Statistical Evaluation of the Impact of ICT on Nigerian Universities

By Babatunde, Iwasokun Gabriel; Kayode, Alese Boniface et al. | International Journal of Education and Development using Information and Communication Technology, April 1, 2012 | Go to article overview

Statistical Evaluation of the Impact of ICT on Nigerian Universities


Babatunde, Iwasokun Gabriel, Kayode, Alese Boniface, Aderonke, Thompson, Ola, Aranuwa Felix, International Journal of Education and Development using Information and Communication Technology


ABSTRACT

This paper proposes twenty-four performance indices that were freely considered by the authors as relevant for the conceptualization and evaluation of the impact of ICT on the Nigerian Universities. The indices are contained in the questionnaire that was administered on forty five out of sixty three public universities that span the six geo-political zones of Nigeria to obtain relevant data. Copies of the questionnaire were administered at meetings with staff and students. The data obtained were subjected to factor analysis by principal components using Statistical Package for Social Scientists (SPSS). From this analysis, four factors were extracted with different set of indices. The extracted factors are communication and feedback, study aid, processing and administration and management and relationship. The percentage contribution of each factor to the current performance of ICT in the university system in Nigeria was estimated. Each percentage contribution also exhibits the degree of relevance of the associated indices. It was discovered that the total sum of the percentage contributions was less than 100. This showed that the performance indices of some extraneous factors which contribute in no small measure to the current performance of ICT in Nigerian universities were not given consideration in the research instrument. Such extraneous factors include but not limited to staff training, security of lives and properties, discipline among staff and student, curriculum and government policy on ICT. Moreover, a factor scores coefficient matrix was generated and used to estimate and rank the contribution of each respondent to the performance figure.

Keywords: Nigerian Universities, Information Communication Technology, Model, Factor Analysis, Performance

(ProQuest: ... denotes formulae omitted.)

INTRODUCTION

Nigeria as a developing country is currently experiencing rapid transformation in the various sectors of her economy. Rapid growth is being experienced with the participation of both public and private organizations in the Information and Communication Technology (ICT) sector. This has continued to pave way for ICT as a tool for finding, exploring, analyzing, exchanging and presenting information responsibly and without discrimination. (UNDP 2007) reported that ICT is presently a veritable tool for quick access to ideas and experiences from a wide range of people, communities and cultures and also offers solid support for improved and enhanced service delivery. Selected parameters for measuring the overall contributions of ICT to the university educational system in Nigeria are taken based on their support for quick access to information, improved response time, increased usefulness, greater reliability, availability and so on (Wescott et al 2007, Dinusha et al 2007, SUACC 2002 & Okele 1986). Such support could be in areas such as lecture delivery, private studies, information disseminations, program (conferences and seminars) planning and execution, communication at different levels, crises prevention and management. With this array of interest areas, ICT has become a versatile tool for running a smooth and efficient university system. Positive attitudes towards financing good ICT projects for the universities by major stakeholders such as government, parents and the private sectors is inevitably of paramount importance (AYIN 2006).

In Bach et al (2011), factor analysis was used for measuring the effectiveness and usefulness of ICT in managements and investments. A special base model for the systematic study of the features, factors and delivered benefits was used for the analysis. Survey was employed as an instrument to operationalize the model. The results revealed that system quality, service quality, use, user satisfaction and net benefits are the underlying constructs that guide decision making and planning process for successful ICT implementations. In Akinyokun et al (2011), an evaluation of ICT projects performance in the public sector of the Nigerian economy was carried out. …

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