Advancing english language education: A mixed-methods analysis of AI-driven tools'impact on engagement, personalization, and learning outcomes
摘要
Artificial Intelligence (AI) and cutting-edge technology have been incorporated into schooling in recent years and have changed teaching and learning processes across various disciplines. In English language teaching, AI offers innovative solutions to improve learning results by offering individualized and flexible educational opportunities, improving engagement and motivation, and offering precise feedback mechanisms. In order to improve learning results, this research intends to examine how AI and technology can be incorporated into the teaching of English. Using a mixed-methods approach, 50 instructors participated in semi-structured interviews to obtain qualitative insights, while 530 participants (410 students and 120 teachers) completed a structured questionnaire to provide quantitative data. Additionally, a pre-post test intervention involving 410 students measured the direct impact of AI and technology on learning outcomes. Quantitative data was examined using SPSS software, while qualitative data was assessed using NVivo software. According to the findings, using AI in English instruction greatly boosts student interest and engagement, which enhances learning results. This study's novelty comes from its thorough investigation of how AI and technology can significantly enhance English language teaching and learning outcomes. By employing a mixed-methods methodology that blends significant quantitative data from teachers and students with qualitative observations from interviews, it provides a comprehensive understanding of AI's effects. The results highlight how AI may improve academic results, personalize learning experiences, and increase student engagement, thereby shaping future educational practices and policies in language instruction.