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...

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Main Authors: Rongxia Zhuang, Sisi Tang, Jihong Li, Ronghuai Huang
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:Smart Learning Environments
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40561-017-0045-7
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author Rongxia Zhuang
Sisi Tang
Jihong Li
Ronghuai Huang
author_facet Rongxia Zhuang
Sisi Tang
Jihong Li
Ronghuai Huang
author_sort Rongxia Zhuang
collection DOAJ
description 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.
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spelling doaj.art-790a90f4bdc24adb9044cf1a274f50292022-12-22T01:40:58ZengSpringerOpenSmart Learning Environments2196-70912017-10-01411910.1186/s40561-017-0045-7Citizen experiences of smart learning in China’s citiesRongxia Zhuang0Sisi Tang1Jihong Li2Ronghuai Huang3Smart Learning Institute of Beijing Normal UniversityState Information CenterSmart Learning Institute of Beijing Normal UniversitySmart Learning Institute of Beijing Normal UniversityAbstract 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.http://link.springer.com/article/10.1186/s40561-017-0045-7Smart learning environmentsLearning experienceLearning engagementLearning approachLearning achievement
spellingShingle Rongxia Zhuang
Sisi Tang
Jihong Li
Ronghuai Huang
Citizen experiences of smart learning in China’s cities
Smart Learning Environments
Smart learning environments
Learning experience
Learning engagement
Learning approach
Learning achievement
title Citizen experiences of smart learning in China’s cities
title_full Citizen experiences of smart learning in China’s cities
title_fullStr Citizen experiences of smart learning in China’s cities
title_full_unstemmed Citizen experiences of smart learning in China’s cities
title_short Citizen experiences of smart learning in China’s cities
title_sort citizen experiences of smart learning in china s cities
topic Smart learning environments
Learning experience
Learning engagement
Learning approach
Learning achievement
url http://link.springer.com/article/10.1186/s40561-017-0045-7
work_keys_str_mv AT rongxiazhuang citizenexperiencesofsmartlearninginchinascities
AT sisitang citizenexperiencesofsmartlearninginchinascities
AT jihongli citizenexperiencesofsmartlearninginchinascities
AT ronghuaihuang citizenexperiencesofsmartlearninginchinascities