Exploring the Factors Influencing the Adaptation of Novice Nutrition Teachers Using Big Data Analysis
10.14373/JKDA.2024.30.4.227
- Author:
Yunsil KIM
1
;
Seieun KIM
;
Hak-Seon KIM
;
Sunny HAM
Author Information
1. Dept. of Food & Nutrition, Yonsei University, Seoul 03722, Korea
- Publication Type:Original Article
- From:Journal of the Korean Dietetic Association
2024;30(4):227-239
- CountryRepublic of Korea
- Language:English
-
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.
