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Pregled bibliografske jedinice broj: 972972

Machine learning in education - a survey of current research trends


Kučak, Danijel; Juričić, Vedran; Đambić, Goran
Machine learning in education - a survey of current research trends // Proceedings of the 29th DAAAM International Symposium / Katalinić, Branko (ur.).
Beč: DAAAM International Vienna, 2018. str. 406-410 doi:10.2507/29th.daaam.proceedings.059 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 972972 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Machine learning in education - a survey of current research trends

Autori
Kučak, Danijel ; Juričić, Vedran ; Đambić, Goran

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

Izvornik
Proceedings of the 29th DAAAM International Symposium / Katalinić, Branko - Beč : DAAAM International Vienna, 2018, 406-410

ISBN
978-3-902734-20-4

Skup
29th DAAAM International Symposium on intelligent manufacturing and automation

Mjesto i datum
Zadar, Hrvatska, 24.10.2018. - 27.10.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
machine learning ; education ; student performance ; student retention

Sažetak
Nowadays, Machine Learning (ML) is one of the most promising application areas in a field of Information Technology where its application scope is almost unlimited. The application of machine learning in an education area is currently very interesting to researchers and scientists, and it is the main focus of our study. The aim of this paper is to evaluate the possibilities of applying and using machine learning in the education area. This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of education, to determine the current trends of using machine learning in education, and to determine its current and future applications.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Filozofski fakultet, Zagreb,
Visoko učilište Algebra, Zagreb

Profili:

Avatar Url Goran Đambić (autor)

Avatar Url Danijel Kučak (autor)

Avatar Url Vedran Juričić (autor)

Poveznice na cjeloviti tekst rada:

doi www.daaam.info

Citiraj ovu publikaciju:

Kučak, Danijel; Juričić, Vedran; Đambić, Goran
Machine learning in education - a survey of current research trends // Proceedings of the 29th DAAAM International Symposium / Katalinić, Branko (ur.).
Beč: DAAAM International Vienna, 2018. str. 406-410 doi:10.2507/29th.daaam.proceedings.059 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kučak, D., Juričić, V. & Đambić, G. (2018) Machine learning in education - a survey of current research trends. U: Katalinić, B. (ur.)Proceedings of the 29th DAAAM International Symposium doi:10.2507/29th.daaam.proceedings.059.
@article{article, author = {Ku\v{c}ak, Danijel and Juri\v{c}i\'{c}, Vedran and \DJambi\'{c}, Goran}, editor = {Katalini\'{c}, B.}, year = {2018}, pages = {406-410}, DOI = {10.2507/29th.daaam.proceedings.059}, keywords = {machine learning, education, student performance, student retention}, doi = {10.2507/29th.daaam.proceedings.059}, isbn = {978-3-902734-20-4}, title = {Machine learning in education - a survey of current research trends}, keyword = {machine learning, education, student performance, student retention}, publisher = {DAAAM International Vienna}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Ku\v{c}ak, Danijel and Juri\v{c}i\'{c}, Vedran and \DJambi\'{c}, Goran}, editor = {Katalini\'{c}, B.}, year = {2018}, pages = {406-410}, DOI = {10.2507/29th.daaam.proceedings.059}, keywords = {machine learning, education, student performance, student retention}, doi = {10.2507/29th.daaam.proceedings.059}, isbn = {978-3-902734-20-4}, title = {Machine learning in education - a survey of current research trends}, keyword = {machine learning, education, student performance, student retention}, publisher = {DAAAM International Vienna}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Scopus


Citati:





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