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Computer Anxiety and ICT Utilization of Program Heads in a State University

Jesus M. Meneses III

Abstract—This study aimed to determine the correlation between ICT utilization and computer anxiety among the program heads of a state university given the increase in ICT usage requirements due to the Covid-19 pandemic.
The study was carried out in a correlational survey model. All 33 faculty members designated as program heads across all courses in Eastern Samar State University colleges were involved as respondents. The data were assessed using a computer anxiety test (CARS) and a test for the level of computer utilization. Descriptive statistics and Pearson's r correlation coefficient using MS Excel and free online software calculators were used to analyze the data.
The result showed that ICT utilization was generally high, and the majority of the respondents had no computer anxiety. It was found further that a moderate negative linear relationship exists between the respondents' level of computer anxiety and their level of ICT utilization. The increase in ICT utilization may suggest a decrease in computer anxiety among the respondents and therefore reject the null hypothesis. Hence, due consideration of psychological fitness to use ICT in the context of education supervision was suggested. Further study involving other members of the organization was also suggested to explore or strengthen these findings, or otherwise.

Index Terms—Computer anxiety, ICT utilization, techno-phobia, techno stress.

The author is with the Computer Science Department of Eastern Samar State University, Borongan City, Eastern Samar, Philippines (e-mail: jjnemesis2@gmail.com).

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Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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