Examining the Readiness of Science Teachers for Online Education with a Decision Tree
DOI:
https://doi.org/10.46328/ijemst.5761Keywords:
Science Teachers, Readiness, Distance Education, CHAID analysisAbstract
In this study, the preparedness of science teachers for online education was examined. The research, which used the survey method, involved 306 science teachers working in institutions affiliated with the Ministry of National Education during the 2023-2024 academic year. The "Preparedness for Online Teaching Survey" was used as the data collection tool, and descriptive statistical techniques along with the CHAID algorithm, a decision tree algorithm used for classification analysis, were employed for data analysis. According to the research results, it was found that the participants' competence and attitudes towards technology use in online teaching, as well as their perceptions of online teaching, social connections, and student participation, were positive (at the agree level). It was observed that as the frequency of using video conferencing and EBA (Educational Information Network) increased, the participants' perceptions of online teaching became more positive. Furthermore, the use of teaching methods and techniques such as direct instruction, educational games, question-answer, drama, discussion, and case studies positively affected their perceptions of online teaching.
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