TY  - Type of reference 
TI  - An Architecture Using Trace Clustering to Recommend a Learning Path: Definition of Process Mining and Recommender Layers 
AU  - Wiem Hachicha
 
AU  - Leila Ghorbel
 
AU  - Ronan Champagnat
 
AU  - Corinne Amel Zayani
 
AU  - Mourad Rabah
 
AU  - Samuel Nowakowski 
AB  - Educational information systems make it possible to observe learners’ learning traces and to carry out analyses of their behaviour or to predict their success. In this work, we study how Process Mining can be used in contextual recommender systems. We are focusing in particular on Trace Clustering, which aims to group together traces with similar dynamics. Our contributions concern the definition of an architecture for recommendation that uses Trace Clustering and the characterization of the learning styles of the identified groups. We validate our proposal on data collected from an introductory course in UI programming. 
DO  - 10.21494/ISTE.OP.2025.1300 
JF  - Open Journal in Information Systems Engineering 
KW  - Intelligent Tutor System, Process Mining, Recommendation, Trace Clustering, SI pédagogique, fouille de processus, recommandation, trace clustering,  
L1  - https://www.openscience.fr/IMG/pdf/iste_roisi25v5nspe_3.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2025/06/4 
SN  - 2634-1468 
TT  - Proposition d’une architecture utilisant le trace clustering pour recommander un parcours d’apprentissage : définition des couches de fouille de processus et de recommandation 
UR  - https://www.openscience.fr/An-Architecture-Using-Trace-Clustering-to-Recommend-a-Learning-Path-Definition 
IS  - Issue 1 
VL  - 5 
ER  -