COVID-19 and Contactless Learning and Teaching: The Impact of Active Participation and User Acceptance

Ka Long Chan, Xiaojing Song, Coco Yin Tung Kwok, Roy Kam, Benedict Shing Bun Chan, Chun Ho Liu, Frankie Kwan Kit Wong, Man Sing Wong*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingChapterpeer-review


Tertiary education in Hong Kong has dramatically changed after the outbreak of COVID-19. Teaching pedagogy and delivery method have been transformed into “Contactless Learning and Teaching” and online learning. However, the focus has been on online learning while seldom analyzing the effect of “Contactless Learning and Teaching” among previous research. This research addressed this gap by studying 156 university students in Hong Kong. ATLAS, a mobile app integrated with iBeacon technology was developed to deliver learning materials in “Contactless Learning and Teaching”. The findings indicated that students who spent more time on “Contactless Learning and Teaching” have better academic performance. The active participation in “Contactless Learning and Teaching” and better academic results could also be explained by the Technology Acceptance Model in this study. The current study proves that iBeacon displays the potential of delivering learning and teaching materials amid the pandemic using the “Contactless Learning and Teaching” approach.

Original languageEnglish
Title of host publicationApplied Degree Education and the Future of Learning
EditorsChristina Hong, Will W. K. Ma
PublisherSpringer Singapore
Number of pages22
ISBN (Electronic)9789811698125
ISBN (Print)9789811698118
Publication statusPublished - 4 Jun 2022

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971

Scopus Subject Areas

  • Education
  • Computer Science Applications
  • Computer Networks and Communications

User-Defined Keywords

  • Academic performance
  • Contactless learning and teaching
  • COVID-19
  • iBeacon/BLE technology
  • Technology acceptance model


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