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Development of 'Children's Food Avatar' Application for Dietary Education


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Development of 'Children's Food Avatar' Application for Dietary Education

Article information

Korean J Community Nutr. 2013;18(4):299-311
Publication date (electronic) : 2013 August 31
doi : https://doi.org/10.5720/kjcn.2013.18.4.299
Joo-Han Cho, Sook-Bae Kim1, Soon-Kyung Kim2, Mi-Hyun Kim3, Gap-Soo Kim4, Se-Na Kim5, So-Young Kim5, Jeong-Weon Kim6
Major of Elementary Science & Technology Education for Life, Graduate School of Seoul National University of Education, Seoul, Korea.
1Department of Food Science & Human Nutrition, Chonbuk National University, Jeonju, Korea.
2Department of Food Sciences & Nutrition, Soonchunhyang University, Asan, Korea.
3Department of Food and Nutrition, Kangwon National University, Samcheok, Korea.
4Department of Computer Education, Seoul National University of Education, Seoul, Korea.
5Department of Agrofood Resources, National Academy of Agricultural Sciences, RDA, Suwon, Korea.
6Department of Science & Technology Education for Life, Seoul National University of Education, Seoul, Korea.
Corresponding author: Jeong-Weon Kim, Department of Science & Technology Education for Life, Seoul National University of Education, Seochojoongang-ro 96, Seocho-gu, Seoul 137-742, Korea. Tel: (02) 3475-2516, Fax: (02) 3475-2263, kimjwe@snue.ac.kr
Received 2012 November 16; Revised 2013 February 09; Accepted 2013 July 31.

Abstract

An educational application (App) called 'Children's Food Avatar' was developed in this study by using a food DB of nutrition and functionality from Rural Development Administration (RDA) as a smart-learning mobile device for elementary school students. This App was designed for the development of children's desirable dietary habits through an on-line activity of food choices for a meal from food DB of RDA provided as Green Water Mill guide. A customized avatar system was introduced as an element of fun and interactive animation for children which provides nutritional evaluation of selected foods by changing its appearance, facial look, and speech balloon, and consequently providing chances of correcting their food choices for balanced diet. In addition, nutrition information menu was included in the App to help children understand various nutrients, their function and healthy dietary life. When the App was applied to 54 elementary school students for a week in November, 2012, significant increases in the levels of knowledge, attitude and behavior in their diet were observed compared with those of the control group (p < 0.05, 0.01). Both elementary students and teachers showed high levels of satisfaction ranging from 4.30 to 4.89 for the App, therefore, it could be widely used for the dietary education for elementary school students as a smart-learning device.

Keywords: application; dietary education; children's food avatar; children

Notes

This research was supported by a grant (PJ008237) from Rural Development Administration in 2012 for the development of national information system on nutrition and functionality of food.

References

1. Choi MK, Lee HS, Kim SB, Kim SN, Kim SY. Establishment of one portion size of foods frequently consumed by Korean children aged 6-11 using 2005 Korea national health and nutrition examination survey and its comparison with adults. Korean J Community Nutr 2010;15(5):625–635.
2. Choi SY. The difference in eating habits and food preference of elemantary school students residing in two different areas and the need of nutrition education Nutrition Education Major Dept. of Nutrition Education Graduate School of Education Sungshin Women's University; 2011. p. 24.
3. Encyber. Definition of avatar 2012. cited 2012 Fabruary 14. http://www.doopedia.co.kr.
4. EatRight. Daily food log and food group checklist 2012. cited 2012 Fabruary 14. http://slidetorock.com/apps/EatRight-daily-food-diary.html.
5. Fooducate. Scan & choose health groceries 2012. cited 2012 Fabruary 14. http://www.fooducate.com.
6. Food Scanner. Calorie counter, BMI-calculator 2012. cited 2012 Fabruary 14.
7. KFDA. Comic books and animation as dietary education materials for children 2012. cited 2012 Fabruary 14. Available from http://www.kfda.go.kr/nutrition/index.do?nMenuCode=33.
8. Kim AY. A study on the dietary pattern of upper grades of elementary school children to develop a food & nutrition education program based on practical arts subject Daejon, Korea: Department of Nutrition Education, Graduate School of Education, Paichai University; 2012. p. 1–2.
9. Kim BK, Park HR, Kim JW. Development of comic books and an animation as dietary education materials for children. Korean J Community Nutr 2008;13(5):630–639.
10. Kim HS. The relation between avatar playing and appearance management behavior of the elementary school students Gyeongin National University of Education; 2011. 5–6. MS thesis.
11. Kim HY, Kim JW. Development and application of food safety education textbook on agri-food for creative activities of 2009 revised curriculum. J Korean Pract Arts Educ 2011;24(3):255–279.
12. Kim JW. Analysis of food and dietary education in the 7th primary school curriculum as a science & technology for life. J Korean Pract Arts Educ 2005;18(1):129–144.
13. Kim JW, Hyon SM. Improvement of dietary attitudes of elementary students by nutrition labeling education. Korean J Community Nutr 2007;12(2):168–177.
14. Kim , MJ , Kim KW, Seo JS, Lee YM, Oh YJ, Ahn HS, Kim JH, Kim JW, Park HR, Kim SH, Park HK. Development of a webbased food selection program for children's nutrition education Comp Rev Korean Soc Food Sci Nutr; 2008. p. 2–13.
15. Kim SB. Development of new functional agricultural food and value-added technology National Academy of Agricultural Science; 2011. p. 4–6.
16. Korea Center for Disease Control. Korea standard growth chart of children and adolescent Seoul: Ministry of Health & Welfare; 2007.
17. Korea Communications Commission. Statistics of wire and wireless users in Korea 2012. cited 2012 August 10. Available from http://www.kcc.go.kr.
18. Korean Nutrition Society. Dietary reference intakes for Koreans, first revision Seoul: Korean Nutrition Society; 2010.
19. Lee HJ. Smart phone based Chinese education Application project and production experiment Ewha Womans University; 2011. 9–10. MS thesis.
20. Lee YM, Shim JE, Yoon JH. Change of children's meal structure in terms of temporal and spatial dimensions: analysis of the data from the Korea national health and nutrition examination surveys of 1998 and 2009. Korean J Community Nutr 2012;17(1):109–118.
21. Lim JH, Lee HJ, Kim JW. Development of children's obesity prevention program by using 'Health Diary'. J Korean Pract Arts Educ 2009;15(4):281–300.
22. Ministry of Health & Welfare. Health diary 2012. cited 2012 February 14. Available from http://diary.hp.go.kr.
23. MOHW. KCDC. Korea National Health and Nutrition Examination Survey (KNHANES IV-3). Korea health statistics 2009 2011.
24. Rothwell WJ, Cookson PS. Beyond instruction : comprehensive program planning for business and education San Francisco, Calif: Jossey-Bass Publishers; 1997.
25. Rural Development Administration. Nutrition guide for my children Paju: Kyomunsa; 2010.
26. Whole Kids Foundattion. Children's nutrition and wellness 2012. cited 2012 Fabruary 14. Available from http://www.wholekidsfoundation.org.

Article information Continued

Copyright © 2013 The Korean Society of Community Nutrition

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Fig. 1

Fig. 1

UX flow of Children's Food Avatar App.

Fig. 2

Fig. 2

Screens of log-in and feedback messages of the App.

Fig. 3

Fig. 3

Food choice menu of the App by Green Water Mill guide.

Fig. 4

Fig. 4

Examples of children's frequently consumed food database.

Table 1

Developing stages of the App by ADDIE model

Table 1

The ADDIE model : The five phases-Analysis, Design, Development, Implementation, and Evaluation-represent a dynamic, flexible guideline for building effective training and performance support tools

Table 2

Core elements for the development of the App contents

Table 2

Table 3

Contents of the classroom education by using developed App

Table 3

Table 4

Comparison of the levels of knowledge, attitude and behavior of treatment and control groups before using the App1)

Table 4

1) 5-point Likert scale questions: 1 for strongly disagree, 2 for disagree, 3 for neutral, 4 for agree, and 5 for strongly agree

2) T: Treatment group (n = 27)

3) C: Control group (n = 27)

4) Mean ± SD

Table 5

Comparison of the treatment and control groups with regard to the scores of correct answers on nutritional knowledge before and after using the App1)

Table 5

1) Multiple choice questions

2) T: Treatment group (n = 27)

3) C: Control group (n = 27)

4) N (%)

5) Mean

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 6

Changes of nutritional knowledge, attitude and behavior in the treatment group of the App1)

Table 6

1) 5-point Likert scale questions: 1 for strongly disagree, 2 for disagree, 3 for neutral, 4 for agree, and 5 for strongly agree

2) n = 27

3) p-value of the t-test

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 7

Comparison of the levels of knowledge, attitude and behavior of treatment and control groups after using the App1)

Table 7

1) 5-point Likert scale questions: 1 for strongly disagree, 2 for disagree, 3 for neutral, 4 for agree, and 5 for strongly agree

2) T: Treatment group (n = 27)

3) C: Control group (n = 27)

4) Mean ± SD

*: p < 0.05, **: p < 0.01 by independent samples t-test

Table 8

Satisfaction levels of children and elementary teachers for the App

Table 8

1) N (%)