Engineering Students’ Perception of Online Learning During the Emergency Nationwide Lockdown in Nigeria

Zainab Olorunbukademi Abdulkareem*, Sulyman Age Abdulkareem, Ismail B. Mustapha

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The global pandemic forced the closure of learning institutions and an abrupt switch from physical (face-to-face) learning to e-learning. The Academic Staff Union of University postulates that e-learning will not work during the period. This paper evaluates the attitude of engineering students in a Nigerian private university to e-learning during the period of national lockdown in Nigeria. A questionnaire was designed to collect students’ attitudes about learning efficiency, quality, and associated cost. Ease or difficulty of the transition to e-learning, digital skills requirement, commitment to e-learning, digital skills improvement, and preferred test mode were studied. In addition, the relationship between gender and preferred test mode was examined. 73 students responded to the questionnaire. A significantly lower percentage (4%) of the engineering students prefer the e-learning method, while a more significant percentage (62%) of the respondents prefer blended learning. Gender has no significant relationship with the preferred learning mode of the students. Moreover, the students found the e-learning approach to be expensive. Finally, there is still much to be done by Nigerian educational stakeholders to improve the experience of e-learning in Nigeria.

Original languageEnglish
Article number288
JournalSN Computer Science
Volume3
Issue number4
DOIs
StatePublished - Jul 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

Keywords

  • COVID-19
  • Education
  • Engineering
  • Undergraduate students
  • e-Learning

ASJC Scopus subject areas

  • General Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics
  • Artificial Intelligence

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