Student-Informed Technology Adoption in Higher Education of Developing Countries

Yasir Bashir Kankia, Xianhui Che, Barry Ip, Wei Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution


As traditional information technology systems become more costlier and complex to maintain, they are also no longer able to meet current educational requirements, notwithstanding issues with the lack of scalability and flexibility. Many of these issues can be addressed by the concept of Student-Informed Technology and a newly-proposed comprehensive technology readiness adoption (CTRAM) model. The five central components of CTRAM were assessed at six different universities in Nigeria which comprises of three public/Government-funded universities and three private-owned universities. The result of the study confirmed that subjective norms of students evidence a statistically significant relationship with student perceptions of cloud technology adoption in higher educational institutions in the country. All five CTRAM components: perceived innovation, perceived usefulness, perceived easiness, attitude toward technology and perceived reliability are statistically significant as a technological factor in determining students’ perception of cloud technology adoption. Results from multiple regression also clearly indicate the potential joint effect among all five factors. These findings support the existing body of knowledge regarding technological adoption in the educational sector, especially in developing countries towards their future investment and improvement.
Original languageEnglish
Title of host publication2023 International Conference on Information Network and Computer Communications (INCC)
Place of PublicationBeijing, China
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)979-8-3503-3613-9
ISBN (Print)979-8-3503-3614-6
Publication statusPublished - 29 Nov 2023
Event2023 International Conference on Information Network and Computer Communications (INCC) - Beijing, China
Duration: 27 Oct 202329 Oct 2023


Conference2023 International Conference on Information Network and Computer Communications (INCC)
Abbreviated titleINCC 2023
Internet address


  • Training
  • Cloud computing
  • Technological innovation
  • Computational modeling
  • Scalability
  • Developing countries
  • Data collection
  • student
  • informed technology adoption
  • higher education
  • developing countries


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