Examining the Roles of Perceived Connectedness and Motivation in Predicting Positive University Learning Outcomes During COVID-19 Emergency Remote Schooling Practices

Baohua YU*, Artem ZADOROZHNYY

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The sudden outbreak of COVID-19, which has presented great challenges to pedagogy, has catalyzed the transition of teaching and learning to the online mode. Uncovering the key factors that facilitate positive learning outcomes in online learning environments has thus gathered importance. To bring these factors to light, this study aims to understand and model the effect of perceived online connectedness on the relationship between student motivation and university learning outcomes. Based on 470 questionnaire responses collected by students from nine universities in Hong Kong and Macao, findings from structural equation modelling, showed students’ online connectedness partially mediated the relationship between online learning motivation and university learning outcomes. These results suggest that the learner’s motivation derives not only from the perceived relevance of the learning subject, but also from the learner’s attributes such as confidence, satisfaction, and attention during online learning. Moreover, students’ perceived connectedness, which considers the comfort, community, facilitation, interaction, and collaboration of students in an online context, plays a key role in students’ positive learning outcomes. Pedagogical implications for teachers, educators and students and university policy implications are discussed.
Original languageEnglish
Pages (from-to)537-555
Number of pages19
JournalTechnology, Knowledge and Learning
Volume29
Issue number1
Early online date10 Jul 2023
DOIs
Publication statusPublished - Mar 2024

Bibliographical note

Funding Information:
This study is supported by the Faculty Knowledge Transfer Fund (Reference Number: 04560) from the Education University of Hong Kong awarded to the second author.

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature B.V.

Keywords

  • Online connectedness
  • Learning motivation
  • University learning outcomes
  • Structural equation modelling

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