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The Use of Online Flipped Classrooms during Covid-19 by Gifted Students: A Path Analysis Using UTAUT Model
International Journal of Instruction ; 16(2):213-228, 2023.
Article in English | Scopus | ID: covidwho-2296153
ABSTRACT
This study used the UTAUT model as the theoretical basis to assess and evaluate the use of online flipped classrooms during covid-19 by gifted students. The Online Flipped Classrooms model is supposed to be an active educational approach due to the interest shown by researchers and teachers in it. It allows learning to take place everywhere. Convenience sampling was employed to collect the required data. This involved gifted primary and middle and secondary school students at Makka schools for gifted students distributing the research instrument to their students. The model of this study is designed based on the UTAUT model. This study investigates the effects of four variables Performance expectancy, Effort expectancy, social influence, and Facilitating conditions on students' intentions to use Online Flipped Classrooms. BI correlates positively with performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). PE, EE, SI and FC together yielded a coefficient of multiple regression (R) of 0. 763 and a multiple correlation square of 0. 760. This shows that 76.0% of the total variance in behavioural intention to use (BI) of those who participated in the study is accounted for by the combination of PE, EE and SI. BI was positively impacted by PE, EE, SI and FC. Further studies with are recommended to examine the effect of OFC using UTAUT Model. © 2023 Eskisehir Osmangazi University. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Instruction Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Instruction Year: 2023 Document Type: Article