Dissertation
Applied theories Technology Acceptance Model (TAM)
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Applied theoriesTechnology Acceptance Model (TAM)Davis's (1989) Technology Acceptance Model (TAM) is an applied theory that describes how consumers embrace and utilise technology. The model is based on the assumption that perceived utility and perceived simplicity of use influence users' behavioural intentions to use a technology. According to the Technology Acceptance Model (TAM), perceived utility is the extent to which a user believes that using a technology will improve their job performance, whereas perceived ease of use is the extent to which a user believes that using a technology will be uncomplicated. The model hypothesises that both PU and PEOU impact attitudes towards the use of a technology, which in turn determine a user's behavioural intention to use the technology. TAM has been utilised extensively to examine the adoption and utilisation of technology in various contexts, including education (Zaineldeen et al., 2020). In the context of the current research topic, TAM can help explain why some engineering educators may be hesitant to implement disruptive technologies in their classrooms. By understanding educators' perceptions of the utility and usability of disruptive technologies, we can create strategies to increase their adoption and use in the classroom, thereby closing the digital skills divide in engineering education. TAM has been used in the past to investigate the incorporation and utilisation of technology in engineering education. Boyle et al., (2022), examined the adoption of web-based learning systems in engineering education using TAM. They discovered that perceived efficacy was the most influential factor on educators' intentions to utilise the system. Similar to this, L. Wang et al., (2020), used TAM to investigate the acceptability of mobile learning in engineering education and discovered that perceived simplicity of use was a significant predictor of behavioural intention to use the technology. By incorporating TAM into the theoretical framework of this study, we hope to develop a comprehensive understanding of the factors influencing the adoption and effective use of disruptive technologies in engineering education and their implications for addressing the industry's digital skills gap. Download 2.1 Mb. Share with your friends:
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