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Pregled bibliografske jedinice broj: 838645

Clustering of imbalanced moodle data for early alert of student failure

Šišovic, Sabina; Matetić, Maja; Brkić Bakarić, Marija
Clustering of imbalanced moodle data for early alert of student failure // IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI)
Herl’any, Slovakia, 2016. str. 165-170 doi:10.1109/SAMI.2016.7423001 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Clustering of imbalanced moodle data for early alert of student failure

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

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

Izvornik
IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI) / - Herl’any, Slovakia, 2016, 165-170

ISBN
978-1-4673-8739-2

Skup
International Symposium on Applied Machine Intelligence and Informatics (SAMI)

Mjesto i datum
Herľany, Slovačka, 21.01.2016. - 23.01.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
educational data mining ; clustering ; e-learning ; early alert ; Moodle ; K-means

Sažetak
This paper is an attempt of applying EDM methods on Moodle data in order to detect specific behaviours within student groups with the tendency to fail the course. The research is conducted on Moodle logs gathered in the blended course Programming 1. Extracting and using crucial information on time can be a turning point for students in at-risk stage, which is what we tried to achieve in this research.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka

Profili:

Avatar Url Maja Matetić (autor)

Avatar Url Marija Brkić Bakarić (autor)

Avatar Url Sabina Šišović (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org ieeexplore.ieee.org

Citiraj ovu publikaciju:

Šišovic, Sabina; Matetić, Maja; Brkić Bakarić, Marija
Clustering of imbalanced moodle data for early alert of student failure // IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI)
Herl’any, Slovakia, 2016. str. 165-170 doi:10.1109/SAMI.2016.7423001 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Šišovic, S., Matetić, M. & Brkić Bakarić, M. (2016) Clustering of imbalanced moodle data for early alert of student failure. U: IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI) doi:10.1109/SAMI.2016.7423001.
@article{article, author = {\v{S}i\v{s}ovic, Sabina and Mateti\'{c}, Maja and Brki\'{c} Bakari\'{c}, Marija}, year = {2016}, pages = {165-170}, DOI = {10.1109/SAMI.2016.7423001}, keywords = {educational data mining, clustering, e-learning, early alert, Moodle, K-means}, doi = {10.1109/SAMI.2016.7423001}, isbn = {978-1-4673-8739-2}, title = {Clustering of imbalanced moodle data for early alert of student failure}, keyword = {educational data mining, clustering, e-learning, early alert, Moodle, K-means}, publisherplace = {Her\v{l}any, Slova\v{c}ka} }
@article{article, author = {\v{S}i\v{s}ovic, Sabina and Mateti\'{c}, Maja and Brki\'{c} Bakari\'{c}, Marija}, year = {2016}, pages = {165-170}, DOI = {10.1109/SAMI.2016.7423001}, keywords = {educational data mining, clustering, e-learning, early alert, Moodle, K-means}, doi = {10.1109/SAMI.2016.7423001}, isbn = {978-1-4673-8739-2}, title = {Clustering of imbalanced moodle data for early alert of student failure}, keyword = {educational data mining, clustering, e-learning, early alert, Moodle, K-means}, publisherplace = {Her\v{l}any, Slova\v{c}ka} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus

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