Predicting variables of primary school teachers' technology usage levels with CHAID analysis: Türkiye case
DOI:
https://doi.org/10.29329/pedper.2025.66Keywords:
Educational data mining, CHAID analysis, Information technology usage level scale, Web 2.0 tools, Primary school teachersAbstract
This research has two main purposes. The first is to examine some variables that predict teachers’ technology usage levels using decision tree technique. The second aim is to reveal the relationship between the variables that influence teachers’ Information Technologies Usage Level (ITUL) and their use of Web 2.0 tools. The research was carried out with 442 participating teachers. Data collection tools are personal information form, ITUL scale (Bayraktar, 2015) and Web 2.0 tools usage frequency questionnaire in education. The data were analyzed using CHAID analysis. Research results revealed that ITUL can be explained by the variables of Technology Literacy (TNL), Technology Integration to the Course (TIL), and Communication (COM), while Social Ethics and Legal Provisions (SELP) variable have no significant effects. In addition, ITUL explained by Years in the Profession (YIP) and Computer Usage Level (CUL), while the variables of Gender and Weekly Internet Usage Time (WIUT) have no critical effects. Besides, ITUL is explained by the variables of Blog, Instant Messaging (IM) and Instructional Management Systems (IMS), while the variables of Wiki, Podcast, and Social Sharing Networks (SSN) have no critical effects.
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