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Sustainable Technology Integration in Underserved Area Schools: The Impact of Perceived Student Change on Teacher Continuance Intention

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This study aims to examine the determining factors of teachers’ continuance intention to integrate technology in a smart classroom of schools in underserved areas. Smart classrooms provide a supportive learning… Click to show full abstract

This study aims to examine the determining factors of teachers’ continuance intention to integrate technology in a smart classroom of schools in underserved areas. Smart classrooms provide a supportive learning environment for students by equipping them with advanced multi-functional and mobile technologies. A smart classroom can provide opportunities for teaching and learning by facilitating curriculum implementation and encouraging student success. The sustainable integration of technology in a smart classroom depends on the teacher’s ability to effectively utilize digital technology in the classroom. We assessed teachers’ perceptions of their technology integration by building a research model for sustainable technology integration in an underserved area in South Korea. For this, we included four aspects of teachers’ perceptions: the frequency of technology integration, the effort toward instructional practices, student change, and continuance intention. Data were gathered via a self-administered online survey with a sample of teachers who are participating in a smart school program and were analyzed using partial least squares structural equation modeling. The findings of the study show that teachers in smart classrooms are motivated to continue technology integration when they experience positive changes among students after employing smart classroom technologies. The research findings can contribute to the efforts of educators, scholars, and policy-makers to pursue sustainable development in underserved area schools.

Keywords: continuance intention; integration; underserved area; technology; technology integration

Journal Title: Sustainability
Year Published: 2020

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