Auflistung EMISAJ Vol. 18 - 2023 nach Erscheinungsdatum
1 - 3 von 3
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelTool-based Codification in Business Process Improvement and the Impact on Problem-Solving(Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 1, 2023) Johannsen, Florian; Mang, Fabian; Hans-Georg, Fill; Hofmann, SaraBusiness process improvement (BPI) is an important task in times of quickly changing customer requirements and evolving technologies. A variety of BPI approaches were developed in recent years, however, the proper codification of results created in BPI projects has not been properly investigated yet. In this respect, the paper at hand examines the impact of tool-based codification approaches on problem-solving in BPI. Moreover, the effect of the design either as a spreadsheet-based or a conceptual model-based tool on user satisfaction is analyzed. For that purpose, we revert to two tools we developed, which both offer the identical functionality but diverge in the techniques of codifying results: spreadsheet templates on the one side and conceptual models on the other side. In our study, the form of codification tremendously affected the perceived user satisfaction whereas the results received for problem-solving did not show a clear preference. Regarding the former issue, the beneficial role of conceptual models for codifying results with the help of software tools could be demonstrated.
- ZeitschriftenartikelAutomated Assessment of Conceptual Models in Education(Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 2, 2023) Meike Ullrich, Constantin HouyIn 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.
- Journal EditorialConceptual Modeling and Large Language Models: Impressions From First Experiments With ChatGPT(Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 3, 2023) Hans-Georg Fill, Peter Fettke