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Smart Geometry Learning in Authentic Contexts with Personalization, Contextualization, and Socialization

Wu‐Yuin HwangDepartment of Computer Science and Information Engineering, National Dong Hwa University, Hualien, TaiwanYi Jing LinGraduate Institute of Network Learning Technology, National Central University, TaiwanIka Qutsiati UtamiGraduate Institute of Network Learning Technology, National Central University, TaiwanRio NurtantyanaGraduate Institute of Network Learning Technology, National Central University, Taiwan
2023en
ABI

Аннотация

This study aimed to investigate the effectiveness of smart mechanisms (i.e., personalization, contextualization, and socialization) on geometry learning supported by Smart-UG, a mobile application with the integration of augmented reality (AR) to facilitate authentic learning and provide learners with some features in measuring and applying geometric concepts in a real-world environment. To investigate the impact of the technology with smart mechanisms on student learning achievements (i.e., geometry ability (GA) and problem-solving skill (PSS), we conducted a quasi-experiment with the participation of fifth-grade students (n = 52). They were divided into two groups (i.e., experimental and control group) and carried out two stages of learning activity with an independent experiment which is underpinned by a set of problem-solving activities. Stage 1 aimed to investigate the impact of personalization and contextualization mechanisms, while stage 2 focuses on assessing socialization's impact on geometry learning. The results showed that the experimental group students achieve good performance in geometry measurement and problem-solving compared to those in the control group. It implied that our proposed application with smart mechanisms can benefit learners to improve their geometry understanding and skill. A positive attitude and high intention by the students toward Smart-UG also signify system utilization in the future. Therefore, this study has the potential to be applied in more complex geometry learning with enhanced smart mechanisms.

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