Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments

Table 3 Personalization parameters and AI-driven adjustments

Personalization parameter	Description	AI-driven adjustment
Learning style	Visual, auditory, kinesthetic preferences	Generates content tailored to the student’s style
Performance level	Quiz and assignment scores	Adjusts difficulty level of future tasks
Engagement metrics	Time spent on tasks, interaction rates	Modifies length and complexity of materials
Feedback	Responses to surveys	Tailors instructional style and content