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Derginin Adı:
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Problems of Education in the 21st Century
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Cilt:
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2019/77
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Sayı:
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3
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Makale Başlık:
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CLASSIFICATION OF ENGINEERING STUDENTS' SELF-EFFICACY TOWARDS VISUAL-VERBAL PREFERENCES USING DATA MINING METHODS
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Makale Alternatif Dilde Başlık:
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Alternatif dilde başlık bulunmamaktadır. There is no article title in another language.)
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Makale Eklenme Tarihi:
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29.06.2019
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Okunma Sayısı:
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1
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Makale Özeti:
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The purpose of this research was to build a classification model and to measure the correlation of self-efficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The measurement of the correlation of engineering students' self-efficacy with visual-verbal preferences using the data mining method approach gets the result that self-efficacy does not correlate with visual-verbal preferences. However, engineering students' self-efficacy influences the achievement of initial learning outcomes. Visual-verbal preference is more influenced by students' interest in images so it can be concluded that self-efficacy affects the initial results of learning but does not have a correlation with visual-verbal preferences. The results of the decision tree provide the results that are easily understood and present a correlation between self-efficacy and visual-verbal preferences in a visual form.
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Alternatif Dilde Özet:
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Alternatif dilde abstract bulunmamaktadır. (There is no abstract in another language.)
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