The Moderation Examination of ICT Use on the Association Between Chinese Mainland Students' Socioeconomic Status and Reading Achievement

被引:22
作者
Xiao, Ya [1 ]
Hu, Jie [1 ]
机构
[1] Zhejiang Univ, Sch Int Studies, Hangzhou 310058, Zhejiang, Peoples R China
关键词
Moderation effect; ICT use; reading achievement; PISA; DIGITAL DIVIDE; USAGE; 21ST-CENTURY; INFORMATION; CREATIVITY; SKILLS; LEVEL; SPSS;
D O I
10.3991/ijet.v14i15.10494
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study explores the moderation effect of the information and communication technology (ICT) on the association between students' socioeconomic status and their reading achievement. In total, 9,596 samples of 15 years old from 268 schools in mainland China are drawn from the latest wave of the public database - Program for International Student Assessment (PISA) 2015. This study applies the moderation model in multiple regression analysis to respectively analyze the moderation effect of 2 composite variables of students' ICT use, i.e., ICT use for schoolwork and ICT use for leisure. Two significant results are reported: (1) students' ICT use for schoolwork or for leisure can moderate the relationship between their socioeconomic status and their reading achievement; (2) the high-level ICT use for schoolwork or for leisure may narrow the gap in students' reading achievement caused by different socioeconomic status deduced from the buffering moderation effect of the moderating variables. These findings might provide insights to future studies in educational equality promotion, infrastructure construction and pedagogy improvement in reading education.
引用
收藏
页码:107 / 120
页数:14
相关论文
共 48 条
[1]  
Aiken L. S., 1991, Multiple regression: Testing and interpreting interactions, DOI 10.2307/2348581
[2]   Causal Relationship Model of the Information and Communication Technology Skill Affect the Technology Acceptance Process in the 21st Century for Undergraduate Students [J].
Amornkitpinyo, Thanyatorn ;
Piriyasurawong, Pallop .
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2015, 10 (01) :68-71
[3]  
[Anonymous], 2014, READING RES Q, DOI DOI 10.1002/RRQ.85
[4]  
[Anonymous], 2017, PISA 2015 results (volume IV): Students' financial literacy, DOI [DOI 10.1787/9789264270282-EN, DOI 10.1787/9789264281318-EN]
[5]   Discrimination of the Contextual Features of Top Performers in Scientific Literacy Using a Machine Learning Approach [J].
Chen, Jiangping ;
Zhang, Yang ;
Wei, Yueer ;
Hu, Jie .
RESEARCH IN SCIENCE EDUCATION, 2021, 51 (SUPPL 1) :129-158
[6]   Enhancing L2 Learners' Critical Thinking Skills Through a Connectivism-Based Intelligent Learning System [J].
Chen, Jiangping ;
Hu, Jie .
INTERNATIONAL JOURNAL OF ENGLISH LINGUISTICS, 2018, 8 (06) :12-21
[7]   A Corpus-Based Study of Hillary Clinton's and Donald Trump's Linguistic Styles [J].
Chen, Xueliang ;
Yan, Yuanle ;
Hu, Jie .
INTERNATIONAL JOURNAL OF ENGLISH LINGUISTICS, 2019, 9 (03) :13-22
[8]  
Chiacchio C. D., 2016, LEARN INDIVID DIFFER, V50, P56, DOI [10.1016/j.lindif.2016.06.025, DOI 10.1016/J.LINDIF.2016.06.025]
[9]   The Mediating Effect of ICT Usage on the Relationship Between Students' Socioeconomic Status and Achievement [J].
Chiao, Chi ;
Chiu, Chiung-Hui .
ASIA-PACIFIC EDUCATION RESEARCHER, 2018, 27 (02) :109-121
[10]  
CHMIELEWSKI AK, 2017, 1704 CEPA