Analysis of Predictive Factors Affecting on Digital Literacy: Comparison of MZ Generation with Older Generation

This study analyzes differences in digital literacy of Koreans between the MZ and older generations, and investigate affecting factors for each group.Especially, the purpose of this study is to examine the relationship between demographic variables, various media-use, the use of smart devices, active cognitive disposition and online based activities and an individual's digital literacy competency.Those between 20 and 39 years old were classified as the MZ generation, and those between 40 and 65 years old were classified as the older generation.Data from the "Korean Media Panel Data 2022" were used.1,885 of the MZ generation and 2,700 of the older generation were analyzed.First, the results revealed differences in digital literacy between groups, and differences in factors affecting digital literacy by generation.Second, 'media participation level', 'online based activities' are the factors that commonly affect the digital literacy of the two generations group, those affecting the MZ generation are more distinct.Education level, housing type, income level, active cognitive disposition, the use of smart devices were influential factors for the older generation, which differentiated them from the MZ generation.This study suggests theoretical implications of results, and discussed suggestions for future research and study's limitations.

Authors

Publication Details

Journal
Asia-pacific Journal of Convergent Research Interchange
Published
2024-11-29
DOI
https://doi.org/10.47116/apjcri.2024.11.12
Citations
1
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
4.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Predictive Factors Affecting on Digital Literacy: Comparison of MZ Generation with Older Generation

Sang Hyon Baek
1 citations
Asia-pacific Journal of Convergent Research Interchange
Diverse Topics in Contemporary Research
4.29
article

Analysis of Predictive Factors Affecting on Digital Literacy: Comparison of MZ Generation with Older Generation

Sang Hyon Baek
article en
1 citations

Abstract

This study analyzes differences in digital literacy of Koreans between the MZ and older generations, and investigate affecting factors for each group.Especially, the purpose of this study is to examine the relationship between demographic variables, various media-use, the use of smart devices, active cognitive disposition and online based activities and an individual's digital literacy competency.Those between 20 and 39 years old were classified as the MZ generation, and those between 40 and 65 years old were classified as the older generation.Data from the "Korean Media Panel Data 2022" were used.1,885 of the MZ generation and 2,700 of the older generation were analyzed.First, the results revealed differences in digital literacy between groups, and differences in factors affecting digital literacy by generation.Second, 'media participation level', 'online based activities' are the factors that commonly affect the digital literacy of the two generations group, those affecting the MZ generation are more distinct.Education level, housing type, income level, active cognitive disposition, the use of smart devices were influential factors for the older generation, which differentiated them from the MZ generation.This study suggests theoretical implications of results, and discussed suggestions for future research and study's limitations.

Asia-pacific Journal of Convergent Research InterchangeVol. 10(11)
Quality Education
Openalex Percentile: Top 6%
Diverse Topics in Contemporary Research
4.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.