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Pregled bibliografske jedinice broj: 1064243

A Comparative Study of Machine Learning Approaches on Learning Management System Data

Oreški, Dijana; Hajdin, Goran
A Comparative Study of Machine Learning Approaches on Learning Management System Data // 2019 Proceedings - 3rd International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
Atena, Grčka, 2019. str. 136-141 doi:10.1109/ICCAIRO47923.2019.00029 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
A Comparative Study of Machine Learning Approaches on Learning Management System Data

Autori
Oreški, Dijana ; Hajdin, Goran

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

Izvornik
2019 Proceedings - 3rd International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) / - , 2019, 136-141

ISBN
9781728135724

Skup
3rd International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO 2019)

Mjesto i datum
Atena, Grčka, 08.12.2019. - 10.12.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Data mining

Sažetak
This paper addresses the analysis of machine learning (ML) effectiveness in learning analytics context. Four different machine learning approaches are evaluated. The results offer information about the usefulness of these approaches and help to decide which of the approaches is the most promising one in learning analytics application. Results substantiate that the neural networks ML model trained on our learning management system (LMS) data exhibits the best performance for predicting the students' academic performance. In our future research, predictive model results will be explained within a pedagogical context in order to be used as part of student support mechanism.

Izvorni jezik
Engleski



POVEZANOST RADA

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Goran Hajdin (autor)

Avatar Url Dijana Oreški (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Oreški, Dijana; Hajdin, Goran
A Comparative Study of Machine Learning Approaches on Learning Management System Data // 2019 Proceedings - 3rd International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
Atena, Grčka, 2019. str. 136-141 doi:10.1109/ICCAIRO47923.2019.00029 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Oreški, D. & Hajdin, G. (2019) A Comparative Study of Machine Learning Approaches on Learning Management System Data. U: 2019 Proceedings - 3rd International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) doi:10.1109/ICCAIRO47923.2019.00029.
@article{article, author = {Ore\v{s}ki, Dijana and Hajdin, Goran}, year = {2019}, pages = {136-141}, DOI = {10.1109/ICCAIRO47923.2019.00029}, keywords = {Data mining}, doi = {10.1109/ICCAIRO47923.2019.00029}, isbn = {9781728135724}, title = {A Comparative Study of Machine Learning Approaches on Learning Management System Data}, keyword = {Data mining}, publisherplace = {Atena, Gr\v{c}ka} }
@article{article, author = {Ore\v{s}ki, Dijana and Hajdin, Goran}, year = {2019}, pages = {136-141}, DOI = {10.1109/ICCAIRO47923.2019.00029}, keywords = {Data mining}, doi = {10.1109/ICCAIRO47923.2019.00029}, isbn = {9781728135724}, title = {A Comparative Study of Machine Learning Approaches on Learning Management System Data}, keyword = {Data mining}, publisherplace = {Atena, Gr\v{c}ka} }

Časopis indeksira:


  • Scopus

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