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Exploring first-year university students' blended learning experiences during the COVID-19 through the community of inquiry model
International Journal of Information and Learning Technology ; 2022.
Article in English | Web of Science | ID: covidwho-1997103
ABSTRACT
Purpose While blended learning has been proved to be successful in learning outcomes, the landscape of blended learning has changed under coronavirus disease (COVID-19) pandemic. Hence, the present study aims to explore first-year university students' perceptions of wholly blended learning during the pandemic, through the three constructs in the community of inquiry (CoI) instrument, namely teaching, social and cognitive presences (CPs). Design/methodology/approach Survey data (N = 449) were collected from the 2020 Fall Cohort in Hong Kong for quantitative analysis. Reliability and validity of the CoI model is examined, followed by correlation and independent-samples t-tests. Findings First-year students perceived overall low teaching, social and CPs with social presence (SP) scoring the highest. Findings also indicated that teaching presence (TP) significantly determined CP and SP;SP was a mediating variable in CoI. Students' gender and prior learning experience (online/blended) were not associated with perceptions of presences. Practical implications Students today are more familiar with technology-based communication, and staying up to date in educational technology is crucial for teachers. Trainings in online teaching should be provided to teachers. Also, interactive technology should focus on improving peer interaction. Originality/value The proposed study is novel in that it used the CoI model among first-year students in Hong Kong during the pandemic. Findings are valuable to higher education in understanding students' perception of bended learning and in addressing issues.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Qualitative research Language: English Journal: International Journal of Information and Learning Technology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Qualitative research Language: English Journal: International Journal of Information and Learning Technology Year: 2022 Document Type: Article