Supporting the process of learning and teaching process models
| Autor: | Lluís Padró, Amine Abbab Andaloussi, Luis Delicado, Barbara Weber, Josep Carmona, Guillermo Calderon-Ruiz, Josep Sànchez-Ferreres, Andrea Burattin |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Computació, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals, Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Natural language processing (NLP)
Process of process modeling Textual annotation Business Process Model and Notation (BPMN) Textual annotation Process modeling Process (engineering) Computer science Semantics (computer science) Business Process Model and Notation (BPMN) computer science Computational linguistics BPMN 02 engineering and technology NLP Natural language processing (NLP) Education Data modeling Business Process Model and Notation Human–computer interaction 020204 information systems 0202 electrical engineering electronic engineering information engineering Business process model and notation Structure (mathematical logic) Mathematical models Syntax (programming languages) Natural language processing General Engineering Models matemàtics 020207 software engineering Work in process Computer Science Applications Process of process modeling Lingüística computacional Informàtica::Intel·ligència artificial::Llenguatge natural [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Sanchez-Ferreres, J, Delicado, L, Abbad Andaloussi, A, Burattin, A, Calderon-Ruiz, G, Weber, B, Carmona, J & Padro, L 2020, ' Supporting the Process of Learning and Teaching Process Models ', IEEE Transactions on Learning Technologies, vol. 13, no. 3, pp. 552-566 . https://doi.org/10.1109/TLT.2020.2983916 |
| DOI: | 10.1109/TLT.2020.2983916 |
| Popis: | The creation of a process model faces the challenge of constructing a syntactically correct entity which accurately reflects the semantics of the reality, and is understandable. This paper proposes a framework called ModelJudge , focused towards the two main actors in the process of learning process model creation: novice modellers and instructors. For modellers, the platform enables the automatic validation of the process models created from the textual description, providing explanations about quality issues in the model. ModelJudge can provide diagnostics regarding model structure, writing style, and seman- tics by aligning annotated textual descriptions to models. For instructors, the platform facilitates the creation of modelling exercises by providing an editor to annotate the main parts of a textual description, that is empowered with Natural Language Processing (NLP) capabilities so that the annotation effort is minimized. So far around 300 students, in process modelling courses of five different universities around the world have used the platform. The feedback gathered from some of these courses shows good potential in helping students to improve their learning experience, which might, in turn, impact process model quality and understandability. Moreover, our results show that instructors can benefit from getting insights into the evolution of modeling processes including arising quality issues of single students, but also discover tendencies in groups of students. Although the framework has been applied to process model creation, it could be extrapolated to other contexts where the creation of models based on a textual description plays an important role. This work has been partially supported by MINECO and FEDER funds under grant TIN2017-86727-C2-1-R. |
| Databáze: | OpenAIRE |
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