Factors Mediating the Link between Engagement and Satisfaction among Online English-Mediated Instruction Learners during COVID-19

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  • Author(s): Murdoch, Yvette Denise (ORCID Murdoch, Yvette Denise (ORCID 0000-0002-6767-7660); Lin, Yu-Hsuan (ORCID Lin, Yu-Hsuan (ORCID 0000-0002-4014-2586)
  • Language:
    English
  • Source:
    Electronic Journal of e-Learning. 2023 21(3):158-174.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Research
  • Additional Information
    • Availability:
      Academic Conferences Limited. Curtis Farm, Kidmore End, Nr Reading, RG4 9AY, UK. Tel: +44-1189-724148; Fax: +44-1189-724691; e-mail: [email protected]; Web site: https://academic-publishing.org/index.php/ejel/index
    • Peer Reviewed:
      Y
    • Source:
      17
    • Education Level:
      Higher Education
      Postsecondary Education
    • Subject Terms:
    • Subject Terms:
    • ISSN:
      1479-4403
    • Abstract:
      The COVID-19 pandemic forced universities worldwide to make the switch to online instruction, raising concerns about the quality of online courses and their impact on student satisfaction and engagement. This study aimed to explore Korean university students' satisfaction levels with online English-mediated instruction (EMI) courses during the pandemic and identify factors that influence class satisfaction. The purpose of this study was to provide insights into how EMI instructors could improve their online teaching practices during and after a pandemic. The hypothesis was that instructional strategies (IS), academic conscientiousness (AC), and academic integration (AI) could mediate the link between engagement and satisfaction. The study used a survey design to collect data from 219 Korean university students who took online EMI courses during the spring 2020 semester. The survey collected demographic information as well as students' perceptions of valuable IS, AC, AI, and satisfaction. Data analysis included independent samples t-test, correlation analysis, Structural Equation Modelling (SEM), and multiple regression analysis. The results showed IS use and satisfaction differed among disciplines. Specifically, there were significant differences in satisfaction levels between Arts, STEM, Business, Social Sciences, and Literature and Languages majors. Additionally, there were significant relationships between demographics, AC, AI, IS use, and satisfaction. SEM was used to provide a general view of factors mediating the link between engagement and satisfaction. The results revealed that AC, AI, and IS use mediated the link between engagement and satisfaction. Multiple regression analysis showed that students were more satisfied with instructors who demonstrated care and warmth using social networking sites to communicate. Overall, this study provides valuable insights into student satisfaction with online EMI courses during the COVID-19 pandemic and for the future of online EMI teaching-learning. The findings suggest that online EMI instructors should consider using social networking sites to communicate with students in order to increase satisfaction levels. Additionally, instructors should be aware that different disciplines may require different instructional strategies to maximize student engagement and satisfaction.
    • Abstract:
      As Provided
    • Publication Date:
      2023
    • Accession Number:
      EJ1394896