What question did this study set out to answer?

The aim is to enhance the information technology teaching capabilities of university teachers using an AI-driven model.

March 28, 2026Open Access

An AI-driven dual neural network framework for enhancing and evaluating university teachers' informatisation teaching capacity under TPACK

Puntos clave

The aim is to enhance the information technology teaching capabilities of university teachers using an AI-driven model.
Developed a dual neural network framework based on TPACK.
Assessed various dimensions of teaching capabilities before and after implementation.
Analyzed differences in improvements across teacher age groups.
PA dimension scored the highest at 3.95, while TPCA scored the lowest at 1.70.
Teachers aged 41-50 showed a significant improvement of 53.90%.
The proportion of teachers over 50 years old increased from 8.89% to 40.63%.

Resumen

In order to explore strategies for enhancing the information technology education capabilities of university teachers, this study proposal is an overall model based on the knowledge framework of technical teaching content, and improvements.Experimental results show that the PA dimension scored the highest (M = 3.95) and the TPCA dimension scored the lowest (M = 1.70), and other dimensions scored between 2.80 and 3.50.A comparison before and after the implementation of the promotion strategy revealed the most significant improvement among teachers aged 41 to 50, with an increase of 53.90%.The proportion of teachers over 50 years old also increased from 8.89% to 40.63%.The strategies proposed in this study have reference value for research on improving various aspects of teacher capabilities, can promote teacher development, and play a role in driving educational industry reform.

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