Influences of Artificial Intelligence in Education on Teaching Effectiveness

The continuous development and application of artificial intelligence (AI) technology greatly support education reform and profoundly influence the learning styles of learners. Artificial intelligence in education (AIED) can help teachers recognize teaching tasks explicitly and teach content accurately. Moreover, AIED can help students change the traditional learning styles according to their differences, thereby realizing intelligent teaching and meeting the learning needs of students. A good teachers’ perception of educational technology (ET) is beneficial for using AI technology to positively assist all teaching links, which in turn improves teaching effectiveness. In this study, five hypotheses concerning the influences of AIED on teaching effectiveness were verified. The teachers’ perception of ET was introduced as a mediating variable, and the mediating effect of AIED on the improvement of teaching effectiveness was analyzed. The influences of AI using the period of learners on teaching effectiveness were estimated. Results showed that the overall Cronbach α and Kaiser–Meyer–Olkin of the designed questionnaire were 0.907 and 0.878, respectively. Moreover, the χ2 of Bartlett’s test of sphericity reached the 0.01 significance level, indicating the considerable good reliability and validity of the questionnaire. All four aspects, namely, AI-assisted teaching, exercise, exam, and assessment, had significantly positive influences on teaching effectiveness. The teachers’ perceptions of ET played a partial mediating effect for AIED on the improvement of teaching effectiveness. Samples with different AI-using periods had significant influences on teaching (p < 0.01). Research conclusions can provide important references to teachers for making scientific use of AIED and propose more accurate teaching strategies according to the learning states of learners.