Educational Technology Leadership in Artificial Intelligence Era for Techer Basic Education Schools
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Abstract
This article aimed to analyze exploratory factors of educational technology leadership in the artificial intelligence era for basic education teachers. The sample comprised 398 teachers in the Office of the Basic Education Commission. They were selected through multi-stage sampling. The research instruments included 1) a semi-structured interview form and 2) a questionnaire for exploratory factor analysis of educational technology leadership in the artificial intelligence era. Data were analyzed using basic statistics, including percentage and standard deviation, while the exploratory factor analysis employed principal component extraction and orthogonal rotation. The artificial intelligence era comprises four components with 49 indicators: Component 1, basic knowledge and skills in artificial intelligence, including 19 indicators; Component 2, artificial intelligence system management, containing 12 indicators; Component 3, teaching and learning with artificial intelligence, consisting of 13 indicators; and Component 4, ethics and responsibility in using artificial intelligence, comprising 5 indicators. All components had eigenvalues greater than 1.00, with a total variance of 67.30%. Each component explained 10.07%, 9.11%, 8.66%, and 5.14% of the variance, respectively. This research can be used to develop elements into indicators of characteristics of individuals with educational technology leadership in the current era of artificial intelligence. It can also develop a model to measure educational technology leadership in the era of artificial intelligence for use with teachers at various levels.
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