Assessing and developing college students’ digital learning power: an empirical study based on questionnaire survey in a Chinese university

Abstract Learning power has become a significant impacting factor on learning quality in digital age. This study is a survey at a university in China, using a questionnaire with seven evaluation indicators integrated into learning dimensions, to assess college students’ digital learning power (DLP). The main findings are as follows. College students have achieved the basic level of digital learning power, but the proportion of those with the high level is still low and seven dimensions of college students’ DLP exhibit different characteristics. Moreover, there are significant differences in DLP in terms of gender, discipline, origin and grade. With the change in grades, DLP and its sub-dimensions of college students demonstrates three development trends. It can be inferred that the sophomore and junior years are key stages for cultivating college students’ digital learning power. There is a positive path of progressive development between curiosity and other six dimensions, which indicates that the DLP of college students is characterized by stages ranging from occurrence to development . Accordingly, it is necessary for the improvement of the DLP of college students to construct an evaluation system of DLP, create digital course resources, strengthen academic guidance from teachers and encourage students to engage in independent deep learning.

Authors

Institutions

Publication Details

Journal
International Journal of Educational Technology in Higher Education
Published
2025-03-09
DOI
https://doi.org/10.1186/s41239-025-00514-4
Citations
2
Primary Topic
Psychological and Educational Research Studies
Type
article
Field-Weighted Citation Impact
4.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing and developing college students’ digital learning power: an empirical study based on questionnaire survey in a Chinese university

Mirka Saarela, Lei Zhao, Jiahui Liu, Ayaz Karimov
2 citations
International Journal of Educational Technology in Higher Education
Psychological and Educational Research Studies
4.24
article

Assessing and developing college students’ digital learning power: an empirical study based on questionnaire survey in a Chinese university

Mirka Saarela, Lei Zhao, Jiahui Liu, Ayaz Karimov
article en
2 citations

Abstract

Abstract Learning power has become a significant impacting factor on learning quality in digital age. This study is a survey at a university in China, using a questionnaire with seven evaluation indicators integrated into learning dimensions, to assess college students’ digital learning power (DLP). The main findings are as follows. College students have achieved the basic level of digital learning power, but the proportion of those with the high level is still low and seven dimensions of college students’ DLP exhibit different characteristics. Moreover, there are significant differences in DLP in terms of gender, discipline, origin and grade. With the change in grades, DLP and its sub-dimensions of college students demonstrates three development trends. It can be inferred that the sophomore and junior years are key stages for cultivating college students’ digital learning power. There is a positive path of progressive development between curiosity and other six dimensions, which indicates that the DLP of college students is characterized by stages ranging from occurrence to development . Accordingly, it is necessary for the improvement of the DLP of college students to construct an evaluation system of DLP, create digital course resources, strengthen academic guidance from teachers and encourage students to engage in independent deep learning.

International Journal of Educational Technology in Higher EducationVol. 22(1)
Liaoning Normal University (CN), University of Jyväskylä (FI)
Academy of Finland, Humanities and Social Science Fund of Ministry of Education of China
Openalex Percentile: Top 8%
Psychological and Educational Research Studies
4.24
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.