Applying Wearable Technology, Online Health Promotion Courses, and Social Networks to Explore the Impact of Chronotype, Physical Activity, and Eating Behaviors on Students’ Sleep Quality, Concentration, and Creativity

Currently, three courses have been executed, and these data have been collected and analyzed. Furthermore, a comprehensive review of the literature has been completed, instructional strategies have been executed, questionnaire surveys have been distributed and collected, and analysis of covariance (ANCOVA) has been conducted. Three high school classes (11th grade) have been sampled through random sampling. A total of 40 students in the comparison group (C) have accepted the cloud-based physical activity promotion system. A total of 29 students in the experimental group one (E1) have accepted the social network unstructured teaching strategy which is a Facebook group created by a teacher for open discussion. A total of 27 students in the experimental group two (E2) have accepted the social network structured teaching strategy which is a Facebook group created by a teacher for leading students to have activities. According to the results of ANCOVA, E2 improved significantly more than C and E1 in physical activity (F=3.71, p=.03), reaching moderate effect size (η2=.07). In sleep quality, E2 improved significantly more than C and E1 (F=7.47, p=.00), reaching large effect size (η2=.14). In classroom concentration, E2 improved significantly more than E1, and E1 improved significantly more than C (F=9.35, p=.00), reaching large effect size (η2=.17). In creative thinking, E2 improved significantly more than C and E1 (F=4.86, p=.01), reaching moderate effect size (η2=.10). The above results are comprehensive, indicating that the teaching strategy of E2 is significantly better than that of C and E1. Therefore, inferring the teaching strategy of accepting the social network structured teaching strategy which is a Facebook group created by a teacher for leading students to have activities, the students' physical activity, sleep quality, classroom concentration and creative thinking can be best improved. Important results from this research will be presented at important, international, educational conferences and published in international journals. This project is being done in cooperation with the Tainan City Bureau of Education to expand the experiment subjects of smart fitness trackers, and use big data to analyze students' health behaviors. At present, smart fitness trackers have been promoted to 151 primary and secondary schools (about 6,000 students) in Tainan. If students can achieve daily health tasks, such as 30 minutes of moderate to vigorous physical activity and 7-9 hours of sleep time, the system will convert the green coins into real money for students. The research results show that students’ physical activity and sleep time decreases at a higher learning stage. In addition, the combination of smart fitness trackers, green coin system, and the reward mechanism can promote students' health awareness and motivation, thus effectively improving students' moderate to vigorous physical activity and sleep time, and positively affecting academic achievement.