Mining Student Data to Assess the Impact of Moodle Activities and Prior Knowledge on Programming Course Success (CROSBI ID 632326)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šišović, Sabina ; Matetić, Maja ; Brkić Bakarić, Marija
engleski
Mining Student Data to Assess the Impact of Moodle Activities and Prior Knowledge on Programming Course Success
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.
E-Learning ; educational data mining ; classification ; prior knowledge
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Podaci o prilogu
366-373.
2015.
objavljeno
Podaci o matičnoj publikaciji
CompSysTech Conference Proceedings, 2015 - ACM International Conference Proceeding Series, Vol. 1008
Rachev, Boris ; Smrikarov, Angel
Dublin: Association for Computing Machinery (ACM)
978-1-4503-3357-3
Podaci o skupu
CompSysTech '15, 16th International Conference on Computer Systems and Technologies
predavanje
25.06.2015-26.06.2015
Dublin, Irska