch
Identifikator ISSN: 1860-6059, 1866-3621
KITopen-ID: 1000167749
Erschienen in Enterprise modelling and information systems architectures
Verlag Gesellschaft für Informatik (GI)
Band 18
Heft 2, Special issue
Seiten 36 S.
Projektinformation KEA-Mod (BMBF, BMBF HIGHTEC, 16DHB3022)
Schlagwörter Systematic Literature Review, Technology-enhanced Learning, Education, Didactics, Automated Assessment, Conceptual Models, Modeling Languages
Nachgewiesen in Scopus
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