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Engineering Students' Perception of Online Learning During the Emergency Nationwide Lockdown in Nigeria.
Abdulkareem, Zainab Olorunbukademi; Abdulkareem, Sulyman Age; Mustapha, Ismail B.
  • Abdulkareem ZO; Department of Telecommunication Science, Faculty of Information and Communication Technology, University of Ilorin, Ilorin, Nigeria.
  • Abdulkareem SA; Department of Information and Communication Science, Faculty of Information and Communication Technology, University of Ilorin, Ilorin, Nigeria.
  • Mustapha IB; Department of Computer Science, School of Computing, Universiti Teknologi Malaysia, 81310 Johor Baharu, Malaysia.
SN Comput Sci ; 3(4): 288, 2022.
Article in English | MEDLINE | ID: covidwho-1857935
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Qualitative research Language: English Journal: SN Comput Sci Year: 2022 Document Type: Article Affiliation country: S42979-022-01196-9

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Qualitative research Language: English Journal: SN Comput Sci Year: 2022 Document Type: Article Affiliation country: S42979-022-01196-9