Article: An AI-driven dual neural network framework for enhancing and evaluating university teachers' informatisation teaching capacity under TPACK Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.26 pp.1 - 21 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. Inderscience Publishers - linking academia, business and industry through research

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

Authors: Guixian Miao

Addresses: School of Marxism, Zhengzhou Railway Vocational & Technical College, Zhengzhou, 451460, China

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.

Keywords: TPACK; informatisation; education capacity; APNN; DDAE-SVR; BPNN.

DOI: 10.1504/IJICT.2026.152527

International Journal of Information and Communication Technology, 2026 Vol.27 No.26, pp.1 - 21

Received: 08 Aug 2025
Accepted: 02 Dec 2025
Published online: 25 Mar 2026 *

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

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