Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1260730

Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System


Peraić, Ivan; Grubišić, Ani
Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System // HCI International 2022 - Late Breaking Papers: Interaction in New Media, Learning and Games: Proceedings / Meiselwitz, Gabriele ... [et al.] (ur.).
Berlin: Springer, 2022. str. 390-408 doi:10.1007/978-3-031-22131-6_30 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1260730 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System

Autori
Peraić, Ivan ; Grubišić, Ani

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

Izvornik
HCI International 2022 - Late Breaking Papers: Interaction in New Media, Learning and Games: Proceedings / Meiselwitz, Gabriele ... [et al.] - Berlin : Springer, 2022, 390-408

ISBN
978-3-031-22131-6

Skup
24th International Conference on Human-Computer Interaction, HCII 2022

Mjesto i datum
Online, 26.06.2022. - 01.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Learning analytics ; Learning analytics dashboard ; Evaluation

Sažetak
Learning analytics provides a potential for adapting learning, teaching and knowledge testing processes to individual needs. One of the ways of using learning analytics is a dashboard for providing feedback to students and teachers. This paper presents the development and evaluation of the learning analytics dashboard for students (LAD-S). The LAD-S displays three views: a look at student success, system activities and prediction based on machine learning algorithms. We have used LAD-S as a part of Moodle online courses, one during the second semester in the 2020/2021, and the other two during the first semester in the 2021/2022. A survey was designed to examine students’ opinion about the LAD-S that included student’s self-awareness, influence of the dashboard on learning effectiveness, satisfaction with the type of data collected, usefulness and ease-of-use, intention to use the learning analytics dashboard. Data from 33 undergraduate and graduate students were collected. The results have shown that students are satisfied with all examined aspects of the LAD-S above the average. Students express the greatest satisfaction for ease of use (M = 3.79), clarity of collected data (M = 3.6), usefulness (M = 3.6), SUS questionnaire (M = 3.6), behavioral intention (M = 3.4) and satisfaction with individual functions of LAD-S (M = 3.4). Lower, yet above-average satisfaction was obtained for the impact of the LAD-S on more effective learning (M = 3.2) ; intention to use (M = 3.3) and satisfaction with the possibility of behavioral changes (M = 3.1). To verify the reliability of the measures used, the Cronbach’s alpha reliability coefficient was calculated for each scale. Satisfactory reliability of all measures used was obtained, with alpha coefficients ranging from 0.704 for the SUS questionnaire to 0.942 for the ease-of-use measure.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
--N00014-20-1-2066 - Poboljšavanje prilagodljivog računalom oblikovanog nastavnog sadržaja temeljenog na obradi prirodnog jezika (E-AC&NL Tutor) (Grubišić, Ani) ( CroRIS)

Ustanove:
Prirodoslovno-matematički fakultet, Split,
Sveučilište u Zadru

Profili:

Avatar Url Ivan Peraić (autor)

Avatar Url Ani Grubišić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Peraić, Ivan; Grubišić, Ani
Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System // HCI International 2022 - Late Breaking Papers: Interaction in New Media, Learning and Games: Proceedings / Meiselwitz, Gabriele ... [et al.] (ur.).
Berlin: Springer, 2022. str. 390-408 doi:10.1007/978-3-031-22131-6_30 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Peraić, I. & Grubišić, A. (2022) Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System. U: Meiselwitz, G. (ur.)HCI International 2022 - Late Breaking Papers: Interaction in New Media, Learning and Games: Proceedings doi:10.1007/978-3-031-22131-6_30.
@article{article, author = {Perai\'{c}, Ivan and Grubi\v{s}i\'{c}, Ani}, editor = {Meiselwitz, G.}, year = {2022}, pages = {390-408}, DOI = {10.1007/978-3-031-22131-6\_30}, keywords = {Learning analytics, Learning analytics dashboard, Evaluation}, doi = {10.1007/978-3-031-22131-6\_30}, isbn = {978-3-031-22131-6}, title = {Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System}, keyword = {Learning analytics, Learning analytics dashboard, Evaluation}, publisher = {Springer}, publisherplace = {online} }
@article{article, author = {Perai\'{c}, Ivan and Grubi\v{s}i\'{c}, Ani}, editor = {Meiselwitz, G.}, year = {2022}, pages = {390-408}, DOI = {10.1007/978-3-031-22131-6\_30}, keywords = {Learning analytics, Learning analytics dashboard, Evaluation}, doi = {10.1007/978-3-031-22131-6\_30}, isbn = {978-3-031-22131-6}, title = {Development and Evaluation of a Learning Analytics Dashboard for Moodle Learning Management System}, keyword = {Learning analytics, Learning analytics dashboard, Evaluation}, publisher = {Springer}, publisherplace = {online} }

Časopis indeksira:


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


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font