Pregled bibliografske jedinice broj: 1129672
Identifying Clusters of Primary and Secondary School Teachers According to Their Educational Digital Content Perceptions
Identifying Clusters of Primary and Secondary School Teachers According to Their Educational Digital Content Perceptions // Proceedings of 2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR) / Tugrul, Daim (ur.).
Dubrovnik, 2021. str. 211-216 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1129672 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Identifying Clusters of Primary and Secondary
School
Teachers According to Their Educational Digital
Content Perceptions
Autori
Oreški, Dijana ; Hajdin, Goran ; Plantak Vukovac, Dijana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR)
/ Tugrul, Daim - Dubrovnik, 2021, 211-216
ISBN
978-1-6654-4091-2
Skup
2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR)
Mjesto i datum
Dubrovnik, Hrvatska, 17.05.2021. - 21.05.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
digital educational content (DEC) ; cluster analysis ; teachers` evaluation
Sažetak
The e-Schools project strives to increase information and communication technology (ICT) usage in primary and secondary schools in Croatia by providing ICT educational tools and services for teachers, students and schools in general. Among the others, digital educational contents (DEC) for the students were developed, tested and evaluated. In order to investigate teachers' perceptions about the quality and satisfaction with DECs, a survey was conducted. The total of 1653 teachers participated in the online questionnaire after their students used DEC for a period of time/on their courses. After the data cleaning phase 1 623 teachers were included into data modelling. Data was analysed by means of descriptive data mining technique: latent class cluster analysis (LCCA) was performed with an aim to identify groups of teachers that share similar perceptions on the DEC. Four groups of teachers were identified, differentiating in their level of positive or negative perceptions with certain aspects of DEC: completely satisfied teachers, satisfied teachers, slightly satisfied teachers and slightly unsatisfied. In addition to quantitative analysis, qualitative analysis was performed in order to gain insight into attitudes and experiences that drive teachers’ perspectives.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus