Abstract: This paper presents an AI-driven framework for personalized learning and remedial recommendation grounded in knowledge concept-centric evaluation. The proposed framework comprises four key ...
Abstract: Learning from data streams originating from non-stationary environments is vital for many real-world applications. A notable challenge in this task is concept drift. Most existing methods ...
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