An Extended UTAUT Model of E-Learning Resource Adoption Among Mathematics Teachers
Keywords:
e-Learning, Perceived Risks, Personal Innovativeness, Self-efficacy, Structural Equation Modeling, UTAUTAbstract
The study examines e-learning resource adoption in mathematics education using the extended Unified Theory of Acceptance and Use of Technology model, including personal innovativeness, perceived risks, and e-learning self-efficacy. Data from 282 pre-service and in-service mathematics teachers in Philippines were analyzed using Covariance-Based Structural Equation Modeling to explore their intentions to integrate e-learning resources in teaching. Results showed that personal innovativeness positively influences effort expectancy and performance expectancy, indicating that innovative teachers find e-learning tools easier and more useful. e-learning self-efficacy enhances social influence and facilitating conditions, while performance expectancy and facilitating conditions are the strongest drivers of behavioral intention. Social influence shows an inverse relationship, suggesting more independent adoption decisions. Demographic factors such as age, respondent type, and teaching experience significantly moderate technology adoption behavior. In-service teachers are more influenced by ease and usefulness, while facilitating conditions and social influence matter more for pre-service teachers. The main takeaway from this paper is that improving digital competence, fostering teaching innovation, and strengthening technological infrastructure are key to promoting e-learning adoption in mathematics education.
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