Anele, Ezebunwo; Ekereke, Aidam Benjamin; Ogba, Uwaoma Flora Ph.D; Emmanuel King Ekong; 1Beshel, Ignatius Akwagiobe; & Agama, Victor Ubugha
DIGITAL SKILLS AS PREDICTORS OF TECHNOLOGY-DRIVEN RESEARCH ABILITY OF POSTGRADUATES IN THE UNIVERSITY OF CALABAR, CALABAR, CROSS RIVER STATE, NIGERIA
The study investigated digital skills as predictors of the technology-driven research ability of postgraduates at the University of Calabar, Cross River State, Nigeria. Two research questions were formulated to guide the study in line with the corresponding hypotheses. A correlational design was adopted for the study, and a stratified random sampling technique was used to obtain a sample of 400 postgraduates in the University of Calabar. Data for the analysis was collected using questionnaires titled Web-Based Skills Questionnaire (WBSQ), Computer Literacy Skills Questionnaire (CLSQ), and Technology-Driven Research Ability Questionnaire (TDRAQ). Cronbach's Alpha was used to establish the reliability of the instruments. It yielded coefficients of .72, .78, and .81. The study questions were answered using mean and standard deviation, and hypotheses were subsequently tested using simple linear regression analysis. The findings revealed that web-based skills significantly predict the technology-driven research ability of postgraduates, and computer literacy skills significantly predict the technology-driven research ability of postgraduates. It was concluded that digital skills significantly predict the technology-driven research ability of postgraduates at the University of Calabar. Based on this study's findings, it was suggested that universities incorporate web-based skills training into postgraduate courses to improve students' research abilities.
Keywords: Web-based skills, Computer literacy skills, Technology-driven research ability
Anele, Ezebunwo; Ekereke, Aidam Benjamin; Ogba, Uwaoma Flora Ph.D; Emmanuel King Ekong; 1Beshel, Ignatius Akwagiobe; & Agama, Victor Ubugha
DIGITAL SKILLS AS PREDICTORS OF TECHNOLOGY-DRIVEN RESEARCH ABILITY OF POSTGRADUATES IN THE UNIVERSITY OF CALABAR, CALABAR, CROSS RIVER STATE, NIGERIA
The study investigated digital skills as predictors of the technology-driven research ability of postgraduates at the University of Calabar, Cross River State, Nigeria. Two research questions were formulated to guide the study in line with the corresponding hypotheses. A correlational design was adopted for the study, and a stratified random sampling technique was used to obtain a sample of 400 postgraduates in the University of Calabar. Data for the analysis was collected using questionnaires titled Web-Based Skills Questionnaire (WBSQ), Computer Literacy Skills Questionnaire (CLSQ), and Technology-Driven Research Ability Questionnaire (TDRAQ). Cronbach's Alpha was used to establish the reliability of the instruments. It yielded coefficients of .72, .78, and .81. The study questions were answered using mean and standard deviation, and hypotheses were subsequently tested using simple linear regression analysis. The findings revealed that web-based skills significantly predict the technology-driven research ability of postgraduates, and computer literacy skills significantly predict the technology-driven research ability of postgraduates. It was concluded that digital skills significantly predict the technology-driven research ability of postgraduates at the University of Calabar. Based on this study's findings, it was suggested that universities incorporate web-based skills training into postgraduate courses to improve students' research abilities. Keywords: Web-based skills, Computer literacy skills, Technology-driven research ability