Digital Narratives And Machine Learning For Personalized Learning Recommendations In Transnational Educational Contexts
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Digital Narratives, Machine Learning, Multimodal Learning Analytics, Personalized Learning, Ttransnational Education
Abstract
This study proposes a machine learning-based personalized learning recommendation system that integrates students’ academic performance and digital narratives in transnational educational contexts. Existing educational recommendation systems commonly rely on structured academic indicators such as exam scores, attendance, and participation records. However, such indicators are often insufficient to capture students’ learning experiences, cultural backgrounds, and contextual needs, especially in cross-border and culturally diverse learning environments. To address this limitation, this study introduces digital narratives, including reflective writing, discussion forum contributions, and written learning feedback, as complementary data sources for recommendation generation.
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Copyright (c) 2026 rachmat rasyid, Syamsul Bhahri , Hamria Hamria
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