Modelling the predictors of digital literacy and their complex interplay in ChatGPT-assisted informal digital learning of english through psychological network analysis

Key Points

• Digital literacy is influenced by various predictors that interact in complex ways.
• Significant predictors may include motivation and prior experience; relationships are intricate.
• Psychological network analysis was used to model these predictors and their interactions.
• Highlights the need for deeper understanding of predictors in digital education settings.