A Study of Student Demographic Variables as Predictors of Intentions to Adopt Computer-Based Testing in Nursing School Clinical Examination
DOI:
https://doi.org/10.51574/ijrer.v4i2.2857Keywords:
Adoption, Clinical Examination, Computer-Based Testing, School of Nursing, StudentsAbstract
Despite the increasing integration of computer-based testing in nursing education, little is known about how student demographic variables influence their intentions to adopt this technology in clinical examinations. This gap in understanding may hinder effective implementation strategies and reduce student acceptance. Therefore, this study aims to determine whether a combination of nursing students’ demographic variables significantly predicts their intention to use computer-based testing (CBT) in clinical examinations; quantify the proportion of variance in students’ intentions to use CBT that is explained by their demographic data; and assess the relative contribution of each demographic variable to students' intentions to adopt CBT in clinical examinations. The study adopted a correlation research design with a population comprising all nursing schools in Osun State. The study purposively selected six nursing schools from the population. While the simple random sampling technique was used to select 20 nursing students from each school, totaling 120 respondents. A self-developed instrument was used to elicit data from the students, with an internal reliability of 0.87 obtained using Cronbach's alpha. The data collected were analyzed using multiple regression analysis. The finding showed that the combined demographic variables did not statistically and significantly predict the nursing student’s intentions to adopt CBT in their clinical exams. Only 5.6% of the variance in nursing students’ intention to use CBT in clinical examinations was explained by the combined demographic variables. However, gender significantly predicted the nursing students’ intentions to adopt CBT. It concluded that nursing students’ demographic data were not influencing their intentions to use CBT in clinical examinations. The paper outlined the implications for the study.
References
Abah, J. A., Honmane, O., Age, T. J., & Ogbule, S. O. (2022). Design of Single-User-Mode Computer-Based Examination System for Senior Secondary Schools in Onitsha North Local Government Area of Anambra State, Nigeria. VillageMath Educational Review (VER), 3(1).
Agah, J. J., Ogbeche, A. T., & Okorie, E. U. (2016). Computer anxiety, operation skills and attitude as correlates of students’ preparedness for computer based assessment. International Journal of Education and Research, 4(2), 71-74.
Ajogwu, E. N., & Olayanju, K. T. (2021). A study of the attitude of Nigerian's undergraduates towards computer based examination. International Journal of Advanced Research (IJAR), 9(4), 694-697. doi: http://dx.doi.org/10.21474/IJAR01/12753
Aletan, M., Falade, E., Erondu, N., & Ogunsola, R. (2022). Undergraduates' Views and Attitudes Towards the Use of Computer-Based Tests for Examination at the University of Lagos, Nigeria. Int J Adv Res Soc Sci Environ Stud Technol, 7(1), 10.48028.
Ayamolowo, L. B., Irinoye, O. O., & Olaniyan, A. S. (2023). Utilization of electronic health records and associated factors among nurses in a faith-based teaching hospital, Ilishan, Nigeria. JAMIA open, 6(3), ooad059.
Bello, H., & Abdullah, N. A. (2021). Investigating the influence of quality factors on user satisfaction with summative computer-based assessment. Electronic Journal of e-Learning, 19(6), pp490-503.
Chipps, J., Le Roux, L., Agabus, J., & Bimerew, M. (2022). Nursing informatics skills relevance and competence for final year nursing students. curationis, 45(1), 2277.
Cruz-Barrientos, A., Carmona-Barrientos, I., De-la-Fuente-Rodriguez, J. M., Perez-Cabezas, V., Gonzalez-Medina, G., & Sainz-Otero, A. M. (2023). Knowledge, Use and Attitude of Information and Communication Technologies (ICTs) in Graduate Nursing Students: A Correlational Cross-Sectional Study. Paper presented at the Healthcare.
Edward, M., & Okanlawon, F. A. (2016). Perception of objective structured clinical examination and traditional practical examination in assessment of nursing students clinical competencies by nursing students in south west Nigeria. The Journal of medical research, 4, 1340-1350.
Ekuri, E. E., Agbo, O. E., & Egbai, J. M. (2019). A Causal Model of Correlates of Attitude Towards Computer Based Testing Among Prospective University Students of the University of Calabar, Nigeria. International Journal of Scientific Research in Education, 12(2), 215-222.
Eusebio, J. L., Cabanatan, A. N. A., Manaloto, A. M., Cuevas, J. E. T., Gernalin, E. C., Cruz, R. U., & Capeding III, M. S. (2023). Attitude of Staff Nurses Toward Hospital Information System in Nursing Practice at a Selected Tertiary Hospital in Malolos, Bulacan, Philippines. International Journal of Computing Sciences Research, 7, 2315-2332.
Kang, S. R., Kim, S.-J., & Kang, K.-A. (2023). Awareness of using chatbots and factors influencing usage intention among nursing students in South Korea: a descriptive study. Child Health Nursing Research, 29(4), 290.
Kolagari, S., Modanloo, M., Rahmati, R., Sabzi, Z., & Ataee, A. J. (2018). The effect of computer-based tests on nursing students’ test anxiety: A quasi-experimental study. Acta Informatica Medica, 26(2), 115.
Kwak, Y., Seo, Y. H., & Ahn, J.-W. (2022). Nursing students' intent to use AI-based healthcare technology: Path analysis using the unified theory of acceptance and use of technology. Nurse Education Today, 119, 105541.
Labrague, L. J., Aguilar-Rosales, R., Yboa, B. C., Sabio, J. B., & de Los Santos, J. A. (2023). Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: a cross-sectional study. Nurse Education in Practice, 73, 103815.
Lee, J. S., & Son, H. K. (2023). Evaluation of a Virtual Reality Simulation to Improve Problem-Based Learning for Neurologic Examination in Nursing Students. Iranian Journal of Public Health, 52(10), 2128.
Migdadi, M. d. K., Oweidat, I. A., Alosta, M. R., Al-Mugheed, K., Saeed Alabdullah, A. A., & Farghaly Abdelaliem, S. M. (2024). The association of artificial intelligence ethical awareness, attitudes, anxiety, and intention-to-use artificial intelligence technology among nursing students. Digital Health, 10, 20552076241301958.
Mohammed, U. (2021). Psychosocial Factors Influencing Student's Attitude Towards Computer Based Test. International Journal of Advanced Research (IJAR), 9(10), 1060-1066. doi: http://dx.doi.org/10.21474/IJAR01/13650
Ndume, H., Dasuki, S., & Ogedebe, P. (2014). E-Assessment Systems for Universities in developing countries: A Nigerian perspective. African Journal of Computing & ICTs, 7(4), 9-14.
Ngozi, E. M., Chikaodinaka, E. N., John, M. O., Clementine, I., Oluchi, G. O., & Sunday, F. N. (2023). Perception of the utilization of teaching methods by student nurses in South-east Nigeria: A Cross-sectional study. International Journal of Nursing Education and Research, 11(4), 275-280.
Ogunlade, O. (2011). Students’ Characteristics as Predictors of their Perceptions on the Effectiveness of Computer-Based Test in Nigerian Universities. Pakistan Journal of Education, 28(2).
Okocha, F. (2022). Student perception of computer-based testing in Kwara State, Nigeria. International Journal of Web-Based learning and Teaching Technologies (IJWLTT), 17(1), 1-11.
Oladapo, A. O., & Oyedele, O. A. (2024). Measuring anxiety level of post unified tertiary matriculation examination candidates when exposed to computer based test in colleges of education in Southwest Nigeria. African Research Journal of Education and Social Sciences, 11(3).
Olufemi, O., & Oluwatayo, O. (2014). Computer anxiety and computer knowledge as determinants of candidates’ performance in computer-based test in Nigeria. British Journal of Education, Society & Behavioural Science, 4(4), 495-507.
Omran, E. S., Elgohary, A. T., & Elsaiad, H. S. (2022). Facilitators and barriers of employing electronic exams as perceived by nursing students and the relation to their satisfaction. Evidence-Based Nursing Research, 4(4), 33-43.
Rahman, M. S., Sabbir, M. M., Zhang, J., Moral, I. H., & Hossain, G. M. S. (2023). Examining students’ intention to use ChatGPT: Does trust matter? Australasian Journal of Educational Technology, 39(6), 51-71.
Sadiq, F., & Onianwa, C. (2011). Towards a scalable web assessment system for post university matriculation examination in Nigeria. African Journal of Computing & ICTs, 4(2), 25-30.
Salem, F. A., Weheida, S. M., Abo-elyzeed, S. M., Niazy, R., & Magor, N. R. E. (2023). Nursing Students' Anxiety, Self-Satisfaction and Attitudes Toward Electronic Online Exams. Assiut Scientific Nursing Journal, 11(39), 180-191.
Schofield, L. (2023). Implementation of Computerized Curricular Assistive Tools (CCAT) And Its Effect on Student Preparedness for the New NCLEX-RN Test Plan. SACAD: John Heinrichs Scholarly and Creative Activity Days, 2023(2023), 113.
Seo, Y. H., & Cho, K. A. (2022). Influence of AI knowledge, perception, and acceptance attitude on nursing students’ intention to use AI-based healthcare technologies. Korean Society of Nursing Research.
Syahbrudin, J., Istiyono, E., Khairudin, M., Anggraini, A., Wusqo, I. U., Mariam, M., & Muflihan, Y. (2025). Computer-based assessment research trends and future directions: A bibliometric analysis. Contemporary Educational Technology, 17(1), 1-20.
Wynn, M., Garwood‐Cross, L., Vasilica, C., Griffiths, M., Heaslip, V., & Phillips, N. (2023). Digitizing nursing: A theoretical and holistic exploration to understand the adoption and use of digital technologies by nurses. Journal of Advanced Nursing, 79(10), 3737-3747.
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