Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios

By Fazil Abdullah, Rupert R. Ward, Ejaz Ahmed. Computers in Human Behavior, 2016

659 citations recorded by the source corpus.

Engagement with e-portfolios has been shown to improve students' learning. However, what influences students to accept e-portfolios is a question that needs careful study. The purpose of this study is to investigate the influence of Self-Efficacy, Subjective Norm, Enjoyment, Computer Anxiety and Experience on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of an e-portfolio system and their Behavioural Intention (BI) to use the system for learning. To do this, the study tested and used the General Extended Technology Acceptance Model for E-Learning (GETAMEL) in the context of e-portfolios. Valid data were collected from 242 UK undergraduate students who had been introduced to e-portfolios. The data set was analysed using SPSS software. Results showed that the best predictor of student's Perceived Ease of Use of the e-portfolio is Experience, followed by Enjoyment, Self-Efficacy and Subjective Norm. The best predictor of student's Perceived Usefulness of the e-portfolio is Perceived Ease of Use followed by Enjoyment. Both Perceived Ease of Use and Perceived Usefulness predict student's Behavioural Intention to Use the e-portfolio. The findings improve understanding regarding acceptance of e-portfolio systems and this work is therefore of particular interest to researchers, developers and practitioners of e-portfolios. We validated and used the GETAMEL to examine students' e-portfolio adoption.Four variables affected Perceived Ease of Use (PEOU) of the e-portfolio.The four variables are Experience, Enjoyment, Self-Efficacy and Subjective Norm.PEOU and Enjoyment affected Perceived Usefulness (PU) of the e-portfolio.Both PEOU and PU affected students' intention to use the e-portfolio.

Subfields: Communication, Gender Studies, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/b9b99ad004e4e9421de6f90e738e0d2e5ecb981f

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Citations in the corpus

“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “The importance of SE as a key determinant of PU and PEU in the educational field is well-established in the literature of technology adoption (Chahal & Rani, 2022; Abdullah et al., 2016 ).”
Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model (2021, background): “Previous research has confirmed that perceived ease of use significantly affected perceived usefulness (Abdullah et al., 2016; Binyamin et al., 2019; Joo et al., 2018; Zogheib et al., 2015).”
Impact of digital Sharia banking systems on cash-waqf among Indonesian Muslim youth (2021, positive): “The insigni ﬁ cant result between SN and PU is consistent with the ﬁ nding of Abdullah et al. (2016).”