Teamwork assessment in collaborative projects through process mining techniques
-
Juan Antonio Caballero-Hernández [1] ; Antonio Balderas [1] ; Manuel Palomo-Duarte [1] ; Pablo Delatorre [1] ; Antonio J. Reinoso [2] ; Juan Manuel Dodero [1]
-
[1] Universidad de Cádiz
Universidad de Cádiz
Cádiz, España
-
[2] Universidad Alfonso X el Sabio
Universidad Alfonso X el Sabio
Villanueva de la Cañada, España
-
- Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 36, no. Extra 1 (Parte B), 2020 (Ejemplar dedicado a: Teamwork Assessment in Engineering Education), págs. 470-482
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
-
Resumen
Teamwork is one of the key issues in engineering projects success. Unfortunately, due to the high number of interactions, theassessment of collaborative tasks remains a challenge. Wikis are web-based systems that support collaborative work in enterpriseengineering project documentation providing quantitative data from the members’ contributions and interactions. While thisobjective data is interesting for the teamwork assessment, a qualitative assessment process can provide a complementary approach.We propose an architecture that combines information from both sources to conduct a scalable assessment of the teamwork in awiki. It was implemented in a course of the degree on Computer Engineering using specific developed software tools and ProcessMining techniques. Process Mining tools automatically apply artificial intelligence algorithms to extract knowledge from realprocesses and discover models. These models provided evidence of conducted behaviour. The actual dynamics of the teams in thewiki were automatically detected and could be analysed for assessment purposes. Finally, the followed mixed approach allowed adetailed and scalable teamwork skills assessment process.
