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

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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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2026-01-01
DOI
https://doi.org/10.1504/ijict.2026.152527
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
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article

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

Guixian Miao
International Journal of Information and Communication Technology
Technology-Enhanced Education Studies
article

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

Guixian Miao
article en

Abstract

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.

International Journal of Information and Communication TechnologyVol. 27(26)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Technology-Enhanced Education Studies
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An AI-driven dual neural network framework for enhancing and evaluating university teachers' informatisation teaching capacity under TPACK — Guixian Miao · International Journal of Information and Communication Technology (2026) | TGRS Research Map | TGRS