Journal Article

Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data

Sim, Nicholas, Fang, Zheng

2024

Overview

Our study explores whether lifelong learning is associated with the subjective wellbeing among the elderly in Singapore. Through a primary survey of 300 individuals aged 65 and above, we develop a novel index to capture three different aspects of subjective wellbeing, which we term “Quality of Life”, “Satisfaction with Life” and “Psychological Wellbeing”. Utilizing both supervised and unsupervised machine learning techniques, our findings reveal that attitudes towards lifelong learning are positively associated with quality of life, while participation in class activities is positively associated with all three measures of wellbeing. Although the study does not establish causality, it highlights a connection between lifelong learning and the perceived wellbeing of the elderly, offering support for policies that encourage lifelong learning among this population.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Aged / Aged, 80 and over / Aging / Analysis / Attitudes / Behavior / Biology and Life Sciences / Computer and Information Sciences / Continuing education / Decision trees / Economic aspects / Economic development / Engineering and Technology / Evaluation / Female / Humans / Learning / Learning algorithms / Life satisfaction / Lifelong learning / Machine Learning / Male / Medicine and Health Sciences / Older people / People and Places / Personal Satisfaction / Personality / Psychological factors / Quality of Life / Research and Analysis Methods / Singapore / Social networks / Social Sciences / Socioeconomic factors / Socioeconomic status / Surveys / Surveys and Questionnaires / Unsupervised learning / Well being