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Pregled bibliografske jedinice broj: 826315

Guiding Students towards Frequent High-Utility Paths in an Ill-Defined Domain


Jugo, Igor; Kovačić, Božidar; Slavuj, Vanja
Guiding Students towards Frequent High-Utility Paths in an Ill-Defined Domain // Proceedings of the 9th International Conference on Educational Data Mining / Barnes, Tiffany ; Chi, Min ; Feng, Mingyu (ur.).
Raleigh, 2016. str. 599-600 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Guiding Students towards Frequent High-Utility Paths in an Ill-Defined Domain

Autori
Jugo, Igor ; Kovačić, Božidar ; Slavuj, Vanja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th International Conference on Educational Data Mining / Barnes, Tiffany ; Chi, Min ; Feng, Mingyu - Raleigh, 2016, 599-600

Skup
9th International Conference on Educational Data Mining

Mjesto i datum
Raleigh, USA, 29.06.-02.07.2016

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Sequential pattern mining; computer-based learning environment; high-utility patterns; recommendations

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



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