Awareness and Perceived Adoption of Computer-Based Testing and Google Forms for Study Habits among Islamic Studies Students in Colleges of Education in North-West Nigeria
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Abstract
The study examined students' awareness of and perceived adoption of Computer-Based Testing (CBT) and Google Forms, and their perceptions of the usefulness of these tools in supporting study habits, among NCE II Islamic Studies students in Colleges of Education in North-West Nigeria. A descriptive survey design was used. The researcher sampled 291 of the 1,175 NCE II Islamic Studies students using purposive sampling, selecting intact classes from five Colleges of Education. In this study, “awareness” refers to students’ reported knowledge and familiarity with the tools, while “adoption” refers to students’ perception that their lecturers use the tools in teaching and assessment. Data were collected with the researcher-developed Digital Evaluation Tools for Study Habits Questionnaire (DETSHQ), a 20-item instrument on a four-point scale with an internal consistency coefficient of 0.82. Means and standard deviations were analysed against a criterion mean of 2.50. Students reported awareness of CBT and Google Forms and of how they support study habits (cumulative M = 2.80, SD = 1.13), and reported that the tools have been adopted by their lecturers and that this supports their study habits (cumulative M = 2.95, SD = 1.11), both above the criterion mean; because all item means fell between 2.55 and 3.11, the results indicate moderate rather than strong agreement. The study was descriptive and based on self-reported perceptions, so the results reflect students’ perceptions and do not show statistical relationships or causal effects. The researchers recommend strengthened orientation and awareness programmes on CBT and Google Forms at the Colleges of Education, and more frequent lecturer use of the tools to support students’ study habits.
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Copyright (c) 2026 Aliyu Mustapha, Rabi Bara'u (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Agbo, O. E., & Ugbe, E. B. (2022). Assessment of gender and age differences in prospective university students' attitudes towards computer-based testing in the University of Calabar, Nigeria. Lwati: A Journal of Contemporary Research, 19(1), 25–33.
Credé, M., & Kuncel, N. R. (2008). Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on Psychological Science, 3(6), 425–453. https://doi.org/10.1111/j.1745-6924.2008.00089.x
Danjuma, G. S., & Douglas, E. N. (2025). Perception of lecturers of Taraba State University on Google Form as an Effective tool for Survey and Students' Assessment. BW Academic Journal, 15(2), 107–115.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Ibrahim, A.-W., & Iliyasu, A. (2021). E-assessment, inequity and accountability in the new normal era and beyond in Nigerian universities. Journal of Digital Learning and Education, 1(3), 158–166.
Ibrahim, A.-W., Taura, A. A., Iliyasu, A., & Rabiu, A. U. (2023). Digitalising educational assessments in a Nigerian university: An examination of undergraduate students' digital behaviours and experiences. Journal of Teaching & Teacher Education, 11(2), 47–56.
Kareem, R. A., & Salawu, S. O. (2021). Design and implementation of computer-based examination: A replacement for paper-based examination. Journal of the Nigerian Association of Mathematical Physics, 40, 243–248.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
Macan, T. H., Shahani, C., Dipboye, R. L., & Phillips, A. P. (1990). College students' time management: Correlations with academic performance and stress. Journal of Educational Psychology, 82(4), 760–768. https://doi.org/10.1037/0022-0663.82.4.760
Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., & Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior, 76, 703–714. https://doi.org/10.1016/j.chb.2017.03.028
Okocha, F. (2022). Student perception of computer-based testing in Kwara State, Nigeria. International Journal of Web-Based Learning and Teaching Technologies, 17(1), 1–11.
Oyetola, S. O., Ogunmodede, T. A., & Sobalaje, A. J. (2022). Students' perception of computer-based test (CBT) in a university of technology in Nigeria: Librarians' perspective. Lagos Journal of Library and Information Science, 11(1–2), 307–324.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Psychological determinants of university students' academic performance: A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261
Rienties, B., & Toetenel, L. (2016). The impact of learning design on student behaviour, satisfaction and performance: A cross-institutional comparison across 151 modules. Computers in Human Behavior, 60, 333–341. https://doi.org/10.1016/j.chb.2016.02.074
Roediger, H. L., III, & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181–210. https://doi.org/10.1111/j.1745-6916.2006.00012.x
Sulyman, R. (2025). Comparative analysis of measurement precision in CBT and PBT using IRT among undergraduates in Kwara State. Ilorin Journal of Education, 46(2), 79–89.
Ugboaja, U. C. A., Adene, G., Iweama, W. C., et al. (2021). Administering continuous assessment using Google Forms: Advantages & disadvantages. Proceedings of the 2nd ASUP Unwana International Conference.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
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