Abstract
AbstractAn independent university refers to an institution of higher learning that has a bachelor's degree or higher education, and cooperates with social organizations other than state institutions or individuals to use non-state financial funds to establish and implement undergraduate education. While welcoming the arrival of the fifth-generation communication technology (5G) era, China's independent universities are also carrying out educational reforms to adapt to social development. 5G has created new opportunities for the development of students. Cloud computing refers to a system with extremely strong computing power formed through computer networks (mostly the Internet), which can store, collect relevant resources and configure them as needed to provide personalized services to users. Therefore, this paper studied and discussed the application of 5G and cloud computing in English vocabulary learning in independent universities. This paper explores the impact of 5G and cloud computing environments on independent college English vocabulary learning. With the assistance of 5G technology and a cloud computing environment, students' vocabulary mastery and application abilities have achieved certain improvements. Students' vocabulary learning can not only effectively break through the constraints of region and time, but also improve the interaction of learning and promote the communication and exchange between learners. This can not only deepen the understanding of vocabulary but also stimulate students' learning initiative and improve their learning ability and level. Given the current situation of English vocabulary acquisition, this paper used the fuzzy evaluation method to establish an evaluation model. The learning platform built by 5G and cloud computing technology has been utilized to study the effect of applying it to learners' vocabulary learning. In the questionnaire survey, 43.00% of the students are generally satisfied with the current English vocabulary teaching, 33.20% of the students think that their learning effect is average, 43.00% of the students think that the arrangement of teaching content is not reasonable, and 35.40% of the students think that the arrangement of class hours is generally reasonable. Before the experiment, the vocabulary of 68 and 65 students in the experimental group and the control group were between 1500–3500. Through the experiment, 67 students in the experimental group had vocabularies in the range of 3501–6500, while the vast majority of students in the control group still had vocabularies in the range of 1500–3500. In addition, through the experiment, the average total score of English test scores increased from 67 to 87 for the experimental group and from 69 to 72 for the control group. Based on the above data, it can be seen that the learning of English vocabulary through independent learning platforms built on 5G and cloud computing has a significant effect on the learning of English vocabulary of independent university students.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. English Teaching Ability Evaluation Algorithm based on K-Means Data Algorithm;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01