Analysis of the Construction of Multimedia Networks for English Teaching Methods with Improved Genetic Algorithm
Tang Jun
International Journal of Computational Linguistics Research, Vol. 15, No. 1, 2024.
DOI: https://doi.org/10.6025/jcl/2024/15/1/1-9
Link: https://www.dline.info/jcl/fulltext/v15n1/jclv15n1_1.pdf
Abstract:
This article studies the teaching mode of college English in a network environment based on genetic algorithms and multimedia technology. With the development of information technology, the online  environment provides new opportunities and challenges for English teaching. In this environment, tudents can access more learning resources, but at the same time, they also need to have a certain  level of
information literacy and learning ability. Therefore, exploring teaching models that
adapt to this environment has important practical significance. The study adopted
methods based on genetic algorithms and multimedia technology to analyze the
English learning process in a network environment and develop a teaching plan
more aligned with studentsâ€™ needs. This plan fully considers factors such as studentsâ€™
learning styles and cognitive levels and adopts various teaching strategies, such
as situational and cooperative learning. At the same time, the study also utilizes
multimedia technologies such as speech recognition and artificial intelligence to
provide students with a more personalized and intelligent learning experience.
This teaching model improves studentsâ€™ English proficiency and cultivates their
autonomous and cooperative learning abilities.