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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
Supporting schools to use face recognition systems: a continuance intention perspective of elementary school parents
Jon-Chao Hong1, Yushun Li2, Shuo-Ying Kuo1
1Department of Industrial Education& Institute for Research Excellence in Learning Science, National Taiwan Normal University, Taipei, Taiwan.
Abstract:
A great deal of attention has been focused on technological innovation, for example, face recognition, which has been used in some countries in various fields. Nonetheless, there has been little attention paid to parents' acceptance of the use of face recognition systems on campus. To address this gap in the literature, this study examined how different degrees of technological innovativeness and dangerous beliefs in the virtual world (DBVW) influence parents' perceived value of using and intention to continue supporting schools' use of face recognition systems. This study adopted snowball sampling to collect data through questionnaires, and received 380 valid responses from parents living in Xuzhou, China. Confirmatory factor analysis and structural equation modeling were used to analyze the data, with results indicating that: (1) DBVW was negatively related to perceived value; (2) technological innovativeness was positively related to perceived value; and (3) perceived value was positively related to continuance intention to use face recognition systems. The results suggest that parents support the use of face recognition systems in elementary school; thus, such systems can be adopted by other elementary schools in other areas.
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