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Purpose: Therefore, the aim of this study is to investigate Swedish technology teachers’ attitudes toward their subject, and how these attitudes may be related to background variables.
Sample: Technology teachers in Swedish compulsory schools (n = 1153) responded to a questionnaire about teachers’ attitudes, experiences, and background.
Methods: Exploratory factor analysis was used to inwvestigate attitude dimensions of the questionnaire. Groupings of teachers based on attitudes were identified through cluster analysis, and multinomial logistic regression was performed to investigate the role of teachers’ background variables as predictors for cluster belonging.
Results: Four attitudinal dimensions were identified in the questionnaire, corresponding to distinct components of attitudes. Three teacher clusters were identified among the respondents characterized by positive, negative, and mixed attitudes toward the subject of technology and its teaching, respectively. The most influential predictors of cluster membership were to be qualified for teaching technology, having participated in in-service-training, teaching at a school with a proper overall teaching plan for the subject of technology and teaching at a school with a defined number of teaching hours for the subject.
Conclusions: The results suggest that efforts to increase technology teachers’ qualifications and establishing a fixed number of teaching hours and an overall teaching plan for the subject of technology may yield more positive attitudes among teachers toward technology teaching. In turn, this could improve the status of the subject as well as students’ learning. 相似文献