Quality Evaluation System of English Innovative Teaching Based on Hybrid Optimization Algorithm

Abstract

Promoting the overall level of Chinese national English can promote the development of my country's social economy, and the key to improving English level lies in students. To improve English level, it is necessary to innovate English teaching methods. This paper designs an English innovative teaching quality evaluation system, and its research will help to deeply understand the problems existing in English innovative teaching, prompting teaching decision-makers to adjust English teaching strategies, thereby improving the efficiency of English teaching and creating a good environment for English teaching evaluation, improve the quality and efficiency of teaching evaluation, and then improve the quality of English teaching as a whole. This paper implements the system's user login function and evaluation result statistics function after testing the system, and compares the scoring results of the ant colony algorithm, genetic algorithm, and their hybrid optimization algorithms on the four dimensions of teaching quality, and obtains the hybrid optimization. The algorithm's score calculation accuracy is higher.

Research on Data Mining Technology and its application in College English Teaching

“…Among them, the experimental group chose the diversified evaluation system with data mining technology as the core, while the control group still continued the traditional education evaluation system, which proves that the reasonable use of data mining technology to build a diversified evaluation system has a positive effect on improving students' English scores. [12][13][14][15] Table 1 Second, learning strategies. During the experiment, the teacher set a number of questions starting from the students' English learning strategies, and asked the students to fill in the questionnaire according to the questions and their own situation, in which "1" to "5" respectively represented whether the actual situation met the requirements, 1 was completely inconsistent, 5 was very consistent.…”

Monitoring and Quality Evaluation Method of English Teaching in Machine Manufacturing Based on Machine Learning and Internet of Things

“…As a reflection standard of teaching effectiveness, teaching monitoring and quality evaluation methods have been gradually promoted in recent years with the development of big data, and many scholars have begun to apply this evaluation system to teaching in various disciplines for relevant research. However, there needs to be more literature that combines teaching monitoring and quality evaluation methods with the mechanical engineering profession, not to mention the addition of machine learning and the Internet of Things [16][17][18]. The literature review mainly revolves around the following parts: first, regarding the research related to teaching monitoring and quality evaluation methods, domestic and foreign literature mainly adopts a combined approach to explore and analyze teaching monitoring and quality evaluation, collecting data through questionnaires and using the current mainstream teaching monitoring and quality evaluation criteria [19][20][21].…”