MODELLING ICT INTEGRATION IN TEACHING AND LEARNING OF TECHNICAL EDUCATION
Babawuro Shu’aibu1, Abubakar Sadiq Bappah1 & Muhammad Sukri Bin Saud2 Show affiliations
- Abubakar Tafawa Balewa University, Nigeria
- Universiti Teknologi Malaysia (UTM), Malaysia
Journal of Social Sciences, Volume 9, Issue 2, pp. 81–88 · doi.org/10.3844/jssp.2013.81.88
Abstract
The use of ICT facilities in teaching and learning is promising as it continues to yield impressive result from the studies conducted around the developed world economies. Results of similar studies from developing economies revealed gap in the use of ICTs in teaching and learning, especially, in some higher institutions offering Technical and Vocational Education (TVE). Emerging developing economies like Nigeria, is now striving to integrate the use of ICTs in teaching and learning of its TVE programmes. In view of that, this research aimed at developing a functional model that consisted of areas considered important for integration of ICTs into teaching and learning process in TVE. Regression Model Analysis was used to analyse data collected from a Rasch analysed questionnaire distributed to a total of one hundred and forty (140) respondents drawn from five higher institutions offering TVE in north-eastern Nigeria. Being a mixed method adopted research; a qualitative data collected through interview was further subjected to qualitative analysis procedures. A functional model of five (5) important areas and 4 categories emerged.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2013 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
Shu’aibu, B., Bappah, A. S. & Saud, M. S. B. (2013). MODELLING ICT INTEGRATION IN TEACHING AND LEARNING OF TECHNICAL EDUCATION. Journal of Social Sciences, 9(2), 81–88. https://doi.org/10.3844/jssp.2013.81.88
- Licence
- © Science Publications
- Issue
- Volume 9, Issue 2
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
