Smartphone-based learning and academic performance in higher education institutions: extending task-technology-fit with technology readiness constructs

Mohannad Moufeed Ayyash, Maan A.A. Alkhateeb and Rania A.M. Abdalla

International Journal of Innovation and Learning, 2024, vol. 36, issue 2, 131-155

Abstract: The task-technology fit (TTF) framework emphasises the congruence between learning tasks, technological capabilities, and learners' requirements in smartphone-based learning. It has the potential to improve academic performance, but a review of existing literature indicates a lack of agreement on the relationship between mobile devices and the academic performance of students. In addition, the original TTF was introduced to predict firm performance and technology adoption without considering individual characteristics. Therefore, the aim of this research was to investigate how smartphone-based learning in TTF and related technology readiness index (TRI) constructs (including personal innovativeness and optimism) affect university students' academic performance. A total of 163 valid responses were collected and used in data analysis. The results indicated that task characteristics, personal innovativeness, and optimism have a significant positive influence on TTF, while technology characteristics are not significant. In addition, TTF shows a direct positive and significant influence on students' academic performance.

Keywords: task-technology fit; TTF; technology readiness; smartphone-based learning; academic performance; task characteristics; technology characteristics; personal innovativeness; optimism. (search for similar items in EconPapers)
Date: 2024
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