Analysis of Key Indicators in English Teaching Evaluation Based on Big Data Model

Abstract

With the advent of the era of big data, the traditional English teaching methods in the past can no longer accurately assess the comprehensive level of English teachers and classrooms because of various factors. In order to reexamine and plan English teaching content, based on the big data model, we will carefully analyze the key indicators in English teaching evaluation using computer technologies such as particle swarm optimization and support vector machine, hoping to dig out the characteristics of English education in a deeper way, so as to make a series of index adjustments to English classroom and improve English teaching level. The results of this study show the following: (1) The average accuracy of the evaluation index of the model designed in this study is as high as 96.56%; after 20 tests, the test time of this model method is the least, and the test time can be as low as 13.32 ms. (2) For eight first-class indexes of A, B, C, D, E, F, G, and H and 29 second-class indexes, the expert scores are all greater than 3.66, and the standard deviation is all less than 1, which accords with the standard of reaching common opinions. The key index test system is reasonable. (3) We find that the weights of A2, D1, H1, and H2 are all higher than 0.5, the weights of A1, B3, C5, E5, F4, and G4 are all higher than 0.3, and the weights of other indexes are all less than 0.3. This shows that each index has a different weight and emphasis on English teaching evaluation. (4) Taking a certain teacher as an example to assess English proficiency can effectively analyze the key indicators of English teachers and enable the teacher to make corresponding improvements and formulate strategies. On the whole, the teacher has strong writing ability and listening ability; the ability of speaking and translating is slightly weak, both of which are about 0.8; for listening analysis, idiom and sentence ability are generally to be enhanced, about 0.8. (5) The comprehensive scoring of English teaching is carried out, large difference in scoring values is avoided, and fairer test results are given. It is found that after big data analysis, the key indicators of English are analyzed accurately, the classroom teaching is diversified, and the students’ final classroom evaluation reflects well, so this method has obvious advantages.

Education on quality assurance and assessment in teaching quality of high school instructors

“…The objective of educational quality assessment [1][2][3][4] is to advance schooling change, further develop administration quality, diminish understudy trouble [5][6][7], foster understudies' intelligence [8], and help understudies assess and take care of issues. We should accomplish the solidarity of philosophy while assessing the quality of teaching, and we should do as such in a goal, fair, and level-headed way, instead of abstractly speculating or blending individual sentiments [9,10].…”

“…In any case, certain issues stay during the time spent creating, using, and assessing the teaching quality appraisal framework's assessment results [3,4], for example, assessment hypothesis research [11], assessment strategy use, assessment technique update, and assessment data analysis. These issues straightforwardly affect educational organizations.…”

“…Artificial intelligence innovation is situation off floods of uses in different enterprises [4]. Particularly in the domain of schooling, advances, for example, artificial intelligence instruction stages are turning out to be progressively full grown.…”

“…Yaqoob accepts that the mixed studying method has an extremely rich implication. The expansive inclusion incorporates four focuses: one is to take on an assortment of schmoozed advances to accomplish instructive objectives; the second is to combine educator direction preparing and present day being taught innovation; the third is utilize current being taught procedures to finish being taught undertakings; Fourth, genuinely take advantage of different being taught strategies and embrace progressed being taught methods to at long last accomplish the best studying impact [4,20,21].…”

“…The evaluation of educating manner in colleges is a fluffy and complicated heterogenous inquiry, which is primarily appeared in a wide scope of appraisal substance and an enormous number of markers. Scientists utilize dim social analysis, logical ordered progression process, and fluffy all-round appraisal to evaluate education quality [4][5][6]. Albeit different evaluation meters are completely thought of, it is hard to dispose of partisanship and irregularity, which has specific limits on nonlinear educational quality appraisal.…”