Fear from COVID-19 and Technology Adoption: The Impact of Google Meet during Coronavirus Pandemic

Autor/inn/en	Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled
Titel	Fear from COVID-19 and Technology Adoption: The Impact of Google Meet during Coronavirus Pandemic
Quelle	In: Interactive Learning Environments, 31 (2023) 3, S.1293-1308 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Al-Maroof, Rana Saeed) ORCID (Salloum, Said A.) ORCID (Hassanien, Aboul Ella) ORCID (Shaalan, Khaled)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2020.1830121
Schlagwörter	COVID-19; Pandemics; Fear; Educational Technology; Technology Integration; Emotional Response; Value Judgment; Difficulty Level; Usability; Behavior Standards; Predictor Variables; Intention; Foreign Countries; College Students; College Faculty; Computer Mediated Communication; United Arab Emirates + Suchen Sie Ihr Suchwort? Furcht; Unterrichtsmedien; Emotionales Verhalten; Werturteil; Schwierigkeitsgrad; Prädiktor; Ausland; Collegestudent; Fakultät; Computerkonferenz; Vereinigte Arabische Emirate
Abstract	This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. The main hypotheses of this study are related to the effect of COVID-19 on the adoption of Google Meet© as COVID-19 rise s various types of fear. During the Coronavirus pandemic, fear due to family lockdown situation, fear of education failure and fear of losing social relationships are the most common types of threat that may face students and teachers/educators. These types of fears are connected with two important factors within TAM theory, which are: perceived ease of use (PEOU) and perceived usefulness (PU), and with another external factor of TAM, which is subjective norm (SN). The results revealed that both data analysis techniques have successfully provided support to all the hypothesized relationships of the research model. More interesting, the J48 classifier has performed better than the other classifiers in predicting the dependent variable in most cases. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01