DocumentCode
240608
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
fYear
2014
fDate
7-10 July 2014
Firstpage
373
Lastpage
375
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location
Athens
Type
conf
DOI
10.1109/ICALT.2014.111
Filename
6901485
Link To Document