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Makale Özeti:
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This study aims to determine the clustering tendency of computer programming students’ attitude variables regarding distance education
who are educated by this method. This study was carried out in fall semester of 2012-2013 academic year. Sample of the study consists of 92 students studying in the department of distance education computer programming in Karadeniz Technical University. “Distance Education Attitude Survey” consisting of 35 items is used as a data collecting tool.
The obtained data is analyzed with Ward method which is one of the hierarchical clustering methods. According to the cluster analysis, it is seen that attitudes of the students regarding distance education are collected in three main groups as A, B and C. Among these clusters, cluster A has sub clusters as A1 and A2 and, cluster C has also sub clusters as C1 and C2. These clusters are named in accordance with the variables they consist as follows: “A1: Positive effects of distance
education on learning”, “A2: Content and materials of distance education”, “B: Place and importance of distance education”, “C1:
Deficiency and unreliability of distance education”, “C2: Inferiority of distance education and its negative effects on socialization”. When it is evaluated generally, it is seen that clusters A and B reflect the positive attitude variables, C on the other hand reflects the negative attitude
variables.
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