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Pregled bibliografske jedinice broj: 1147457

Learning analytics of YouTube videos linked to LMS Moodle


Kadoić, Nikola; Oreški, Dijana
Learning analytics of YouTube videos linked to LMS Moodle // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 622-627 doi:10.23919/MIPRO52101.2021.9597168 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1147457 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Learning analytics of YouTube videos linked to LMS Moodle

Autori
Kadoić, Nikola ; Oreški, Dijana

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

Izvornik
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 622-627

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
learning analytics ; YouTube ; videos ; Moodle ; COVID

Sažetak
In education, the COVID crisis requires saving and real-time availability of a high quantity of data, especially video materials. Consequently, some institutions use YouTube to store large amounts of video data and link them to the LMS Moodle. In this paper, we are dealing with analyzing YouTube analytics data and Moodle data to discover new knowledge about students' behavior and identify the factors that influence the students' success. The variables that are analyzed in our approach include: Type of video material, the complexity of the content in the video, the number of spikes, the number of dips, the week of semester, the type of study, absolute duration of the videos, the week of COVID isolation, subject, the number of students on the course, total views, the number of views in different time segments, total watch time, average percentage viewed in different time segments, the number of students that didn't watch the videos, the number of downloads of files associated with videos in different time segments and others. We applied our approach to videos from two courses. Results indicated differences in interactions with videos in different time periods, differences in patterns for different types of videos. Research results could help teachers to monitor video viewing rates at key points throughout the semester to identify level of engagement and act early to prevent students` dropout.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-UIP-2020-02-6312 - SIMON: Inteligentni sustav za automatsku selekciju algoritama strojnog učenja u društvenim znanostima (SIMON) (Oreški, Dijana, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Dijana Oreški (autor)

Avatar Url Nikola Kadoić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mipro.hr ieeexplore.ieee.org

Citiraj ovu publikaciju:

Kadoić, Nikola; Oreški, Dijana
Learning analytics of YouTube videos linked to LMS Moodle // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 622-627 doi:10.23919/MIPRO52101.2021.9597168 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kadoić, N. & Oreški, D. (2021) Learning analytics of YouTube videos linked to LMS Moodle. U: Skala, K. (ur.)2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings doi:10.23919/MIPRO52101.2021.9597168.
@article{article, author = {Kadoi\'{c}, Nikola and Ore\v{s}ki, Dijana}, editor = {Skala, K.}, year = {2021}, pages = {622-627}, DOI = {10.23919/MIPRO52101.2021.9597168}, keywords = {learning analytics, YouTube, videos, Moodle, COVID}, doi = {10.23919/MIPRO52101.2021.9597168}, title = {Learning analytics of YouTube videos linked to LMS Moodle}, keyword = {learning analytics, YouTube, videos, Moodle, COVID}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Kadoi\'{c}, Nikola and Ore\v{s}ki, Dijana}, editor = {Skala, K.}, year = {2021}, pages = {622-627}, DOI = {10.23919/MIPRO52101.2021.9597168}, keywords = {learning analytics, YouTube, videos, Moodle, COVID}, doi = {10.23919/MIPRO52101.2021.9597168}, title = {Learning analytics of YouTube videos linked to LMS Moodle}, keyword = {learning analytics, YouTube, videos, Moodle, COVID}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }

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