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Pregled bibliografske jedinice broj: 714550

Data mining in hybrid learning: Possibility to predict the final exam result

Gamulin, Jasna; Gamulin, Ozren; Kermek, Dragutin
Data mining in hybrid learning: Possibility to predict the final exam result // 36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO-2013/CE) / Čičin-Šain, Marina ; Sunde, Jadranka ; Uroda, Ivan ; Sluganović Ivanka (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE), 2013. str. 591-596 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Data mining in hybrid learning: Possibility to predict the final exam result

Autori
Gamulin, Jasna ; Gamulin, Ozren ; Kermek, Dragutin

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

Izvornik
36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO-2013/CE) / Čičin-Šain, Marina ; Sunde, Jadranka ; Uroda, Ivan ; Sluganović Ivanka - Opatija : Institute of Electrical and Electronics Engineers (IEEE), 2013, 591-596

ISBN
978-953-233-076-2

Skup
36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO-2013/CE)

Mjesto i datum
Opatija, Hrvatska, 20.05.2013. - 24.05.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Internet ; computer aided instruction ; data mining ; educational administrative data processing educational courses ; physics computing ; physics education ; principal component analysis ; regression analysis ; teaching

Sažetak
The hybrid learning environment that uses traditional lectures and examinations in conjunction with online learning resources and online assessment tools provides numerous data on students' activities and assessment scores which could be used for constructing a final exam result prediction model. In this paper the data on activities and assessments supported by information and communication technology (ICT) of 302 students enrolled in the first year Physics course of a biomedical university study program have been used to establish the correlations between scores on written midterm exams, scores on web-based formative assessment during seminar teaching, scores on web-based formative assessment during laboratory teaching, scores and time used for online self-assessment test, number of Moodle logins, number of approaches to specific Moodle resources and final exam result. As prediction methods the Principal Component Regression (PCR) and Partial Least Square regression (PLS) have been used, especially due to assumed multi-colinearity of predictive variables and dimension reduction requirement. The model could be useful for students and for teachers who would have the possibility to react and remedy the predicted final exam result if necessary.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet organizacije i informatike, Varaždin,
Medicinski fakultet, Zagreb

Profili:

Avatar Url Dragutin Kermek (autor)

http

Citiraj ovu publikaciju:

Gamulin, Jasna; Gamulin, Ozren; Kermek, Dragutin
Data mining in hybrid learning: Possibility to predict the final exam result // 36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO-2013/CE) / Čičin-Šain, Marina ; Sunde, Jadranka ; Uroda, Ivan ; Sluganović Ivanka (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE), 2013. str. 591-596 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gamulin, J., Gamulin, O. & Kermek, D. (2013) Data mining in hybrid learning: Possibility to predict the final exam result. U: Čičin-Šain, M., Sunde, J., Uroda, I. & Sluganović Ivanka (ur.)36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO-2013/CE).
@article{article, author = {Gamulin, Jasna and Gamulin, Ozren and Kermek, Dragutin}, year = {2013}, pages = {591-596}, keywords = {Internet, computer aided instruction, data mining, educational administrative data processing educational courses, physics computing, physics education, principal component analysis, regression analysis, teaching}, isbn = {978-953-233-076-2}, title = {Data mining in hybrid learning: Possibility to predict the final exam result}, keyword = {Internet, computer aided instruction, data mining, educational administrative data processing educational courses, physics computing, physics education, principal component analysis, regression analysis, teaching}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Gamulin, Jasna and Gamulin, Ozren and Kermek, Dragutin}, year = {2013}, pages = {591-596}, keywords = {Internet, computer aided instruction, data mining, educational administrative data processing educational courses, physics computing, physics education, principal component analysis, regression analysis, teaching}, isbn = {978-953-233-076-2}, title = {Data mining in hybrid learning: Possibility to predict the final exam result}, keyword = {Internet, computer aided instruction, data mining, educational administrative data processing educational courses, physics computing, physics education, principal component analysis, regression analysis, teaching}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Opatija, Hrvatska} }

Časopis indeksira:


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

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