Qualitative Study Of Nvivo-Based Concept Understanding In Lesson Study Learning In Climate Change Courses

This research aims to explore students' achievement of understanding physics concepts through qualitative data analysis using NVivo. Education, as regulated in Law no. 20 of 2003 concerning the National Education System, aims to develop the potential of students to become individuals who have faith, noble character, knowledge and independence. In this context, learning physics does not only study theory but also applies practice to understand natural phenomena as a whole. The research method used is qualitative, with data sources in the form of learning media, materials and interactions during teaching and learning activities. Data analysis was carried out using NVivo, producing visualizations such as word clouds and word trees to understand the structure and meaning of the data. This study also discusses the use of NVivo and TBLA (Transcript-Based Lesson Analysis) in qualitative data analysis, which shows the effectiveness of data visualization in understanding the relationship between climate change and the agricultural sector. This research confirms the importance of understanding concepts in education and the contribution of NVivo in improving quality qualitative data analysis

Authors

Publication Details

Journal
DIDAKTIKA Jurnal Pemikiran Pendidikan
Published
2025-02-28
DOI
https://doi.org/10.30587/didaktika.v31i1.9546
Primary Topic
Education and Critical Thinking Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Qualitative Study Of Nvivo-Based Concept Understanding In Lesson Study Learning In Climate Change Courses

Nova Susanti, Lenggahing Asri Dwi Eko Saputri, Rahma Dani
DIDAKTIKA Jurnal Pemikiran Pendidikan
Education and Critical Thinking Development
article

Qualitative Study Of Nvivo-Based Concept Understanding In Lesson Study Learning In Climate Change Courses

Nova Susanti, Lenggahing Asri Dwi Eko Saputri, Rahma Dani
article en

Abstract

This research aims to explore students' achievement of understanding physics concepts through qualitative data analysis using NVivo. Education, as regulated in Law no. 20 of 2003 concerning the National Education System, aims to develop the potential of students to become individuals who have faith, noble character, knowledge and independence. In this context, learning physics does not only study theory but also applies practice to understand natural phenomena as a whole. The research method used is qualitative, with data sources in the form of learning media, materials and interactions during teaching and learning activities. Data analysis was carried out using NVivo, producing visualizations such as word clouds and word trees to understand the structure and meaning of the data. This study also discusses the use of NVivo and TBLA (Transcript-Based Lesson Analysis) in qualitative data analysis, which shows the effectiveness of data visualization in understanding the relationship between climate change and the agricultural sector. This research confirms the importance of understanding concepts in education and the contribution of NVivo in improving quality qualitative data analysis

DIDAKTIKA Jurnal Pemikiran PendidikanVol. 31(1)
Openalex Percentile: Top 95%
Education and Critical Thinking Development
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.

Qualitative Study Of Nvivo-Based Concept Understanding In Lesson Study Learning In Climate Change Courses — Nova Susanti, Lenggahing Asri Dwi Eko Saputri, et al. · DIDAKTIKA Jurnal Pemikiran Pendidikan (2025) | TGRS Research Map | TGRS