A Deep Learning–Based Educational Intelligence System for Lesson Plan Analysis and Teaching Strategy Enhancement

This paper presented a Deep Learning–Based Educational Intelligence System for lesson plan analysis and teaching strategy enhancement. The proposed framework integrates transformer-based NLP, Bloom’s Taxonomy classification, pre-dictive analytics, and recommendation generation into a uni-fied educational intelligence platform. The system enables educators to evaluate instructional quality, predict academic outcomes, and improve teaching methodologies using data-driven insights. Experimental analy-sis demonstrates the effectiveness of deep learning techniques in educational analytics and instructional planning. The proposed solution contributes toward intelligent edu-cational systems capable of enhancing teaching quality, sup-porting personalized learning, and improving overall student academic performance

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