Good afternoon, everyone. I am Ida, coming from Institute of Education of NCKU in Taiwan. I am so glad to have this opportunity to represent our team reporting project results. The topic of this study is “ An application of cloud physical activity promotion system on high school female students’ physical activity”
This is the outline for today’s presentation. Introduction, method, findings and discussion. Let’s move to the 1 st part, introduction.
This change could cause various health problems and civilization diseases, including physical and psychological development of children and adolescents
However, according to the national survey data, there was a main problem occurred in physical activity of school students at all levels;
This figure showed proportion of meeting PA standards for all levels of students from 2007 to 2010. First, we can see the adolescents(senior high and college students) got the lowest proportion of meeting the sufficient physical activity standards And, there was a highest decline from 2009 to 2010.
Next, this figure showed the proportion of meeting PA standards for all levels of male and female students from 2007 to 2010. The female students got the lowest proportion of meeting the sufficient physical activity standards every year, and also a highest decline from 2009 to 2010. So, how can we solve this problem?
The characteristics of CPAPS are the wearable inertial signal sensors that can record users’ biophysical signals. The most common product of inertia signal is pedometer,
and through uploading the signals via the application of the system, the cloud system analyzed and displayed the date and charts as the feedback to the users. Some studies also suggest that wearing such product of inertia signal could motivate users to produce physical activity.
We adopted the newest MPAT standards of Taiwan: accumulation of 210 minutes of moderate physical activity per week, and recommendation of moderate activity time accumulated more than 30 minutes per day
Next, the following slides will introduce the method parts. A pre- and post-test quasi-experimental design was used for this study. This figure shows the research structure. Only one IV with 2 levels: use CPAPS or not. One class was designed to serve as a comparison group (C), and the other class served as the experimental groups (E). The DV is MPAT, which measured by self-reported 3 day physical activity log. There were two classes of 10 th -grade female students (n = 62), from a senior high girls school by Purposive Sampling.
This table shows the research procedures. The duration of the experiment was 14 weeks. In W1, two research groups will take the same pretests, including Demographics survey and IPAQ, to make sure the baseline of the two research groups that showed no differences. Afterwards, they took the same tests as posttests in W14. Then, from Ws 2 to 13, for C group, students only needed to write 3-D PAL every week. However, the E group not only wrote the same log but also used the CPAPS.
This CPAPS included one sensor and one website which provides biophysical signals and analysis for users.
This is an example of the Personal Health Data User Interface on the Website. This chart can quickly show the calories and steps every hour a day. The data in the table includes your … everyday. A doctor image will sum up your daily PA and give users feedback.
The latest part is findings and discussion. First, the baseline of these 2 research groups was the same.
Next, from the 3-D PAL every week, we drew a trend of MPAT. First, we found that the trend of the C group echoed the school schedule; students spent less time on moderate physical activity when preparing the midterm exams in weeks 4 and 10. Although the time increased after midterm exam weeks, it declined again a few weeks later. This kind of loop seemed totally match the lifestyle of senior high school student; students have academic pressure, they prefer studying instead of doing physical activity. The E group met the PA standards from Ws 2 to 7. However, the trend of the E group declined from W 8 and became unstable afterwards. The researchers and class instructor assumed that the reason might be students’ loss of interests and boing feeling in later period, even several students seemed to withdraw from the study. In other words, despite the CPAPS had practical and ease-of-use characteristics, if there was no intervention of behavioral change strategies involved, the CPAPS only helped maintain students' motivation for a short time.
This study gave us very important lessons and reflections due to the downward trend of the experimental group. These suggestions also for future studies.
An application of CPAPS on students' PA
An application of cloud physical activity
promotion system on high school female
students’ physical activity
Wan-Chi Ida Wu, Ya-Ting C. Yang, Tsai-Yi Hsieh
Institute of Education,
National Cheng Kung University, Taiwan
NSC High Scope Project
NCKU Aim for the Top University Project
Due to the rapid growth of technology use and change
of people’s work patterns in the present society,
people tend to have a sedentary lifestyle and be
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National Survey: Adolescents got the lowest
proportion of meeting a sufficient amount of time on
physical activity suggested by the academic standards,
especially female students.
The same situation happened in Taiwan!
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With the growth of technology use and for solving the
problems of physical inactivity, physical activity
promotion system combining cloud services, called
cloud physical activity promotion system (CPAPS) has
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Body Sensor Network
Digital Content and Learning Platform
This study aimed to apply a CPAPS and investigate its
effectiveness on high school female students’
moderate physical activity time (MPAT).
The newest MPAT standards of Taiwan: accumulation
of 210 mins/week (30 mins/day).
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A pre- and post-test
Participants: two classes
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2. Method: Research procedures
W1 Pretests: Demographics survey and IPAQ (C & E groups)
C group: (none)
E group: Training course of CPAPS and start using CPAPS
(C & E groups wrote 3-D PAL per week to count students’
W14 Posttests: Demographics survey and IPAQ (C & E groups)
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2. Method: CPAPS
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Personal Health Data User Interface on the Website
3. Findings and Discussion
The pretest of demographics survey & IPAQ: no differences between
the two research groups
in participating in sports-related community or school team (�2
(1,n=60) = .02, p
in being prohibited of doing sports because of healthy issues (�2
(1,n=60) = .00,
p = 1.00).
in PA in the past 7 days compared with the past 3 months (�2
(2,n=57) = 2.40, p =
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3. Findings and Discussion
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MPAT standard per day
(IPAQ) (Exam) (Exam)
3. Findings and Discussion
1. Would students react differently if implementing PA behavior change
strategies into CPAPS?
2. Future studies need to alleviate the burden of the experimental groups,
e.g. use sensor to replace PA questionnaire.
3. More appropriate statistical analysis could be conducted for analyzing
such trend data.
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