Academic digital literacy training to improbe student’s academic success

The development of information technology requires students to have good academic digital literacy skills to support their study success. However, many students still have difficulty in accessing, evaluating, and utilizing academic information sources effectively. This study aims to evaluate the effectiveness of academic digital literacy training in improving students’ academic success, as measured by increasing digital literacy, academic assignment grades, and perceptions of academic success. The study used a quasi-experimental design (one group pretest-posttest design) involving 60 students from social science and education study programs. The training was conducted in six sessions covering scientific information searches, use of reference management, citation writing, and academic ethics. The instruments used included academic digital literacy tests, final assignment grades, and a scale of perceptions of academic success. Data analysis was carried out using a paired sample t-test. The results showed a significant increase in academic digital literacy scores (mean pretest = 62.13; posttest = 83.45; p < 0.001), final assignment grades (mean pretest = 75.62; posttest = 84.73; p < 0.001), and students’ perceptions of academic success (mean pretest = 3.32; posttest = 4.18; p < 0.001). Academic digital literacy training has been shown to be effective in improving students’ digital literacy skills and academic success.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-05
DOI
https://doi.org/10.1051/shsconf/202522407009/pdf
Primary Topic
Educational Methods and Media Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Academic digital literacy training to improbe student’s academic success

Springer Link (Chiba Institute of Technology)
Educational Methods and Media Use
article

Academic digital literacy training to improbe student’s academic success

article en

Abstract

The development of information technology requires students to have good academic digital literacy skills to support their study success. However, many students still have difficulty in accessing, evaluating, and utilizing academic information sources effectively. This study aims to evaluate the effectiveness of academic digital literacy training in improving students’ academic success, as measured by increasing digital literacy, academic assignment grades, and perceptions of academic success. The study used a quasi-experimental design (one group pretest-posttest design) involving 60 students from social science and education study programs. The training was conducted in six sessions covering scientific information searches, use of reference management, citation writing, and academic ethics. The instruments used included academic digital literacy tests, final assignment grades, and a scale of perceptions of academic success. Data analysis was carried out using a paired sample t-test. The results showed a significant increase in academic digital literacy scores (mean pretest = 62.13; posttest = 83.45; p < 0.001), final assignment grades (mean pretest = 75.62; posttest = 84.73; p < 0.001), and students’ perceptions of academic success (mean pretest = 3.32; posttest = 4.18; p < 0.001). Academic digital literacy training has been shown to be effective in improving students’ digital literacy skills and academic success.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 28%
Educational Methods and Media Use
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.