Analyzing Social Media Use in TEFL via the Technology Acceptance Model in Indonesian Higher Education during the COVID-19 Pandemic

Autor/inn/en	Mukminin, Amirul; Muhaimin, Muhaimin; Prasojo, Lantip Diat; Khaeruddin, Khaeruddin; Habibi, Akhmad; Marzulina, Lenny; Harto, Kasinyo
Titel	Analyzing Social Media Use in TEFL via the Technology Acceptance Model in Indonesian Higher Education during the COVID-19 Pandemic
Quelle	In: Teaching English with Technology, 22 (2022) 1, S.3-22 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1642-1027
Schlagwörter	English (Second Language); Second Language Instruction; Language Teachers; COVID-19; Pandemics; School Closing; Educational Technology; Social Media; Technology Uses in Education; College Faculty; Teacher Attitudes; Foreign Countries; Usability; Value Judgment; Indonesia + Suchen Sie Ihr Suchwort? English as second language; English; Second Language; Englisch als Zweitsprache; Fremdsprachenunterricht; Language teacher; Sprachunterricht; School closings; Schule; Schließung; Schließung (von Schulen); Unterrichtsmedien; Soziale Medien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Fakultät; Lehrerverhalten; Ausland; Werturteil; Indonesien
Abstract	This survey study utilized an extended Technology Acceptance Model (TAM) to understand factors affecting Social Media Use in Teaching English as a Foreign Language (SMU-TEFL) during the COVID-19 pandemic to help improve the integration of effective and efficient technology with traditional education methods. The initial survey instrument that was used was adapted from prior studies and was validated through content validity, piloted, and distributed to 287 EFL faculty members from ten Indonesian universities. Factor analyses (exploratory and confirmatory) were conducted to purify the instrument. Path analysis through Covariance-Based Structural Equation Modelling (CB-SEM) was used to assess correlations of the hypotheses which were supported by the Pearson correlation coefficient. The findings of the study informed a valid and reliable model that sufficiently explains variance to measure factors affecting SMU-TEFL during the COVID-19 pandemic. Six significant relationships out of eight hypothetical statements were confirmed and elaborated. It is recommended that future research be conducted in order to improve the integration of technology into TEFL courses, especially in pandemic situations. (As Provided).
Anmerkungen	IATEFL Poland Computer Special Interest Group / University of Nicosia / Maria Curie-Sklodowska University. Ul. J. Sowinskiego 17, 20-041 Lublin, Poland. Web site: http://tewtjournal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01