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The Practical Logic of Digital Empowerment for the Adaptability of Vocational Education
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作者 Chen Qi Surina 《Education and Teaching Research》 2024年第4期55-58,共4页
This paper elucidates the meaning of digital“empowerment”for the adaptability of vocational education and explores the practical logic behind it.This includes four aspects:a high degree of alignment at the national ... This paper elucidates the meaning of digital“empowerment”for the adaptability of vocational education and explores the practical logic behind it.This includes four aspects:a high degree of alignment at the national policy level,deep integration between vocational education and industrial development,effective alignment between market demand orientation and talent cultivation directions,and the interactive integration of educational informatization and modernization. 展开更多
关键词 DIGITALIZATION Vocational education adaptability of Vocational education
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Deep Learning-Based Modeling Methods in Personalized Education
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作者 Qiang SUN 《Artificial Intelligence Education Studies》 2025年第1期15-30,共16页
Deep learning has significantly transformed personalized education by enabling intelligent adaptation to indi-vidual learning needs.This study explores deep learning-based modeling methods that enhance personalized le... Deep learning has significantly transformed personalized education by enabling intelligent adaptation to indi-vidual learning needs.This study explores deep learning-based modeling methods that enhance personalized learning experiences,optimize instructional content,and predict student progress.We examine key techniques,including recurrent neural networks(RNNs),transformers,reinforcement learning,and multimodal learning analytics,to demonstrate their roles in personalized learning path recommendations and adaptive content gen-eration.Case studies of AI-driven tutoring systems and learning management platforms illustrate real-world applications.Additionally,we address challenges related to data privacy,algorithmic bias,and model inter-pretability.The paper concludes with future directions for deep learning in education,emphasizing its potential for enhancing immersive and intelligent learning environments. 展开更多
关键词 Deep Learning Personalized Learning Adaptive education Learning Analytics Artificial Intelligence
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