Emmanuel Lance Christopher VI M. Plan, Nguyen Ngoc Nhat

Early childhood characteristics as predictors of non-cognitive skills of Vietnamese: A machine learning approach

Lĩnh vực: Corporance Finance

Số No.04 (35) 2025 (35)-2025 Journal of Finance & Accounting Research - Trang 140

Tóm tắt tiếng Việt:

English Summary:

Grasping how childhood experiences affect the development of non-cognitive skills allows policymakers to create supportive structures to ensure positive progression. This study explores whether or not non-cognitive skills are associated with various early childhood characteristics. This research focuses on exploring the data from The Young Lives Study and utilizes models using Artificial Neural Networks (ANNs) to predict a subject’s non-cognitive skills. Shapley Values are employed to identify the best predictors. Results highlight that health indicators, especially Body Mass Index (BMI), have the strongest and most widespread impact. This highlights that physical health is imperative for socio-emotional health development. Parental/Caregiver Characteristics and Household Characteristics follow in order of significance, proving the importance of family and home background in developing these skills.

Từ khóa: non-cognitive skills, early childhood development, artificial neural networks, shapley values, young lives study.

Số lượt đọc: 9 - Số lượt tải về: 7

DOI Code: https://doi.org/10.71374/jfar.v25.i4.28

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