•  
  •  
 

Jurnal Pendidikan Vokasi

Keywords

Digital technologies, mechanical engineering education, mechanical engineering teachers, technical university

Document Type

Article

Abstract

The paper examines the effect of perceived ease of use, user acceptance, and quality assurance practices on the acceptance of digital technology among mechanical engineering teachers in Technical Universities in Ghana. The paper adopts a quantitative research approach using a descriptive survey design. A sample of 167 mechanical engineering teachers was selected using stratified and simple random sampling techniques. Data was collected through a structured questionnaire that included demographic information and variables related to digital technology acceptance. The collected data were analyzed using structural equation modeling with the aid of SmartPLS 4 software. The study's findings reveal that perceived ease of use, user acceptance, and quality assurance practices significantly and positively influence mechanical engineering teachers' acceptance of digital technology. Specifically, the acceptance of quality assurance practices was found to have the strongest impact on technology acceptance among the three factors examined. The study focused on mechanical engineering teachers in Ghana's Technical universities, limiting the generalizability of the findings to other educational contexts. Future research should consider expanding the sample size and including participants from different educational institutions and other disciplines. This study contributes to the existing literature on digital technology acceptance by examining the specific context of mechanical engineering education in Ghana. The findings also contribute to the broader discourse on digital skills development and closing the digital divide in educational settings.

Page Range

223-231

Issue

3

Volume

13

Digital Object Identifier (DOI)

10.21831/jpv.v13i3.63606

Source

https://journal.uny.ac.id/index.php/jpv/article/view/63606

References

Acheampong, P. P., & Acheampong, L. D. (2020). Analysis of adoption of Improved cassava (Manihot esculenta) varieties in Ghana: Implications for agricultural technology disseminations. International Journal of Food and Agricultural Economics (IJFAEC), 8(3), 233-246. https://ageconsearch.umn.edu/record/305326/

Alkhabra, S. A. (2022). An exploration of applicability of social constructivism approach in distance learning amid the COVID-19 pandemic; the case study of Hail University (UOH). The International Journal of Information and Learning Technology, 39(3), 282-304. https://doi.org/10.1108/IJILT-11-2021-0166

Alowayr, A. (2022). Determinants of mobile learning adoption: Extending the unified theory of acceptance and use of technology (UTAUT). The International Journal of Information and Learning Technology, 39(1), 1-12. https://doi.org/10.1108/IJILT-05-2021-0070

Anthony Jnr, B., Kamaludin, A., Romli, A., Mat Raffei, A. F., A_L Eh Phon, D. N., Abdullah, A., Leong Ming, G., A Shukor, N., Shukri Nordin, M., & Baba, S. (2020). Predictors of blended learning deployment in institutions of higher learning: theory of planned behavior perspective. The International Journal of Information and Learning Technology, 37(4), 179-196. https://doi.org/10.1108/IJILT-02-2020-0013

Basaran, B., & Yalman, M. (2020). Examining preservice teachers' levels of self-efficacy perceptions regarding web. The International Journal of Information and Learning Technology, 37(4), 153-178. https://doi.org/10.1108/IJILT-11-2019-0105

Bell, E., Bryman, A., & Harley, B. (2022). Business research methods. Oxford University Press.

Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10. https://doi.org/10.21512/tw.v13i2.656

Chukwuedo, S. O., Nnajiofor, F. N., Auta, M. A., & Odogwu, I. C. (2023). Training prospective technical education graduates for school-to-work transition: insights from university-industry links. Higher Education, Skills and Work-Based Learning, 13(2), 249-263. https://doi.org/10.1108/HESWBL-06-2022-0125

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008

Dibra, M. (2015). Rogers theory on diffusion of innovation-the most appropriate theoretical model in the study of factors influencing the integration of sustainability in tourism businesses. Procedia - Social and Behavioral Sciences, 195, 1453-1462. https://doi.org/10.1016/j.sbspro.2015.06.443

Gefen, D., & Larsen, K. (2017). Controlling for lexical closeness in survey research: A demonstration on the technology acceptance model. Journal of the Association for Information Systems, 18(10), 727-757. https://doi.org/10.17705/1jais.00469

Gyaase, P. O., Anokye-Sarfo, A., & Bediako, Y. (2013). The adoption of information and communication technology in the public sector; A study of the financial management in the Ghana Education Service (GES). International Journal of Scientific & Technology Research, 2(12), 327-335. https://www.academia.edu/17429783/The_Adoption_Of_Information_And_Communication_Technology_In_The_Public_Sector_A_Study_Of_The_Financial_Management_In_The_Ghana_Education_Service_GES_

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hajirasouli, A., Banihashemi, S., Sanders, P., & Rahimian, F. (2023). BIM-enabled Virtual Reality (VR)-based pedagogical framework in architectural design studios. Smart and Sustainable Built Environment. https://doi.org/10.1108/SASBE-07-2022-0149

Hendrycks, D., Mu, N., Cubuk, E. D., Zoph, B., Gilmer, J., & Lakshminarayanan, B. (2019). Augmix: A simple data processing method to improve robustness and uncertainty. ICLR 2020, 1-15. https://arxiv.org/abs/1912.02781

Kashive, N., Powale, L., & Kashive, K. (2020). Understanding user perception toward Artificial Intelligence (AI) enabled e-learning. The International Journal of Information and Learning Technology, 38(1), 1-19. https://doi.org/10.1108/IJILT-05-2020-0090

Khan, G. F., Sarstedt, M., Shiau, W.-L., Hair, J. F., Ringle, C. M., & Fritze, M. P. (2019). Methodological research on partial least squares structural equation modeling (PLS-SEM). Internet Research, 29(3), 407-429. https://doi.org/10.1108/IntR-12-2017-0509

Menon, S., & Suresh, M. (2022). Enablers of technology agility in higher education. The International Journal of Information and Learning Technology, 39(2), 166-196. https://doi.org/10.1108/IJILT-07-2021-0107

Mugambi, B. M. (2019). Effects of information communication technology adoption on financial management in Meru County Government [Kenya Methodist University]. http://repository.kemu.ac.ke/bitstream/handle/123456789/748/Bonface Mutuma Mugambi.pdf?sequence=1&isAllowed=y

Onofrei, G., & Ferry, P. (2020). Reusable learning objects: a blended learning tool in teaching computer-aided design to engineering undergraduates. International Journal of Educational Management, 34(10), 1559-1575. https://doi.org/10.1108/IJEM-12-2019-0418

Sahin, I. (2006). Detailed review of Rogers' dffusion of innovations theory and educational technology-related studies based on Rogers' theory. Turkish Online Journal of Educational Technology-TOJET, 5(2), 14-23. https://eric.ed.gov/?id=EJ1102473

Samartha, V., Basthikar, S. S., Hawaldar, I. T., Spulbar, C., Birau, R., & Filip, R. D. (2022). A study on the acceptance of mobile-banking applications in India"”Unified Theory of Acceptance and Sustainable Use of Technology Model (UTAUT). Sustainability, 14(21), 14506. https://doi.org/10.3390/su142114506

Sucu, F., & Çakiroğlu, Ü. (2022). ICT teachers' adaptations to online instruction during Covid-19 pandemic. The International Journal of Information and Learning Technology, 39(3), 209-226. https://doi.org/10.1108/IJILT-09-2021-0149

Vlachogianni, P., & Tselios, N. (2022). The relationship between perceived usability, personality traits and learning gain in an e-learning context. The International Journal of Information and Learning Technology, 39(1), 70-81. https://doi.org/10.1108/IJILT-08-2021-0116

Download

Share

COinS