[Retracted] Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory

Abstract

College English has almost always been a required course, and a college student’s level of English proficiency is one of the factors used to assess their learning capacity. The quality of students’ English learning is largely influenced by the level of English instruction provided in colleges. However, there are still a lot of issues with college English instruction today, the most glaring of which is that English instruction is being overly simplified, and that the methods, modes, and purposes of instruction are also very narrow. Due to this, it is challenging for most colleges and universities’ English teaching levels to satisfy the requirements of high-level education. The PSO-BP neural network model, which optimizes the BP neural network (BPNN), is used in this study to build a high-precision and diversified English teaching evaluation model in order to address the aforementioned issues. According to the experimental findings, the PSO-BPNN algorithm has a relative error of just 0.29 percent and an average accuracy rate of 97.02 percent. Overall performance is superior to that of the conventional BPNN algorithm, and it is the most adaptable in terms of creating various evaluation modes.

استخدام نظرية الذكاءات المتعددة لتعزيز مهارات القراءة لدى الطلاب السعوديين الدارسين للغة الإنجليزية كلغة أجنبية

“…Wilson (2018)adds that learners' varied intelligences should be manifested in their learning processes, outcomes, and thinking, rather than merely tests and examinations. According to Hailong (2022), there is a need to the MIT to establish a multi-assessment system for college English teaching and learning with the aim of offering an effective and workable solution to several issues in the language classroom.…”

An Innovative Model of English Teaching Based on Particle Swarm Algorithm Construction

“…By understanding these factors, teachers can tailor their lesson plans and teaching strategies to address specific learning objectives and ensure that each student receives personalized support [11]. Furthermore, optimization in English teaching involves the strategic selection and integration of instructional resources and materials [12]. This might include incorporating multimedia tools, educational software, authentic texts, and interactive activities that cater to diverse learning styles and enhance student engagement.…”

Retracted: Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”