Naslov
Text mining student reports

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

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

Izvornik
CompSysTech '15: Proceedings of the 16th International Conference on Computer Systems and Technologies / Rachev, Boris ; Smrikarov, Angel - Dublin : Association for Computing Machinery (ACM), 2015, 382-389

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
contrastive analysis ; predictive power ; classification ; text mining ; word frequency

Sažetak
This paper is a preliminary attempt at gaining useful knowledge from student reports, but also at inspecting their predictive power on grades or course success rate. First a descriptive statistical analysis is done in order to get a basic understanding of patterns found in reports. Then a frequency word analysis and contrastive analysis are done in order to identify the most frequent words per class and those words that occur distinctively between different classes. Prior to the classification task, correlations between the length of the final report and the final grade, and between the scores obtained on each reported activity individually and the final grade are inspected. Finally, four different classifiers are evaluated on the task of classifying texts based on the type. The same four classifiers are used to determine the predictive power that reports have on course final grades.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA