By 2025, the demand for customized eLearning will surge, spurred by AI and ML advancements, catering to learners' evolving expectations for interactivity and flexibility.
AI and ML can analyze learner data to identify patterns and suggest personalized content. This allows for tailored educational experiences, enhancing learner engagement and effectiveness.
The expansion of AI and ML in eLearning will enable educational platforms to predict learner difficulties, leading to preemptive adjustments and more personalized learning pathways.
The shift from traditional education models to AI-driven personalized learning environments represents a profound transformation, creating dynamic educational experiences tailored to individual needs.
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