EDUCAÇÃO PERSONALIZADA NAS PUBLICAÇÕES BRASILEIRAS: UMA ANÁLISE BIBLIOMÉTRICA COM O SOFTWARE IRAMUTEQ

Personalized education aims to make the student the protagonist, but it is important to note that it cannot be summed up as a one-off action, but rather as the development and monitoring of the broader educational process, which emphasizes changes in student development. In this sense, the aim of this article was to analyze the definition of personalized education through a bibliographic survey of national texts by means of a bibliometric analysis using the Iramuteq software. This is a qualitative-quantitative study, defined as a bibliographical, exploratory and descriptive study. The methodology was divided into two stages: the first, a bibliographical survey; the second, a bibliometric analysis of articles, dissertations and theses using Iramuteq to carry out textual and hierarchical descending statistical analysis. A total of 17 articles and eight dissertations were found that addressed definitions of personalized education. No theses on the subject were identified. In the bibliometric analysis, the descending hierarchical analysis made it possible to present the definition of personalized education in the articles and dissertations, based on the arguments that were presented in the corpus of texts. In relation to the use of Iramuteq for content analysis, it proved to be relevant for the results of this research to be generated, as well as contributing to the efficiency of the data analysis process, due to the quantity of materials that were analyzed and it was also a promising ally in decoding the data, configuring itself as software to assist in content analysis.

Authors

Institutions

Publication Details

Journal
Colloquium humanarum
Published
2024-12-04
DOI
https://doi.org/10.5747/ch.2024.v20.h586
Primary Topic
Science and Education Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EDUCAÇÃO PERSONALIZADA NAS PUBLICAÇÕES BRASILEIRAS: UMA ANÁLISE BIBLIOMÉTRICA COM O SOFTWARE IRAMUTEQ

Bruno Silva Leite, Nayara de Lima Oliveira
Colloquium humanarum
Science and Education Research
article

EDUCAÇÃO PERSONALIZADA NAS PUBLICAÇÕES BRASILEIRAS: UMA ANÁLISE BIBLIOMÉTRICA COM O SOFTWARE IRAMUTEQ

Bruno Silva Leite, Nayara de Lima Oliveira
article en

Abstract

Personalized education aims to make the student the protagonist, but it is important to note that it cannot be summed up as a one-off action, but rather as the development and monitoring of the broader educational process, which emphasizes changes in student development. In this sense, the aim of this article was to analyze the definition of personalized education through a bibliographic survey of national texts by means of a bibliometric analysis using the Iramuteq software. This is a qualitative-quantitative study, defined as a bibliographical, exploratory and descriptive study. The methodology was divided into two stages: the first, a bibliographical survey; the second, a bibliometric analysis of articles, dissertations and theses using Iramuteq to carry out textual and hierarchical descending statistical analysis. A total of 17 articles and eight dissertations were found that addressed definitions of personalized education. No theses on the subject were identified. In the bibliometric analysis, the descending hierarchical analysis made it possible to present the definition of personalized education in the articles and dissertations, based on the arguments that were presented in the corpus of texts. In relation to the use of Iramuteq for content analysis, it proved to be relevant for the results of this research to be generated, as well as contributing to the efficiency of the data analysis process, due to the quantity of materials that were analyzed and it was also a promising ally in decoding the data, configuring itself as software to assist in content analysis.

Colloquium humanarumVol. 21(1)
Universidade Federal de São Carlos (BR), Universidade Federal Rural de Pernambuco (BR)
Quality Education
Openalex Percentile: Top 69%
Science and Education Research
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.