A teaching evaluation method for vocational education based on big data

A technology for vocational education and evaluation methods, applied in the field of vocational education and teaching evaluation based on big data, can solve the problems that cannot be dynamically adjusted, the evaluation of teaching quality cannot be visualized in real time, and the large-scale ability diagnosis method cannot be integrated and applied, so as to achieve dynamic adjustment. The effect of weights

Active Publication Date: 2022-02-01
GUIZHOU UNIV +1
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problems to be solved by the present invention are: 1. The existing education and teaching evaluation indicators are subjective, cannot be dynamically adjusted, and the weights are solidified; 2. Large-scale ability diagnosis methods in vocational education cannot be integrated and applied; 3. Real-time visualization cannot be performed in teaching quality evaluation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A teaching evaluation method for vocational education based on big data
  • A teaching evaluation method for vocational education based on big data
  • A teaching evaluation method for vocational education based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0113] The specific implementation steps of this embodiment are as follows:

[0114] S1: Construction of data-driven intelligent decision-making evaluation index system. First of all, in view of the current education quality evaluation, there are data scattered, fragmented, lack of integrity, and systematic problems. There is no real big education database. The technology of crawler, kafka, and sqoop is used to analyze smart terminals, PCs, APPs, smart campus platforms, Data extraction of structured, semi-structured, and unstructured multi-source educational big data generated by diagnosis and reform platforms and course learning platforms; in view of the lack of standardized and scientific educational big databases for current education and teaching quality evaluation, Hive technology is used to The data is cleaned; in view of the fact that the current teaching evaluation is generally not practical, especially the personal evaluation of students mainly depends on the subjecti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a vocational education teaching evaluation method based on big data, comprising the following steps: S1: building an intelligent decision-making evaluation index system; S2: establishing a vocational education teaching evaluation model; S3: visually displaying teaching quality evaluation data. The invention can realize objectification of education and teaching evaluation indicators, realize dynamic adjustment of weights, realize integration of large-scale ability diagnosis methods in vocational education, and realize real-time visualization in teaching quality evaluation.

Description

Background technique [0001] There are three major problems to be solved urgently in the construction of a scientific and effective education and teaching evaluation system in the prior art: [0002] ①Pay attention to the result evaluation, but ignore the process evaluation [0003] The evaluation of teaching quality in domestic colleges and universities involves little in the evaluation of the teaching process, and even ignores the evaluation of the process. The teaching quality evaluation only focuses on the result evaluation at the end of the semester, which leads to the problem that the evaluation results cannot be fed back to the course teaching of this semester in time, so that the teaching reform can be carried out in real time and the teaching quality can be improved in time. If the initiation time of teaching quality evaluation is adjusted and process evaluation is adopted, teachers can understand the problems existing in their teaching earlier and correct them in tim...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/20G06F16/215G06F16/23G06F16/27G06F16/28
CPCG06Q10/06393G06Q50/205G06F16/215G06F16/23G06F16/27G06F16/283
Inventor 邹赛龚冷西廖辉程艳霞苏科龚春燕陈甫肖蕾
Owner GUIZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products