Samenvatting
University degrees are typically organized in courses with prerequisites among them. If prerequisite are not mandatory, students are left free to attend courses and take exams in almost any order. While favoring flexible organization of the work by students, this practice can also lead to unstructured learning practices and to performance issues. In this paper we propose to take a process-oriented view of students' careers and analyze them by process mining techniques. Results provide us with some evidence of typical patterns followed by students and of the advantages of adopting structured learning practices.
| Originele taal-2 | Engels |
|---|---|
| Titel | Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 |
| Uitgeverij | Association for Computing Machinery, Inc |
| Aantal pagina's | 7 |
| ISBN van elektronische versie | 9781450352253 |
| DOI's | |
| Status | Gepubliceerd - 19 jun. 2017 |
| Evenement | 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 - Amantea, Italië Duur: 19 jun. 2017 → 22 jun. 2017 |
Congres
| Congres | 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 |
|---|---|
| Land/Regio | Italië |
| Stad | Amantea |
| Periode | 19/06/17 → 22/06/17 |
Financiering
We thank the Commissione Paritetica of the Faculty of Engineering, Università Politecnica delle Marche for his support in the development of the analysis presented in this paper. We also wish to thank Dott. Ing. Matteo Marzioli for the work done in carrying out experiments. This work has been partially funded by the ITEA2 project M2MGrid (No. 13011).