The level of perceived efficacy from teachers to access AI-based teaching applications

The purpose of this study is to develop the ‘Teachers’ Efficacy Perceptions AI-based Teaching Applications (TEP-AITA) scale’ and describe analysis background variables differences between six factors in application an Artificial Intelligence (AI) teaching efficacy perceptions questionnaire. In total, 714 vocational senior high school teachers participated random cluster sampling Taiwan. results showed that internal consistency reliability measure was .988 subscales .975, .971, .981, .976, .972, .967. found TEP-AITA scale included ‘Resource support’, ‘Innovative teaching’, ‘Cross-disciplinary’, ‘Professional learning’, ‘Learner demand’, ‘Self-reflection’. ‘Cross-disciplinary’ demand’ were highly rated, while ’Resource support’ low. This analyzed perceived for applications among according their variables, such as gender, current position, attributes, teachers’ seniority, AI experience. research on teacher could be provided education units active promotion information technology training.