Factors Influencing Lifelong Learning Among Retirees in Guangdong Province, People's Republic of China

Abstract

This study investigated the factors influencing lifelong learning among retirees in Guangdong Province, People’s Republic of China. The objectives were to: 1) examine the levels of factors influencing lifelong learning; 2) assess the level of lifelong learning; and 3) analyze the predictive power of those factors on lifelong learning. Data were collected from 384 retirees using a structured questionnaire and analyzed using mean (), standard deviation (S.D.), and stepwise multiple regression analysis.
The findings indicated that: 
1) both the overall and sub-dimension levels of factors influencing lifelong learning were high, with the learner factor yielding the highest mean score
2) overall lifelong learning was likewise at a high level, with the attitude toward learning dimension scoring highest, while communication ability scored lowest
3) the learner ( β = 0.312), family ( β = 0.262), and institutional ( β = 0.238) factors together significantly predicted lifelong learning at the .01 level, jointly accounting for 68.00% of the variance (R² = 0.680). Based on these findings, the study proposes the G-L³ Model (Guangdong Lifelong Learning through Three-Pillar Synergy), which asserts that sustainable lifelong learning requires the integrated support of personal motivation, family engagement, and institutional facilitation to bridge the digital communication skills gap faced by retirees