Title :
SoftLearn: A Process Mining Platform for the Discovery of Learning Paths
Author :
Vazquez Barreiros, Borja ; Lama, Manuel ; Mucientes, Manuel ; Vidal, Juan C.
Author_Institution :
Center for Res. in Inf. Technol. (CiTIUS), Univ. of Santiago de Compostela, Santiago de Compostela, Spain
Abstract :
One of the most challenging issues in learning analytics is the development of techniques and tools that facilitate the evaluation of the learning activities carried out by learners. In this paper, we faced this issue through a process mining-based platform, called Soft Learn, that is able to discover complete, precise and simple learning paths from event logs. This platform has a graphical interface that allows teachers to better understand the real learning paths undertaken by learners.
Keywords :
computer aided instruction; data mining; graphical user interfaces; SoftLearn; event logs; graphical interface; learning analytics; learning path discovery; process mining platform; Context; Data mining; Data visualization; Genetic algorithms; Registers; Software architecture; Visualization; Learning Analytics; Learning Path Discovery; Process Mining;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.111
