Martin, Andreas

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Martin
Vorname
Andreas
Name
Martin, Andreas

Filter

2020 - 20213
Filter zurücksetzen

Einstellungen

Enddatum: 2021 × Anfangsdatum: 2020 × Dateien dazu vorhanden?: Nein × Hochschule: Hochschule für Wirtschaft × Thema: 330 - Wirtschaft ×

Suchergebnisse

Gerade angezeigt 1 - 3 von 3
  • Vorschaubild nicht verfügbar
    Publikation
    ChEdventure - A chatbot-based educational adventure game for modeling tasks in information systems
    (2021) Martin, Andreas
    Practitioners in business information systems are frequently faced with tasks that involve interpretation and representation of organizational information as models, e.g. business processes, the involved participants, and data. Usually, this information comes from varied sources like stakeholders and documents, often resulting in subjective, biased, or incomplete information. Simulating a realistic organizational environment is important for the education of future business process experts, but challenging to achieve in the educational setting. In this work, we propose a chatbot-based educational adventure game that can introduce complex and often contradictory sources of information in a fun learning approach and help the students in abstracting and interpreting this information, constructing models as an outcome. We elaborate on the first design ideas and requirements.
    06 - Präsentation
  • Vorschaubild nicht verfügbar
    Publikation
    Visualization of patterns for hybrid learning and reasoning with human involvement
    (Springer, 2020) Martin, Andreas [in: New trends in business information systems and technology]
    04A - Beitrag Sammelband
  • Vorschaubild nicht verfügbar
    Publikation
    ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model
    (2020) Martin, Andreas [in: Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development]
    Many enterprises face the increasing challenge of sharing and exchanging data from multiple heterogeneous sources. Enterprise Ontologies can be used to effectively address such challenge. In this paper, we present an Enterprise Ontology called ArchiMEO, which is based on an ontological representation of the ArchiMate standard for modeling Enterprise Architectures. ArchiMEO has been extended to cover various application domains such as supply risk management, experience management, workplace learning and business process as a service. Such extensions have successfully proven that our Enterprise Ontology is beneficial for enterprise applications integration purposes.
    04B - Beitrag Konferenzschrift