AI is breaking down traditional academic silos by facilitating interdisciplinary learning. It can bridge knowledge gaps, allowing students and researchers to access vast amounts of information across fields, accelerating innovation and expanding cross-disciplinary insights.
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AI for Learning Behavior Analysis: AI algorithms analyze students’ learning behaviors, providing teachers with insights into each student's strengths and weaknesses. This allows for personalized learning recommendations and targeted interventions.
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Developing interpretable machine learning models remains challenging due to model complexity and trade-offs between accuracy and transparency. Techniques like SHAP, LIME, and attentio
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