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Applying the Chaid Algorithm To Analyze How Achievement Is Influenced by University Students' Demographics, Study Habits, and Technology Familiarity

dc.authorid Baran, Bahar/0000-0002-9179-3469
dc.authorscopusid 14830920700
dc.authorscopusid 56275797600
dc.authorwosid Baran, Bahar/P-1087-2014
dc.contributor.author Baran, Bahar
dc.contributor.author Kilic, Eylem
dc.date.accessioned 2025-05-10T16:58:40Z
dc.date.available 2025-05-10T16:58:40Z
dc.date.issued 2015
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Baran, Bahar] Dokuz Eylul Univ, Buca Fac Educ, Dept Comp Educ & Instruct Technol, TR-35150 Izmir, Turkey; Yuzuncu Yil Univ, Fac Educ, Dept Comp Educ & Instruct Technol, TR-65080 Van, Turkey en_US
dc.description Baran, Bahar/0000-0002-9179-3469 en_US
dc.description.abstract The purpose of this study is to analyze three separate constructs (demographics, study habits, and technology familiarity) that can be used to identify university students' characteristics and the relationship between each of these constructs with student achievement. A survey method was used for the current study, and the participants included 2,949 university students from 11 faculties of a public university in Turkey. A survey was used to collect data, and the data were analyzed using the chi-squared automatic interaction detection (CHAID) algorithm. The results of the study revealed that female students are significantly more successful than male students. In addition, the more introverted students, whether male or female, have higher grade point averages (GPAs) than those students who are more extroverted. Furthermore, male students who use the Internet more than 22 hours per week and use the Internet for up to six different aims have the lowest GPAs among all students, while female students who use the Internet for up to 21 hours per week have the highest GPAs among all students. The implications of these findings are also discussed herein. en_US
dc.description.woscitationindex Social Science Citation Index
dc.identifier.endpage 335 en_US
dc.identifier.issn 1176-3647
dc.identifier.issn 1436-4522
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-84930334123
dc.identifier.scopusquality Q1
dc.identifier.startpage 323 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14720/4328
dc.identifier.volume 18 en_US
dc.identifier.wos WOS:000354884000024
dc.identifier.wosquality Q1
dc.language.iso en en_US
dc.publisher int Forum Educational Technology & Soc, Natl Taiwan Normal Univ en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Higher Education en_US
dc.subject Achievement en_US
dc.subject Gender en_US
dc.subject Technology en_US
dc.subject Motivation en_US
dc.subject Decision Tree en_US
dc.title Applying the Chaid Algorithm To Analyze How Achievement Is Influenced by University Students' Demographics, Study Habits, and Technology Familiarity en_US
dc.type Article en_US

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