Deep Learning in Indonesian Language Learning Transforming Educational Paradigms Through Artificial Intelligence
Keywords:
deep learning, Indonesian language learning, natural language processing, educational technologyAbstract
The integration of deep learning technologies in Indonesian language learning represents a significant paradigm shift in educational methodologies. This article explores the multifaceted applications of deep learning algorithms, including neural networks, natural language processing, and adaptive learning systems, in enhancing the acquisition and mastery of Bahasa Indonesia. Deep learning offers unprecedented opportunities for personalized instruction, automated assessment, and intelligent content generation tailored to individual learner needs. The discussion encompasses three primary dimensions: the technological foundations of deep learning in language education, practical applications in Indonesian language pedagogy, and the challenges and future prospects of implementation. By examining current developments and theoretical frameworks, this article demonstrates how deep learning technologies can address traditional limitations in language instruction while fostering more engaging, efficient, and accessible learning experiences. The synthesis of artificial intelligence with pedagogical principles offers transformative potential for both native speakers seeking language refinement and foreign learners pursuing Indonesian language proficiency.
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