Show simple item record

dc.contributor.advisorArif, Hossain
dc.contributor.authorRubaiyat, Nadia
dc.contributor.authorIslam, Anika
dc.contributor.authorIsrat, Lamiah
dc.contributor.authorKabir, Lamiya
dc.date.accessioned2019-02-20T04:56:53Z
dc.date.available2019-02-20T04:56:53Z
dc.date.copyright2018
dc.date.issued2018-12
dc.identifier.otherID 15101079
dc.identifier.otherID 15101082
dc.identifier.otherID 15101088
dc.identifier.otherID 15101124
dc.identifier.urihttp://hdl.handle.net/10361/11441
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionIncludes bibliographical references (pages 34-36).
dc.descriptionCataloged from PDF version of thesis.
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityNadia Rubaiyat
dc.description.statementofresponsibilityAnika Islam
dc.description.statementofresponsibilityLamiah Israt
dc.description.statementofresponsibilityLamiya Kabir
dc.format.extent36 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectDepression
dc.subjectInternet
dc.subjectSocial media
dc.subject.lcshDepression, Mental.
dc.subject.lcshDepression (Psychology)
dc.titleAn experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university studentsen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record