Systematic analysis on school violence and bullying using data mining

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AUB8TUYTL" target="_blank" >RIV/00216208:11320/23:UB8TUYTL - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163336595&doi=10.1016%2fj.childyouth.2023.107020&partnerID=40&md5=5faed8c2f2bf275fc4d366b0b5226258" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163336595&doi=10.1016%2fj.childyouth.2023.107020&partnerID=40&md5=5faed8c2f2bf275fc4d366b0b5226258</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.childyouth.2023.107020" target="_blank" >10.1016/j.childyouth.2023.107020</a>

Result language

angličtina

Original language name

Systematic analysis on school violence and bullying using data mining

Original language description

"Background: School violence and bullying public issues that have been related to several risk factors and negative consequences. These have been the subject of several research, education, and policy. An increased number of related publications were found from the past years. However, published narrative, systematic, and meta-analysis reviews are limited only to the synthesis and analysis of studies to certain numbers due to the manual and tedious process involved. Objective: To identify prevalent school violence and bullying research, and to describe the temporal trends of topics within the last three decades using data mining. Methodology: This study systematically mined abstracts from Web of Science and Scopus using the keywords “school violence” or “school bullying” to characterize the relevant literature by an efficient and effective approach. Pre-processing, word frequency and co-occurrence analysis, topic modeling, and trend analysis were done to detect semantic patterns and explore the yearly development of research themes. R packages like udpipe, stopwords, topicmodel were utilized to perform all data mining processes. Results: Primary categories of research topics were related to definition, forms, consequences, factors, and strategies of school violence and bullying. The most prevalent school violence and bullying research are related to “bullying phenomenon,” “physical school environment,” “sexual violence,” “physical violence” and “influencing factors.” While the least prevalent school violence and bullying research are related to “monitoring and evaluation,” “nature of conflict,” “victimization and self-identification,” “psychological violence and bullying” and “social context of bullying.” Overall, except for the topic on monitoring and evaluation (p 0.06), all school violence and bullying research topics showed an increasingly significant trend (p < 0.05) from 1995 to 2021. Conclusion: The use of data mining to understand the research publications about school violence and bullying revealed that there is a large amount of research since the 1990s. However, some topics of school violence and bullying, like monitoring and evaluation, still need further study. © 2023 Elsevier Ltd"

Czech name

—

Czech description

—

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Children and Youth Services Review"

ISSN

0190-7409

e-ISSN

—

Volume of the periodical

150

Issue of the periodical within the volume

2023

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1-13

UT code for WoS article

001013548300001

EID of the result in the Scopus database

2-s2.0-85163336595