Ai-Driven Personalization of Power System Learning Modules Using Student Personas based on Behavioral Analysis of Grid Performance

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Learning adaptability improved significantly for students using AI-generated personalized content compared to generic materials.
Regression analysis showed strong predictive value of persona type and interaction with personalized content (p < .01).
The mixed methods quasi-experimental design involved clustering students by cognitive style and motivation.
This research highlights the value of integrating behavioral statistics with AI tools for effective educational outcomes.

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Quasi-experimental research demonstrates enhanced learning adaptability using personalized AI content for students.

Chandrani Mukherjee (2025) studied this question.

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