Estimating University Students’ Acceptance of Technological Tools for Studying English through the UTAUT Model
Keywords:
expectancy, performance, behavioral intention, actual useAbstract
This paper is based on the results of a questionnaire survey on 289 medical students to predict their acceptance of or resistance to information and communication technology (ICT) tools for learning English through Venkatesh, Morris, Davis, and Davis's UTAUT model. The measurement scale used to estimate their behavioral intention of ICT use for learning English includes six determinants of the UTAUT, namely, performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), self-efficacy (SE) and perceived anxiety (PANX) and two dependent factors, namely behavioral intention (BI) and use behavior (UB). First, the descriptive statistics indicate that the student subjects have sufficient conditions to use ICT for studying English online. Second, the exploratory factor analysis drops PANX from the hypothesized measurement model and reduces the eight original constructs to four by grouping EE and SE, PE and SI, and BI and UB. Second, the confirmatory factor analysis explains the satisfactory model fit indexes with the support of the structural equation model and locates the positive correlations among the variable constructs. After that, the tested hypotheses show that UB is influenced by BI and FC, and BI itself is affected by PE, EE, SI, and SE. Finally, the authors provide the grounded implications on what should be done to effectively increase the students' use of ICT for their learning needs in higher education.
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