An Empirical Study on the Implementation of AI Assisted Language Teaching for Improving Learner's Learning Ability

Intelligent technology shows great potential in education in terms of integrating intelligent technology with meaningful and deep teaching. Thus, the value of technology has aroused many scholars' thinking. As a basic component of students' academic achievement evaluation, foreign language competence has become one of the core issues of common concern in English teaching. Because of the “digital aboriginal”, the English learning ability of contemporary primary school students has gradually become one of the main goals of the subject of language, which has become a core quality of students to be considered competent enough for future challenges. This study aims to determine whether the AIALL teaching model can help improve students' learning abilities in English learning. The research method was to apply the AIALL teaching model to English teaching for experimental classes, while the control class was taught the traditional way. A questionnaire of English learning ability was used as a measure of students' English learning abilities. Results were analyzed by single-factor stratified group experiments, and the conclusions showed that the AIALL teaching model can improve the overall level of primary school students' English performance. Furthermore, the AIALL teaching model can improve the overall level of learning ability of primary school students.