Open AccessRETRACTED: The Design of College English Teaching Platform Based on Artificial Intelligence
Author(s) -
Xuxuan Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2066/1/012084
Subject(s) - computer science , engineering management , service (business) , function (biology) , college english , the internet , christian ministry , management system , knowledge management , engineering , mathematics education , world wide web , psychology , operations management , economy , evolutionary biology , economics , biology , philosophy , theology
Entering the 21st century, with the rapid development of the computer Internet, the transformation of the functions of schools in moral education and teaching management has been further strengthened, and the construction of educational information in my country has entered a new stage of comprehensive development. English teaching methods have also undergone changes. Following the reform of the Ministry of Education, we seize the opportunity to promote the further development of artificial intelligence in the field of education and provide convenience for college English teaching. The purpose of this article is to study the design of college English teaching platform based on artificial intelligence. This article introduces the development process of the intelligent teaching integrated service system in detail, and also details the system’s demand analysis, function design, and database design. This system can realize the comprehensive management of students’ grades and comprehensive intelligent services at the teacher level. The design of the integrated teaching service system of the platform is to serve many college students, provide teaching and management services, and provide college students with information and results and other information query services. Combining with the predecessors to establish a teaching platform for research, the various management systems they used, analyze the experience and shortcomings that these systems and the platform can learn from in actual teaching management services, and research and develop a set of intelligent teaching suitable for use by the unit Integrated service system. Experimental investigations and studies have shown that the most balanced function of each platform is the Max Intelligent Assistant, whose system averages about 33% in teaching, analysis, and correction. The analysis system of Yu Classroom accounts for the largest proportion of all platforms, as high as 40%. The teaching system is the best geek big data, with 40%. In general, learn from the above teaching platform design and improve it to provide learners with the most suitable teaching platform.