<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper constructs a gray clustering assessment model, combines the indicators of information technology literacy, technology-supported learning, and information technology teaching ability to evaluate the information technology teaching ability of A college teachers, and explores the use of information technology equipment of college teachers. And through the construction and calculation of the whitening weight function to refine the classification of college teachers’ informatization teaching ability, for different categories of teachers’ informatization application presenting different characteristics, using one-way ANOVA and adding the Scheffe (C) test to test the inter-group variability of different categories, in-depth exploration of the influencing factors of teachers’ informatization teaching in different categories. The results show that the overall water mean of teachers’ informatization teaching ability in school A is 3.88±0.59, and the model divides teachers’ informatization teaching level in college A into three categories: 3.8-4.5, 3-3.8, and 1-3, with the proportion of each category being 27.8%, 40.1%, and 32.1%, respectively. This study focuses on analyzing the relevant factors affecting teachers’ informatization teaching ability and puts forward countermeasure suggestions according to local conditions, which is of great significance to deepen the reform of education and teaching.</p>
</abstract>

This paper constructs a gray clustering assessment model, combines the indicators of information technology literacy, technology-supported learning, and information technology teaching ability to evaluate the information technology teaching ability of A college teachers, and explores the use of information technology equipment of college teachers. And through the construction and calculation of the whitening weight function to refine the classification of college teachers’ informatization teaching ability, for different categories of teachers’ informatization application presenting different characteristics, using one-way ANOVA and adding the Scheffe (C) test to test the inter-group variability of different categories, in-depth exploration of the influencing factors of teachers’ informatization teaching in different categories. The results show that the overall water mean of teachers’ informatization teaching ability in school A is 3.88±0.59, and the model divides teachers’ informatization teaching level in college A into three categories: 3.8-4.5, 3-3.8, and 1-3, with the proportion of each category being 27.8%, 40.1%, and 32.1%, respectively. This study focuses on analyzing the relevant factors affecting teachers’ informatization teaching ability and puts forward countermeasure suggestions according to local conditions, which is of great significance to deepen the reform of education and teaching.

Research on the Mechanism of Enhancing Informatization Teaching Ability of College Teachers Based on Gray Clustering Evaluation Model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper constructs a gray clustering assessment model, combines the indicators of information technology literacy, technology-supported learning, and...

Research on the Mechanism of Enhancing Informatization Teaching Ability of College Teachers Based on Gray Clustering Evaluation Model

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 15. Dez. 2023

Akzeptiert: 22. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0131

Schlüsselwörter
Gray clustering assessment, Whitening weight function, One-way ANOVA, Scheffe (C) test, Informatization teaching

© 2024 Tao Wan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Mechanism of Enhancing Informatization Teaching Ability of College Teachers Based on Gray Clustering Evaluation Model

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 15. Dez. 2023

Akzeptiert: 22. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0131

SchlüsselwörterGray clustering assessment, Whitening weight function, One-way ANOVA, Scheffe (C) test, Informatization teaching

© 2024 Tao Wan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Gray clustering assessment, Whitening weight function, One-way ANOVA, Scheffe (C) test, Informatization teaching