Providing Hints Based On Discovered Frequent High- Utility Patterns In A Web-Based ITS (CROSBI ID 652425)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jugo, Igor ; Kovačić, Božidar
engleski
Providing Hints Based On Discovered Frequent High- Utility Patterns In A Web-Based ITS
This paper presents an exploratory data mining methodology for discovering frequent high- utility learning patterns and using them to provide hints in a web-based intelligent tutoring system (ITS). This is achieved through several phases, namely: obtaining and evaluating learning traces of each student ; transforming and encoding these traces in order to create a set of paths that led to a learning unit (“prefix” paths) and a set of paths a student took after learning a unit (“suffix” paths) ; combining the paths of all students for each learning unit into a final dataset, performing high-utility sequential pattern mining and finally storing the discovered frequent patterns in the systems database. This enables the final goal of the system – offering hints to students using our ITS. We present and discuss the results obtained by applying this methodology on interaction data from two different knowledge domains.
Sequence mining, providing hints, high-utility paths, student guidance
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Podaci o prilogu
87-92.
2017.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 8th Conference on e-learning
Jovanović, Slobodan ; Trebinjac, Bojana ; Kovačević, Sanja
Beograd: Belgrade Metropolitan University
Podaci o skupu
8th Conference on eLearning
predavanje
28.09.2017-29.09.2017
Beograd, Srbija