An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliographic Details
Main Authors: Rubaiyat, Nadia, Islam, Anika, Israt, Lamiah, Kabir, Lamiya
Other Authors: Arif, Hossain
Format: Thesis
Language:English
Published: BRAC University 2019
Subjects:
Online Access:http://hdl.handle.net/10361/11441
id 10361-11441
record_format dspace
spelling 10361-114412022-01-26T10:15:48Z An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students Rubaiyat, Nadia Islam, Anika Israt, Lamiah Kabir, Lamiya Arif, Hossain Department of Computer Science and Engineering, BRAC University Depression Internet Social media Depression, Mental. Depression (Psychology) This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Includes bibliographical references (pages 34-36). Cataloged from PDF version of thesis. The tormenting hurdle that is slowly isolating the youth of this generation from being leaders of tomorrow, is depression. In recent times, students have been observed to indulge in compulsive use of Internet which has a relation to the massive upsurge of depressed individuals among the youth. Hence, the main and foremost objective of this research is to find correlation among the leading disorders which are Internet addiction, depression, self-esteem and introversion which can diminish these predicaments. In order to serve this purpose, 461 undergraduate students have been selected arbitrarily from several institutions of Bangladesh and were solicited to complete a standard questionnaire which was prepared based on the self-reported measures concerning the disorders mentioned before. The correlational survey design which was employed through social media contains Internet Addiction Test by Dr. Kimberly Young, Rosenberg Self-Esteem Scale by M. Rosenberg, PROMIS Emotional Distress-Depression short scale and Introversion scale by McCroskey. In pursuit of extracting desired results from the survey as well as to check accuracy, numerous methods have been utilized. Cronbach alpha provided the proof that the data retrieved from the survey is consistent. Subsequently, Chi-square test and ANOVA procured that positive correlations exists among internet addiction, depression, self-esteem and introversion. To corroborate this newly established correlation, multifarious machine learning techniques have been adopted and experimented. These experiments revealed that Internet addiction can predict self-esteem, depression can predict self-esteem and depression can predict introversion. After applying these methods, we came to the conclusion that there exists correlation among the psychological syndromes mentioned above and that this correlation can be exploited and manoeuvred to a positive outcome whose aim will be to reduce the severity of these disorders. Nadia Rubaiyat Anika Islam Lamiah Israt Lamiya Kabir B. Computer Science and Engineering 2019-02-20T04:56:53Z 2019-02-20T04:56:53Z 2018 2018-12 Thesis ID 15101079 ID 15101082 ID 15101088 ID 15101124 http://hdl.handle.net/10361/11441 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 36 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Depression
Internet
Social media
Depression, Mental.
Depression (Psychology)
spellingShingle Depression
Internet
Social media
Depression, Mental.
Depression (Psychology)
Rubaiyat, Nadia
Islam, Anika
Israt, Lamiah
Kabir, Lamiya
An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2 Arif, Hossain
author_facet Arif, Hossain
Rubaiyat, Nadia
Islam, Anika
Israt, Lamiah
Kabir, Lamiya
format Thesis
author Rubaiyat, Nadia
Islam, Anika
Israt, Lamiah
Kabir, Lamiya
author_sort Rubaiyat, Nadia
title An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
title_short An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
title_full An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
title_fullStr An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
title_full_unstemmed An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
title_sort experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
publisher BRAC University
publishDate 2019
url http://hdl.handle.net/10361/11441
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