Citizen experiences of smart learning in China’s cities

Abstract

Citizen learning experiences can be understood as their perceptions, responses, and performances to learning resources, learning approaches, in different fields in the city. This study aimed to analyze the characteristics of citizen learning experiences of smart learning in cities, as well as the influencing factors of citizen learning experiences. Data were collected through the telephone interview, and 13,600 individuals from 68 cities were involved. Pearson correlation analysis, crosstab analysis, and chi-square analysis were used to analyze the collected data. Findings revealed that there are strong correlations among learning engagement, learning approach, and learning achievement. However, there is a weak relationship between city's per-capita Gross Domestic Product (GDP) and learning engagement. Also, results showed that gender and age influence citizens' perceptions of learning experiences.