Journal of the Korean Dietetic Association (대한영양사협회학술지)

The Korean Dietetic Association (대한영양사협회)
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Exploring the Factors Influencing the Adaptation of Novice Nutrition Teachers Using Big Data Analysis

빅데이터 분석을 활용한 저경력 영양교사에 대한 교직 적응 요인 연구

  • Yunsil Kim (Dept. of Food & Nutrition, Yonsei University) ;
  • Seieun Kim (Dept. of Global Hospitality Management, Kyungsung University) ;
  • Hak-Seon Kim (School of Hospitality & Tourism Management, Kyungsung University) ;
  • Sunny Ham (Dept. of Food & Nutrition, Yonsei University)
  • 김윤실 (연세대학교 식품영양학과) ;
  • 김세은 (경성대학교 글로벌 Hospitality 경영학과) ;
  • 김학선 (경성대학교 호텔관광외식경영학부) ;
  • 함선옥 (연세대학교 식품영양학과)
  • Received : 2024.09.12
  • Accepted : 2024.11.05
  • Published : 2024.11.02
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Abstract

This study aimed to analyze the factors influencing the adaptation of novice nutrition teachers through big data analysis and to propose strategies for enhancing this process. Data were collected from internet portals using the keywords 'novice nutrition teacher' and 'nutrition teacher' from May 25, 2021, to May 25, 2024. Text mining techniques, including frequency analysis, semantic network analysis, and CONvergence of iterated CORrelations (CONCOR) analysis, were employed. Key terms such as 'teacher', 'nutrition', 'career', 'school', and 'school meals' exhibited high frequency and centrality, indicating the multifaceted roles of novice nutrition teachers and the need for increased support. Excessive workload and stress related to school meal management negatively impacted adaptation, highlighting the need for systematic management and capacity-building training programs. Mentoring and consulting systems played a crucial role in enhancing professional development, leading to better adaptation and higher job satisfaction. Additionally, stress and anxiety during the appointment preparation process were significant factors influencing adaptation, suggesting the need for improvements in the training curriculum at teacher education institutions. These findings provide valuable insights for developing policies to support the adaptation of novice nutrition teachers.

Keywords

References

  1. Ben-Amram M, Davidovitch N (2024): Novice teachers and mentor teachers: from a traditional model to a holistic mentoring model in the postmodern era. Educ Sci 14(2):143
  2. Choi SK, Choi MJ (2022): An FGI study on the adaptation of beginning health teachers during the COVID-19 era. J Converg Cult Technol 8(6):317-326
  3. Dagvadorj A, Lee YR, Kim HS (2020): A study on the consumer's perception of bakery using big data analytics. Culin Sci Hosp Res 26(4):66-75
  4. Freeman LC, Roeder D, Mulholland RR (1979): Centrality in social networks: ii. experimental results. Soc Netw 2(2):119-141
  5. Han MR, Lee JY, Lee GE, Lee YJ, Jeon EK, Moon JS, Kim KH, Park YJ, Park HJ, Lee HY, Kwon JW, Kim SY, Koo MJ (2021): 70 years of school health and meal services. Ministry of Education. Sejong. pp.26-30
  6. Han YN, Oh IS (2022): A phenomenological study on the teaching professional adjustment of elementary school counselors in the pandemic situation -Focused on beginning teachers' adjustment in the COVID-19 pandemic situation-. Korean J Teach Educ 38(1):153-182
  7. Hwang JH (2023): An empirical case study on the growth process of low-career elementary teachers: using causal process tracing. Korean J Educ Adm 41(1):247-281
  8. Im KH (2017): SNS bigdata analysis technology trend and development direction. Korea Contents Assoc 15(1):38-43
  9. Jang M, Oh S, Kim UM (2018): Article analytic and summarizing algorithm by facilitating TF-IDF based on k-means. Proceedings of the Korea Information Processing Society Conference. Korea Information Processing Society. Seoul. pp.271-274
  10. Jang SJ, Lim YJ (2024): Development and psychometric evaluation of the job meaning scale for nutrition teachers. J Korean Diet Assoc 30(1):1-10
  11. Jung S, No U, Woo YK (2023): Exploring the patterns of professional adaptation and influential factors of novice secondary teachers. J Educ Eval 36(2):315-341
  12. Kang SI (2024). "Learning valuable lessons from k-school meals". Available from: https://www.ikpnews.net/news/articleView.html?idxno=64065 Accessed June 25, 2024
  13. Kim DE, Jung SS (2022): A study on the adaptation of beginning teachers to the teaching profession at a newly established school. J Educ Res 43(2):83-112
  14. Kim HS (2017): A semantic network analysis of big data regarding food exhibition at convention center. Culin Sci Hosp Res 23(3):257-270
  15. Kim HS (2024): Developing an in-service training program for novice school counselors: focused on enhancing practical competencies. Doctoral degree thesis. The Graduate School of Hongik University. pp.143-145
  16. Kim J, Cha J (2018): Investigation of status of school nutrition education and changes in perception of nutrition teacher's job. J Korean Diet Assoc 24(1):92-107
  17. Kim JY, Cho DY (2023): A study on the job analysis of school nutrition teacher using DACUM. J Humanware 6(2):1-24
  18. Kim MK, Jang KD, Kim WJ (2016): Developing an on the job training program for new teachers. J Korean Teach Educ 33(2):313-335
  19. Kim NW (2019). "What does meal satisfaction even mean...". Available from: http://www.fsnews.co.kr/news/articleView.html?idxno=34395 Accessed July 24, 2024
  20. Kim S, Riswanto AL, Kim HS (2023): Comparative study of perceptions of plastic surgery medical tourism before and after COVID-19 utilizing big data analysis. J Ind Innov 39(2):192-204
  21. Kim YJ, Kim HS, Kim HS (2021): Understanding the effects of COVID-19 on the starbucks perception through big data analytics: a comparative study. Culin Sci Hosp Res 27(6):1-14
  22. Korea Educational Environment Protection Agency (KEEPA) (2020): A journey through school meals in pictures and articles. KEEPA. Cheongju. pp.26-30
  23. Korea Ministry of Government Legislation (2024). School meals act. Available from: https://www.easylaw.go.kr/CSP/CnpClsMain.laf?csmSeq=1113&ccfNo=3&cciNo=1&cnpClsNo=1 Accessed June 10, 2024
  24. Lee HJ, Kim Y, Kim S, Cha J, Ham S (2017): Comparison of required and additional man power's implemental task elements between present and future-oriented duties of school nutrition teachers. J Korean Diet Assoc 23(2):155-179
  25. Lee JH (2019). Complaints about "tasteless" healthy school meals... some school nutritionists driven to extreme measures. Available from: https://www.hankookilbo.com/News/Read/201907241480333566 Accessed July 13, 2024
  26. Lee JH (2023). "It tastes good to me". Available from: https://www.hankookilbo.com/News/Read/A2023081815510000706 Accessed July 13, 2024
  27. Lee SC, Lee D, Kim H (2022): Analysis on types of novice teachers' induction and impacts of policy supports. J Learn-Cent Curric Instr 22(16):293-305
  28. Lim JY, Kim KW (2014): Job satisfaction, work performance, work satisfaction, perceived needs and self-evaluation of knowledge and skills of nutrition teachers in Gyeonggi area. Korean J Community Nutr 19(1):60-70
  29. Ministry of Education (2024): 2023 school meal implementation status. Ministry of Education. Sejong. pp.1-7
  30. Park H, Lee H (2021): An analysis of determinents of middle school teacher's job stress in South Korea: evidence from TALIS 2018. J Korean Teach Educ 38(3):1-28
  31. Park J (2011): Teachers' perception on the clinical supervision in elementary school. Masters degree thesis. Kyongin National University of Education. pp.20-25
  32. Park J, Nam J (2020): Exploration factors affecting maintenance of the effect of mentoring for beginning science teachers. J Korean Chem Soc 64(6):401-415
  33. Park K (2019): The influencing factors on teachers' professionalism by the workplace of less-experienced teachers. Masters degree thesis. Seoul National University. pp.82-89
  34. Riswanto AL, Kim HS (2023): An investigation of the key attributes of Korean wellness tourism customers based on online reviews. Sustainability 15(8):6702
  35. Shin HS, Cho DY, Kim JY (2020): A study on the job analysis of non curriculum based teachers: nutrition teacher, health teacher, teacher librarian, and counseling teacher in Seoul. J Res Educ 33(4):307-336
  36. Shin J, Dagvadorj A, Kim HS (2022): A comparative study on consumer perception of wine before and after COVID-19 using big data analysis. J Ind Innov 38(1):119-143
  37. Williady A, Wardhani HN, Kim HS (2022): A study on customer satisfaction in Bali's luxury resort utilizing big data through online review. Adm Sci 12(4):137
  38. Yang HY, Kim SJ, Na CY (2024). Nutrition teacher facing reinstatement "dies by suicide" due to parent "complaints". Available from: https://www.nocutnews.co.kr/news/6091344 Accessed June 10, 2024
  39. Yi NY, Choi JH (2019): A study of the consumer perception of meal kit using big data analysis. FoodServ Ind J 15(4):211-222