Guiding Students towards Frequent High-Utility Paths in an Ill-Defined Domain (CROSBI ID 637567)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jugo, Igor ; Kovačić, Božidar ; Slavuj, Vanja
engleski
Guiding Students towards Frequent High-Utility Paths in an Ill-Defined Domain
This paper presents an exploratory data mining methodology for discovering frequent high- utility learning paths from a database of student interactions with an adaptable tutoring system. The discovered paths are used to present recommendations to students in order to make the learning process more efficient. The novelty of our approach is twofold: a) the process of data preparation, path evaluation and path discovery is completely autonomous ; and b) the process is executed on a growing dataset of learning traces while the students are advancing through the knowledge domain. We present the system overview and the obtained results.
Sequential pattern mining; computer-based learning environment; high-utility patterns; recommendations
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Podaci o prilogu
599-600.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 9th International Conference on Educational Data Mining
Barnes, Tiffany ; Chi, Min ; Feng, Mingyu
Raleigh (NC):
Podaci o skupu
9th International Conference on Educational Data Mining
poster
29.06.2016-02.07.2016
Raleigh (NC), Sjedinjene Američke Države