STATISTICAL EFFECTS OF SOCIAL MEDIA AND ICT ON THE ACADEMIC PERFORMANCE: AN APPLICATION OF PRINCIPAL COMPONENT ANALYSIS
DOI:
https://doi.org/10.46881/ajsn.v5i0.136Keywords:
Social Media, Principal Component Analysis, Eigen Values, Cumulative Variance, ICTAbstract
The evolution of Information communication Technology (ICT) has cut across all facets of society with its prevailing impacts on both academic and non-academic environments. This evolved Social media which has transformed and impacted on communication, learning, research and education in general due to easy access to devices such as smart phones, iPhones, black berry, tablets, iPod and laptops which are connected to the internet. Thus, the objectives of this research is to identify most prevalent factors responsible for the negative and positive effects of ICTinfluenced of social media on student academic performance with the aid of Principal Component Analysis. To achieve this objective, survey was carried out using direct questionnaire method that employed five factors which include; 'social media allows exchange of information', 'social media facilitates smooth interaction with the lecturers', 'social media helps to develop research skills through peer collaboration','Social media facilitate academic activities and coordinate with lecturers', 'group discussion arranged with course mates using social media improves academic performance'. The results revealed that two of the factors i.e social media allow easy exchange of information with peers and social media facilitate smooth interaction with the lecturers are the most prevalent with cumulative variance of 59.21%. These effects are found to be positive on student's academic performance with respective eigenvalues of 1.82 and 1.41.References
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