Analyzing social media use in TEFL via the technology acceptance model in Indonesian higher education during the Covid-19 pandemic

• Authors: Amirul Mukminin , Muhaimin Muhaimin , Lantip Diat Prasojo , Khaeruddin Khaeruddin , Akhmad Habibi , Lenny Marzulina , Kasinyo Harto

Abstracts

EN

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.

Keywords

EN

social media; use; Covid-19; TEFL; factor analysis

• Publisher: IATEFL Poland Computer Special Interest Group & University of Nicosia
• Journal: Teaching English with Technology
• Year: 2022
• Volume: 22
• Issue: 1
• Pages: 3-22

Dates

published

2022

Contributors

author

Amirul Mukminin

• Universitas Jambi, Jambi, Indonesia

author

Muhaimin Muhaimin

• Universitas Padjadjaran, Bandung, Indonesia

author

Lantip Diat Prasojo

• Universitas Negeri Yogyakarta, Indonesia

author

Khaeruddin Khaeruddin

• LPDP Indonesia, Jakarta, Indonesia

author

Akhmad Habibi

• LPDP Indonesia, Jakarta, Indonesia

author

Lenny Marzulina

• Universitas Islam Negeri Raden Fatah, Palembang, Indonesia

author

Kasinyo Harto

• Universitas Islam Negeri Raden Fatah, Palembang, Indonesia

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Identifiers

Biblioteka Nauki

2087213