The Construction of Intelligent English Teaching Model Based on Artificial Intelligence

Abstract

Abstract-In order to build a modernized tool platform that can help students improve their English learning efficiency according to their mastery of knowledge and personality, this paper develops an online intelligent English learning system that uses Java and artificial intelligence language Prolog as the software system. This system is a creative reflection of the thoughts of expert system in artificial intelligence. Established on the Struts Spring Hibernate lightweight JavaEE framework, the system modules are coupled with each other in a much lower degree, which is convenient to future function extension. Combined with the idea of expert system in artificial intelligence, the system developed appropriate learning strategies to help students double the learning effect with half the effort; Finally, the system takes into account the forgetting curve of memory, on which basis the knowledge that has been learned will be tested periodically, intending to spare students' efforts to do a sea of exercises and obtain better learning results. Keywords-Artificial intelligence, foreign language teaching, intelligent learning IntroductionFor a long time, the traditional way of teaching English has been widely criticized for various problems and deficiencies, and the crisis often means turning point. With the advancement of the integration of information technology and English curriculum, artificial intelligence also serves as a tool for the optimization of secondary school English teaching.[1] provides a new platform for the creation of an intelligent and personalized English teaching environment.In this paper, a teaching aid system is designed based on artificial intelligence and the forgetting law of human brains [2]. This system can review English vocabulary and knowledge points lest they are forgotten over time, so as to improve learning efficiency and provide targeted learning contents [3]. Through practical research, the system is proved with certain application value and referential meanings for the methods alike.

Trajectory optimisation design of robot based on artificial intelligence algorithm

“…The project teaching method can change the traditional teaching mode, not the teacher's lecture and the students' passive acceptance of knowledge. The project teaching method takes the project as the main line, takes the teacher as the dominant and the students as the main body, lets the students participate actively in the course study, deeply explores the charm of the curriculum, and fully mobilises it (Li, 2017). The initiative of students and the ability of all aspects of students can also improve the overall teaching quality.…”

Blended Teaching Design of College Students’ Mental Health Education Course Based on Artificial Intelligence Flipped Class

“…ere are N types of test questions for each knowledge item. When multiple knowledge points are examined, a set of simulated exercises will be formed using the unitized knowledge domain triple random automatic question-building algorithm [37]. After the student has tested a certain type of question multiple times, it will be recorded in the test result table.…”

Applied Research of Knowledge in the Field of Artificial Intelligence in the Intelligent Retrieval of Teaching Resources

“…Retrieval of Teaching Resources. With the continuous development of artificial intelligence technology, the types and quantity of teaching resource intelligence have grown rapidly, which has had a huge impact on traditional archival information resource retrieval [16]. e disadvantages of traditional retrieval methods are obvious, and retrieval efficiency has fallen far short of the requirements of archival work.…”