Abstract
With the improvement of the world economy and scientific level, information technology has penetrated into every field of people's life. At present, the intensive development strategy of educational modernization creates conditions for intelligent learning, and promotes the in-depth application of artificial intelligence (AI) in education. By using Intellisense technology to analyze method teaching and AI affective computing technology, a classroom model of English audio-visual listening and speaking can be created. At the same time, anxiety is the most common psychological phenomenon in English psychology classes, and it is also the most important negative emotional factor leading to learning disabilities. At present, anxiety in college English audio-visual class is one of the main reasons for students' concern. Therefore, this paper used AI to analyze the anxiety of students in the smart classroom, and then reduced the anxiety of students by improving the smart classroom model. The results showed that students' anxiety in the English audio-visual smart classroom under AI decreased by 11% compared with the traditional classroom, and the students' comprehensive English level increased by 6% compared with the traditional classroom.
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Meng, X., & Wong, B. E. (2024). Anxiety Sentiment Evaluation and Coping Strategies in English Audio-visual Smart Classroom Based on Artificial Intelligence. Pakistan Journal of Life and Social Sciences, 22(2), 9917–9927. https://doi.org/10.57239/PJLSS-2024-22.2.00749
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