File:LESSONS IN IDEOLOGY- A STUDY OF THE RELATIONSHIP BETWEEN FORMAL EDUCATION, SOCIALIZATION, AND VIOLENT EXTREMISM (IA lessonsinideolog1094560414).pdf

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search
Go to page
next page →
next page →
next page →

Original file(1,275 × 1,650 pixels, file size: 1.09 MB, MIME type: application/pdf, 138 pages)

Captions

Captions

Add a one-line explanation of what this file represents

Summary[edit]

LESSONS IN IDEOLOGY: A STUDY OF THE RELATIONSHIP BETWEEN FORMAL EDUCATION, SOCIALIZATION, AND VIOLENT EXTREMISM   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Johnson, Isaac D.
Title
LESSONS IN IDEOLOGY: A STUDY OF THE RELATIONSHIP BETWEEN FORMAL EDUCATION, SOCIALIZATION, AND VIOLENT EXTREMISM
Publisher
Monterey, CA; Naval Postgraduate School
Description

Western governments have invested considerable resources in counter-violent extremism (CVE) programs in an effort to reduce the spread of terrorism both domestically and internationally. One approach, formal education, holds potential as a long-term strategy for preventing violent extremist ideologies from taking hold in a community. While many CVE experts agree that education is a valuable tool for preventing extremism, exactly what skills, knowledge, theories, and other aspects of education are most effective in countering violent extremism is still a matter of debate. This thesis applies socialization theory as an analytical lens to three case studies of educational programs in Indonesia and Australia to analyze how these programs instill commitment to the desired values and behaviors within students. It finds that socialization theory provides a useful framework for analyzing the ability of an educational institution to effect widespread social change, such as countering violent extremism. This research also indicates that a program’s influence is not necessarily limited by its size, but considerable time, resources, and direction are required to achieve an organization’s goals through education. Considering these findings, this thesis recommends that CVE practitioners incorporate socialization theory into future education programs to assist in countering violent extremist ideologies in target populations.


Subjects: education; violent extremism; radicalization; socialization; CVE; Indonesia; Australia; Salafism; Muhammadiyah
Language English
Publication date September 2018
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink
Accession number
lessonsinideolog1094560414
Source
Internet Archive identifier: lessonsinideolog1094560414
https://archive.org/download/lessonsinideolog1094560414/lessonsinideolog1094560414.pdf
Permission
(Reusing this file)
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.

Licensing[edit]

Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current14:54, 22 July 2020Thumbnail for version as of 14:54, 22 July 20201,275 × 1,650, 138 pages (1.09 MB) (talk | contribs)FEDLINK - United States Federal Collection lessonsinideolog1094560414 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #20728)

Metadata