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ERIC Number: EJ1070066
Record Type: Journal
Publication Date: 2015
Pages: 13
Abstractor: As Provided
ISSN: EISSN-1436-4522
Applying the CHAID Algorithm to Analyze How Achievement Is Influenced by University Students' Demographics, Study Habits, and Technology Familiarity
Baran, Bahar; KiliƧ, Eylem
Educational Technology & Society, v18 n2 p323-335 2015
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey
Grant or Contract Numbers: N/A