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Pregled bibliografske jedinice broj: 1266866

Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs

Dunatov, Suzana Marija; Maljković, Jelena; Kasalo, Kristian; Prnjak, Antonela; Lovrinčević, Anamaria
Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs // SoftCOM 2022: 30th International Conference on Software, Telecommunications and Computer Networks: Proceedings / Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko (ur.).
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2022. str. 1-6 doi:10.23919/softcom55329.2022.9911477 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)

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Naslov
Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs

Autori
Dunatov, Suzana Marija ; Maljković, Jelena ; Kasalo, Kristian ; Prnjak, Antonela ; Lovrinčević, Anamaria

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

Izvornik
SoftCOM 2022: 30th International Conference on Software, Telecommunications and Computer Networks: Proceedings / Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko - Split : Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2022, 1-6

ISBN
978-953-290-117-7

Skup
30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

Mjesto i datum
Split, Hrvatska, 22.09.2022. - 24.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
educational data mining ; predicting final marks ; student grade pass/fail prediction ; online learning materials

Sažetak
This paper presents the use of data mining to predict students’ final exam grades. We used the data collected from the Moodle platform of the IT course (the University of Split) and compared six classification methods: Decision Tree Classification, k-Nearest Neighbor Classifier, Logistic Regression, Naive Bayes, Random Forest, and Support Vector Machine. Using those methods and Moodle Logs, we aimed to predict the ultimate success in the chosen course. To achieve better accuracy, we evaluated all available and filtered data to determine which algorithms were the most accurate.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Antonela Prnjak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Dunatov, Suzana Marija; Maljković, Jelena; Kasalo, Kristian; Prnjak, Antonela; Lovrinčević, Anamaria
Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs // SoftCOM 2022: 30th International Conference on Software, Telecommunications and Computer Networks: Proceedings / Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko (ur.).
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2022. str. 1-6 doi:10.23919/softcom55329.2022.9911477 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)
Dunatov, S., Maljković, J., Kasalo, K., Prnjak, A. & Lovrinčević, A. (2022) Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs. U: Begušić, D., Rožić, N., Radić, J. & Šarić, M. (ur.)SoftCOM 2022: 30th International Conference on Software, Telecommunications and Computer Networks: Proceedings doi:10.23919/softcom55329.2022.9911477.
@article{article, author = {Dunatov, Suzana Marija and Maljkovi\'{c}, Jelena and Kasalo, Kristian and Prnjak, Antonela and Lovrin\v{c}evi\'{c}, Anamaria}, year = {2022}, pages = {1-6}, DOI = {10.23919/softcom55329.2022.9911477}, keywords = {educational data mining, predicting final marks, student grade pass/fail prediction, online learning materials}, doi = {10.23919/softcom55329.2022.9911477}, isbn = {978-953-290-117-7}, title = {Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs}, keyword = {educational data mining, predicting final marks, student grade pass/fail prediction, online learning materials}, publisher = {Fakultet elektrotehnike, strojarstva i brodogradnje Sveu\v{c}ili\v{s}ta u Splitu}, publisherplace = {Split, Hrvatska} }
@article{article, author = {Dunatov, Suzana Marija and Maljkovi\'{c}, Jelena and Kasalo, Kristian and Prnjak, Antonela and Lovrin\v{c}evi\'{c}, Anamaria}, year = {2022}, pages = {1-6}, DOI = {10.23919/softcom55329.2022.9911477}, keywords = {educational data mining, predicting final marks, student grade pass/fail prediction, online learning materials}, doi = {10.23919/softcom55329.2022.9911477}, isbn = {978-953-290-117-7}, title = {Predicting Students'Final Exam Grades Based on Learning Material Usage extracted from Moodle Logs}, keyword = {educational data mining, predicting final marks, student grade pass/fail prediction, online learning materials}, publisher = {Fakultet elektrotehnike, strojarstva i brodogradnje Sveu\v{c}ili\v{s}ta u Splitu}, publisherplace = {Split, Hrvatska} }

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