Abstract
Mobile learning has emerged as a popular model for the teaching and learning process, which can also be described as a modernised version of the traditional classroom learning process. As modern education has been implemented, the educational level of both students and teachers has improved. This advancement is made possible by increased knowledge of how to use mobile technology with the Internet. In this study, a multiprocessor learning-based CNN algorithm is proposed to improve students’ English language speaking fluency. Additionally, the students and the teachers are considered available in the remote area, and the communication between them is done through an interactive system. The model is designed to focus on a teacher-centric perspective, in which the teacher has to make use of multiple resources or applications to perform an easier understanding of the course for the students. Hence, an intelligent system is designed to make the learning processes successful. The results show that the proposed algorithm works well in improving the teaching efficiency of mobile English learning. It also revealed that the accuracy level of the learning system used by college and university students has increased by 10%.
Highlights
The English mobile learning system for college students is built in accordance with existing educational learning theory as well as design and development principles
The questionnaire method was adopted to demonstrate the feasibility of a mobile learning system
An English mobile learning system was designed for colleges, and the teaching effect was tested
Summary
Mobile learning is a new form of distance learning and a new expansion of e-learning. The goal of mobile learning is that students can learn anything at any place, any time, and any way [1]. Mobile learning seems to have had a considerable impact on traditional forms of education It changes the significant deficiencies in the traditional system of teaching, which is limited by time and space and makes teaching more interesting, allows students to become more dynamic, and attracts a large number of people to enthusiastically carry out mobile learning [2]. It is critical to incorporate artificial intelligence technology into mobile learning. It is an important part of improving mobile learning. It simulates an expert and a professor attempting to teach thought patterns and employs advanced teaching
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