EduAI Mentor: Sistem Pembelajaran Adaptif Berbasis Artificial Intelligence untuk Pemerataan Kualitas Pendidikan
Keywords:
adaptive learning, artificial intelligence, education equity, digital innovationAbstract
Educational inequality remains a critical issue in Indonesia, particularly in remote areas with limited teachers and facilities. This study aims to introduce EduAI Mentor, an adaptive learning system based on Artificial Intelligence (AI) designed to provide personalized learning experiences while promoting equitable access to education. The research applied a qualitative-descriptive method through literature review, case studies of AI-based learning platforms. The research results show that EduAI Mentor is an AI-based adaptive learning system with ADDIE design that integrates machine learning, NLP, and gamification to personalize student learning; analyzes its potential application in Indonesian higher education to address disparities in access and support the Independent Curriculum and the Golden Indonesia 2045 vision; and identifies challenges such as digital infrastructure, data privacy, and cultural resistance, along with opportunities through government subsidies, teacher training, and university R&D.
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