The development of artificial intelligence (AI) in education presents both opportunities and challenges for early childhood learning, particularly in maintaining a balance between the use of technology and the development of religious character. This study aims to analyze the implementation of deep learning in fostering religious character among young children and to identify the role of AI in supporting the learning process in Early Childhood Education (ECE). This study employs a literature review method with a descriptive approach through the stages of searching, selecting, reviewing, and analyzing relevant scientific literature on deep learning, artificial intelligence, early childhood education, and religious character. Data validity was ensured through source triangulation by comparing information and findings from various scientific sources to obtain a more comprehensive synthesis. The findings indicate that the implementation of deep learning through the principles of mindful, meaningful, and joyful learning can support the development of children’s religious character through meaningful learning experiences, reflective activities, social interactions, positive behavioral habituation, and teacher role modeling. AI can serve as a supporting technology by providing interactive learning media, digital storytelling, assessment, and personalized learning according to children’s needs. However, AI does not replace the role of teachers as the primary educators and role models in the process of internalizing religious values. Based on the synthesis, this study develops a conceptual model integrating AI, deep learning, and religious character development in early childhood as an adaptive and meaningful learning approach that remains oriented toward human values.
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