Author(s)

Wei Feng ¹

Affiliation(s)

¹ School of International Education, Jiangsu Vocational College of Finance and Economics, Huaian, Jiangsu, 223003, China

Corresponding Author

Wei Feng

ABSTRACT

Digital English education has entered a new era before the emergence of artificial intelligence (AI). The adoption of AI teaching into China's teaching reform has become inevitable. AI has effectively integrated and shared educational resources in China. This paper aimed to study how to analyze and research the development of digital English education based on AI. At the same time, Analytic Hierarchy Process (AHP) was used to evaluate AI's promotion of digital English education. After the questionnaire survey was distributed to 500 students, this paper analyzed 488 valid questionnaires. Among the tendencies in English education, 85.04% of students chose to use multimedia equipment to assist teaching. It can be seen that multimedia assisted instruction has become the first choice for most students. In addition, a questionnaire survey was conducted among teachers of English majors. Among 200 valid questionnaires, 59.00% of teachers chose to show their learning content for the purpose of using multimedia materials. It can be seen from this that most of the teachers in the school are still at the stage of displaying the content. To sum up, in order to enable students to better accept digital teaching, their initiative and enthusiasm to better use and manage digital resources and other related information technologies and carry out independent and effective learning in a digital environment has been enhanced, so that they can better use and manage digital resources and other related information technologies to understand their own learning in a digital environment.

KEYWORDS

English Education Development, Artistic Intelligence, Digital Model, Analytical Hierarchy Process

CITE THIS PAPER

Wei Feng, Development of Digital English Education in the Context of Artificial Intelligence. Journal of Artificial Intelligence Practice (2024) Vol. 7: 17-26. DOI: http://dx.doi.org/10.23977/jaip.2024.070104.

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