Improving the Quality of Vocational Education in Higher Vocational Colleges Based on Deep Learning Technology: Student Learning Prediction and Personalized Recommendation

• Published in: Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 29; no. 2; pp. 407 - 416
• Main Author: Tao, Lingyun
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Ltd 20.03.2025; 富士技術出版株式会社; Fuji Technology Press Co. Ltd
• Subjects: Algorithms; Attention; Colleges & universities; Customization; Decision trees; Deep learning; Education; educational quality; Effectiveness; learning initiative prediction; Machine learning; neural network; personalized recommendation; Recommender systems; Student behavior; Support vector machines

To address the need for enhanced educational quality and effective student management, this study introduces a novel model for predicting student engagement and delivering personalized recommendations by integrating a GRU-Attention network with an L-DMF recommendation algorithm. Our approach employs...