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

Key Points

• This research aims to enhance and evaluate university teachers' informatisation teaching capacity using an AI framework.
• Developed a dual neural network framework leveraging AI techniques.
• Applied TPACK (Technological Pedagogical Content Knowledge) model to assess teaching capacity.
• Evaluated the framework's effectiveness on university educators.
• Demonstrated improved teaching capacity among university educators using the AI framework.
• Revealed positive correlations between AI interventions and teachers' informatisation skills.

Abstract