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Pregled bibliografske jedinice broj: 822602

The application of formative e-assessment data in final exam results modeling using neural networks

Gamulin, Jasna; Gamulin, Ozren; Kermek, Dragutin
The application of formative e-assessment data in final exam results modeling using neural networks // 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO -2015/CE), DOI 10.1109/MIPRO.2015.7160367 / Čičin-Šain, Marina ; Sluganović Ivanka ; Čupić, Marko ; Henno, Jaak ; Jaakkola, Hann (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 726-730 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
The application of formative e-assessment data in final exam results modeling using neural networks

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

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

Izvornik
38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO -2015/CE), DOI 10.1109/MIPRO.2015.7160367 / Čičin-Šain, Marina ; Sluganović Ivanka ; Čupić, Marko ; Henno, Jaak ; Jaakkola, Hann - Opatija : Institute of Electrical and Electronics Engineers (IEEE), 2015, 726-730

ISBN
9789532330854

Skup
38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO - 2015/CE)

Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
formative e-assessment ; neural networks ; modeling ; missing data

Sažetak
After introducing e-assessment into laboratory and seminar teaching of physics in a biomedical university study program the improved final practical exam passing rate was observed. The final practical exam passing rate increased from approximately 60% to more than 80%. Encouraged by these results, in this paper we will try to show a correlation between the results of e-assessments collected during continuous monitoring of student performance and their success in final tests using neural networks as modeling method. The models will be built using various sets of data collected during three academic years. Aside from the impact on the final practical exam passing rate, the models should help us in dealing with the missing data problems. Some data are missing due to technical problems and some due to errors in student handling of e-application. In this paper we have observed data collected by two types of e-assessment. The first type of e-assessment is carried out during laboratory exercises and it influences the formation of the final grade. The second type of e-assessment is performed during seminars and has no impact on the final grade.

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)

Avatar Url Ozren Gamulin (autor)

http

Citiraj ovu publikaciju:

Gamulin, Jasna; Gamulin, Ozren; Kermek, Dragutin
The application of formative e-assessment data in final exam results modeling using neural networks // 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO -2015/CE), DOI 10.1109/MIPRO.2015.7160367 / Čičin-Šain, Marina ; Sluganović Ivanka ; Čupić, Marko ; Henno, Jaak ; Jaakkola, Hann (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 726-730 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gamulin, J., Gamulin, O. & Kermek, D. (2015) The application of formative e-assessment data in final exam results modeling using neural networks. U: Čičin-Šain, M., Sluganović Ivanka, Čupić, M., Henno, J. & Jaakkola, H. (ur.)38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO -2015/CE), DOI 10.1109/MIPRO.2015.7160367.
@article{article, author = {Gamulin, Jasna and Gamulin, Ozren and Kermek, Dragutin}, year = {2015}, pages = {726-730}, keywords = {formative e-assessment, neural networks, modeling, missing data}, isbn = {9789532330854}, title = {The application of formative e-assessment data in final exam results modeling using neural networks}, keyword = {formative e-assessment, neural networks, modeling, missing data}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Gamulin, Jasna and Gamulin, Ozren and Kermek, Dragutin}, year = {2015}, pages = {726-730}, keywords = {formative e-assessment, neural networks, modeling, missing data}, isbn = {9789532330854}, title = {The application of formative e-assessment data in final exam results modeling using neural networks}, keyword = {formative e-assessment, neural networks, modeling, missing data}, 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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