Increased engagement: Personalization can increase student engagement by making the material more relevant and interesting to the student.
Improved retention: Personalization can improve retention by allowing students to learn at their own pace and in a manner that is best suited to their learning style.
Adaptive learning: Personalization can be used to create adaptive learning experiences, which adjust the material and assessments based on the student's performance.
Self-directed learning: Personalization can promote self-directed learning by giving students more control over their learning experience.
Customized learning paths: Personalization can be used to create customized learning paths, which can be tailored to the student's career goals.
Differentiation: Personalization can be used to differentiate instruction, which can be beneficial for students with different learning styles, abilities, or backgrounds.
Data analytics: Personalization can be supported by data analytics, which can be used to track student progress and adjust instruction accordingly.
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