Naslov
Mining Student Data to Assess the Impact of Moodle Activities and Prior Knowledge on Programming Course Success

Autori
Šišović, Sabina ; Matetić, Maja ; Brkić Bakarić, Marija

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

Izvornik
CompSysTech Conference Proceedings, 2015 - ACM International Conference Proceeding Series, Vol. 1008 / Rachev, Boris ; Smrikarov, Angel - Dublin : Association for Computing Machinery (ACM), 2015, 366-373

ISBN
978-1-4503-3357-3

Skup
CompSysTech '15, 16th International Conference on Computer Systems and Technologies

Mjesto i datum
Dublin, Irska, 25.06.2015. - 26.06.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
E-Learning ; educational data mining ; classification ; prior knowledge

Sažetak
In this paper, Educational Data Mining and Learning Analytics are used in order to find out what impacts Programming 1 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 are used to detect connections between prior knowledge and Moodle course activity in relation to final grades.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA