Assessment of the Availability and Utilization of Information Technology (It) Facilities in Bayelsa State Ministry of Education

Description

Download Assessment of the Availability and Utilization of Information Technology (It) Facilities in Bayelsa State Ministry of Education. Vocational Teacher Education students who are writing their projects can get this material to aid their research work.

Abstract

The study focused on the assessment of the availability and utilization of Information Facilities in the Bayelsa State Ministry of Education. The study utilizes a survey research design. Four research Questions were developed and two hypotheses were tested at 0.05 level of significance and relevant degrees of freedom.

The population comprised 300 research subjects made up of Unit directors, supervisors, secretaries and clerks of the Bayelsa State Ministry of Education. The entire population was studied.

The instrument used in data collection was a structured questionnaire duly validated by three experts from the Department of Vocational Teacher Education, University of Nigeria, Nsukka.

The reliability Coefficient of the instrument for the study was 0.82 which was calculated using Cronbach Alpha Reliability Test. The research questions were answered using mean and standard deviations while the hypotheses were tested using the t-test.

Introduction

The impact of current advancement in Information Technology (IT) on the environment is an issue that remains inexhaustible. Information technology has no doubt revolutionized business activities in today’s world.

It has brought speed, capacity, accuracy, reliability and ultimately the reduction of the world to a global business village (Brightman, 1986). In the past, information was undervalued, underestimated and underutilized.

Today, the accelerating pace of business activity demands greater need for timely and accurate information.

Information is of vital importance to any industry be it education, manufacturing, etc, to achieve short- or long-term goals.

Given quality information, management can rely more on deductive and analytical methods than on guesses and intuitive judgment, which it is forced to employ when many of the relevant facts are missing.

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