AI DRIVEN DIGITAL BRAND COMMUNICATION FOR PARENTAL ENGAGEMENT IN STEM EDUCATION


Authors

(1) * Mega Berlian Batee   (Universitas Esa Unggul)  
        Indonesia
(2)  Gerry Firmansyah   (Universitas Esa Unggul)
(*) Corresponding Author

Abstract


This study proposes an AI-based conceptual framework to evaluate digital communication and parental trust in children’s STEM learning centers. As educational institutions increasingly rely on online communication, many early-stage learning centers lack structured approaches to assess how parents respond to digital messaging across diverse contexts. Using a conceptual literature review approach, this study synthesizes prior research on digital branding, parental engagement, and artificial intelligence in educational communication. The proposed framework positions AI-driven tools, such as sentiment analysis and media monitoring systems, as strategic mechanisms for interpreting parental responses and improving communication effectiveness. This study contributes by integrating AI perspectives into digital branding research and offers practical guidance for learning centers seeking to strengthen parent–institution relationships through data-informed communication strategies.



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