Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review

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DOI:

https://doi.org/10.3991/ijet.v18i23.44083

Keywords:

Technology Adoption, Computer-Aided Instruction, Computer-Assisted Instruction, CAI in Healthcare, PRISMA

Abstract


Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners’ knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers then conducted qualitative coding for thematic analysis and categorized the qualitative data to find themes and patterns. Enablers as well as barriers to CAI adoption in healthcare were then discussed along with the common conclusions, limitations and recommendations for future studies. Results shows that key enablers were perceived ease of use, ease of usefulness, performance expectancy, social influence, user experience, and effort expectancy while identified key barriers were government support, funding constraints, and interactivity. The majority of the research articles highlighted the benefits of CAI in healthcare education as an innovative method for boosting the effectiveness of both teaching and learning.

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Published

2023-12-05

How to Cite

Cabanilla, Q. K. ., Teofilo-Orencia, F. ., Cafino, R. ., Isla Jr., A. T., Maglaya, J. G. ., Palmer, X.-L. ., … Velasco, L. C. (2023). Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review. International Journal of Emerging Technologies in Learning (iJET), 18(23), pp. 160–181. https://doi.org/10.3991/ijet.v18i23.44083

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Papers