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1. Introduction Recent years have seen the unprecedented proliferation of mobile devices in individuals’ daily lives, and the use of mobile technology to support education continues to grow. It was observed that today’s students are equipped with various mobile devices that connect them to the world regardless of time and place, allowing them to access information wherever and whenever they want [1].
This mixed-methods study investigates how AI-powered mobile learning applications impact student engagement and empowerment in higher education. By utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework and quantitative analysis (SEM), this paper examines the influence of performance expectancy, effort expectancy, social influence, and facilitating conditions on student adoption and use of AI-powered mobile learning applications.
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