The Implementation of Deep Learning Methods in Education to Support Personalized Learning

Rosalina Rosalina, Tjong Wan Sen

Abstract


A teacher's position will always exist in education, but due to artificial intelligence (AI) technology, that role and what it entails may alter. Because AI solutions in the field of education are still evolving, it is envisaged that AI will help cover the gap in needs in learning and teaching, allowing teachers to assist students wherever they wish to study, 24 hours a day, 7 days a week. One student is assigned to at least one teacher who truly understands the character, strengths, and weaknesses of the student in question, allowing him to deliver the finest therapy possible in the shortest amount of time and with the least amount of money. The goal of this research is to develop artificial intelligence that can become a learning partner for students (computers as teachers or digital teachers) in a practice-based learning system by implementing a fully connected neural network with group reduction, the results of this research yield 98 percent accuracy.

Keywords


digital teacher, AI, education, deep learning

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References


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DOI: http://dx.doi.org/10.33021/icsecc.v1i1.4166

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