Quality Evaluation Model of Education in Remote Learning and IoT Based on College Students’ Quality Cultivation

Abstract

The current model for evaluating ideological and political education is mostly based on a weighted evaluation of related educational parameters, like the structure of the school and the structure of the teachers. In this cycle, the impact of college students’ general development on the construction of their ideological and political education is not considered, which makes evaluations less exact by and large. To work on the exactness of the evaluation model, you ought to upgrade the construction of the evaluation model, with the quality of education for college students as the center advancement. Education quality evaluation calculation and model parameter output calculation are integrated. In terms of the quality of training for college students, simulation tests reveal that the proposed model has the lowest blunder esteem and the highest general evaluation precision. This makes it easier to decide what kind of ideological and political education is best.

Research on the construction of “Internet of Things + X” compound characteristic course cluster in vocational normal education

“…For instance, the curriculum resources involved in the new energy intelligent networked vehicle industry can be divided into several categories: automotive electronics, intelligent hardware, communication software, intelligent control and integration technology, etc. Each category corresponds to a specific application on the car, while the split items correspond to different knowledge of several courses, reflecting the composite nature of the resource [4]. The introduced resources can be divided into knowledge/skill level resources, course level resources and cluster level resources according to the hierarchical relationship.…”

Retracted: Quality Evaluation Model of Education in Remote Learning and IoT Based on College Students’ Quality Cultivation

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1].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:…”