Evaluation of the Information-based Teaching Design Abilities of Educators in Blended Teaching

Ya Wang

doi:10.3991/ijet.v17i05.29849

Abstract

Information-based teaching is a process where the information technologies are actively integrated with the curriculum system, teaching objectives and teaching content. In order to improve the information-based teaching design abilities of teachers, it is of practical significance to study the criteria and methods for evaluating their information-based teaching design abilities under the online and offline blended teaching model. Based on the visualized measurement results of the keyword co-occurrence network, this paper constructed an evaluation indicator system for the information-based teaching design abilities of teachers under the online and offline blended teaching model, and gave the detailed steps of fuzzy comprehensive evaluation. In order to identify the improvements in the information-based teaching design abilities of teachers, it established a neural network prediction model for the information-based teaching design ability set of teachers based on the given evaluation indicator sample time series. At last, the scientificity of the proposed evaluation indicator system was verified through a test, with the prediction results of the model given.

Highlights

With the arrival of the information age, modern information technologies have seen unprecedented development, and its deep integration with teaching has prompted the update of education models and the extended application of educational informatization [1-7]
The whole paper is organized as follows: Section 2 constructs the evaluation indicator system for the information-based teaching design abilities of teachers under the online and offline blended teaching model by reference to the visualized measurement results of the keyword co-occurrence network, and gave the detailed steps of fuzzy comprehensive evaluation; in order to identify the improvements in the information-based teaching design abilities of teachers, Section 3 constructs a neural network prediction model for the iJET ‒ Vol 17, No 05, 2022
In order to identify the improvements in the information-based teaching design abilities of teachers, this paper first briefly introduced the feedforward neural network used, and constructed a neural network prediction model for the information-based teaching design ability set of teachers based on the given evaluation indicator sample time series

Summary

Introduction

With the arrival of the information age, modern information technologies have seen unprecedented development, and its deep integration with teaching has prompted the update of education models and the extended application of educational informatization [1-7]. This paper constructed an evaluation indicator system for the information-based teaching design abilities of teachers under the online and offline blended teaching model. The whole paper is organized as follows: Section 2 constructs the evaluation indicator system for the information-based teaching design abilities of teachers under the online and offline blended teaching model by reference to the visualized measurement results of the keyword co-occurrence network, and gave the detailed steps of fuzzy comprehensive evaluation; in order to identify the improvements in the information-based teaching design abilities of teachers, Section 3 constructs a neural network prediction model for the iJET ‒ Vol 17, No 05, 2022. After the indicators are selected, the eigenvalues and eigenvectors of the judgment matrix are calculated based on the principles of scientificity and measurability, and the weights of the evaluation indicators for information-based teaching design abilities of teachers are further determined. Are the detailed steps to perform fuzzy comprehensive evaluation on the information-based teaching design abilities of teachers under the online and offline blended teaching model. According to the formula Di=Ri·M, the comprehensive scores of evaluation indicators at all levels can be obtained

Prediction of the information-based teaching design abilities of teachers

Simulation and test results

Conclusions

Author