Pregled bibliografske jedinice broj: 809204
Assesing the impact of prior knowledge and Moodle activities in programming courses by data and text mining
Assesing the impact of prior knowledge and Moodle activities in programming courses by data and text mining, 2015. (izvještaj).
CROSBI ID: 809204 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Assesing the impact of prior knowledge and Moodle activities in programming courses by data and text mining
Autori
Sisović, Sabina ; Matetic, Maja ; Brkic Bakaric, Marija
Izvornik
"Software Engineering - Computer Science Education and Research Cooperation" , supported by DAAD and Stability Pact for South Eastern Europe Bohinjska Bistrica (SLO)
Vrsta, podvrsta
Ostale vrste radova, izvještaj
Godina
2015
Ključne riječi
classification; prior knowledge; educational data mining; text mining; associative rule analysis
Sažetak
Educational Data Mining and Learning Analytics are used in order to find out what impacts student success most, since increase in the passing rate has been detected. The research is conducted on the dataset compounded of two parts: the first part is extracted from the Learning Management System (LMS) Moodle logs, while the second part is related to prior knowledge and students' preparation for the study. Classification methods, associative rule mining and text mining are used to detect connections between Moodle course activities in relation to final grades.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
