Improving the Digital Literacy Skills of Junior High School Students through Blended Learning

This study aims to determine the effect of various blended learning models on digital literacy, namely station rotation, lab rotation, and pedati. This study is a true experimental study using a pretest-posttest control group design. The research population included all eighth grade students at SMP Negeri 2 Sengkang. The research sample was taken using random sampling, resulting in four classes, namely VIII.1 as the control class with STAD learning, and three experimental classes: VIII.2 with blended learning station rotation, VIII.3 with blended learning lab rotation, and VIII.4 with blended learning pedati. The instrument used was the students' digital literacy instrument. Data was collected through a digital literacy questionnaire that was given before and after learning. Data analysis was performed using ANCOVA with a significance level of 0.05. The results revealed that the application of blended learning with the station rotation, lab rotation, and pedati models influenced digital literacy. Based on the LSD (Least Significant Difference) follow-up test, blended learning with the lab rotation model obtained the highest average score compared to the other two models. This finding emphasizes the importance of technology integration in the learning process, especially in improving students' digital literacy. Keywords: digital literacy, station rotation, lab rotation, pedati.

Authors

Publication Details

Journal
Jurnal Pendidikan MIPA
Published
2025-04-16
DOI
https://doi.org/10.23960/jpmipa.v26i1.pp412-428
Primary Topic
Digital literacy in education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the Digital Literacy Skills of Junior High School Students through Blended Learning

Asham Bin Jamaluddin, Adnan Adnan, Andi Nurul Adha Andika
Jurnal Pendidikan MIPA
Digital literacy in education
article

Improving the Digital Literacy Skills of Junior High School Students through Blended Learning

Asham Bin Jamaluddin, Adnan Adnan, Andi Nurul Adha Andika
article en

Abstract

This study aims to determine the effect of various blended learning models on digital literacy, namely station rotation, lab rotation, and pedati. This study is a true experimental study using a pretest-posttest control group design. The research population included all eighth grade students at SMP Negeri 2 Sengkang. The research sample was taken using random sampling, resulting in four classes, namely VIII.1 as the control class with STAD learning, and three experimental classes: VIII.2 with blended learning station rotation, VIII.3 with blended learning lab rotation, and VIII.4 with blended learning pedati. The instrument used was the students' digital literacy instrument. Data was collected through a digital literacy questionnaire that was given before and after learning. Data analysis was performed using ANCOVA with a significance level of 0.05. The results revealed that the application of blended learning with the station rotation, lab rotation, and pedati models influenced digital literacy. Based on the LSD (Least Significant Difference) follow-up test, blended learning with the lab rotation model obtained the highest average score compared to the other two models. This finding emphasizes the importance of technology integration in the learning process, especially in improving students' digital literacy. Keywords: digital literacy, station rotation, lab rotation, pedati.

Jurnal Pendidikan MIPAVol. 26(1)
Openalex Percentile: Top 86%
Digital literacy in education
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.