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Pengembangan Sistem E-Learning Bahasa Jepang Berbasis Adaptive Learning dengan Dukungan Artificial Intelligence

Year: 2025

Type: article

Abstract: Advances in information technology have enabled the creation of more effective and personalized learning systems. This research aims to design and implement an adaptive e-learning system for Japanese language learning supported by Artificial Intelligence (AI). This system adjusts the material, difficulty level, and delivery method according to the user's abilities and learning progress. The AI techniques used include machine learning to analyze student performance, natural language processing (NLP) to transmit Japanese text and conversations, and a recommendation system to provide appropriate materials. The research results are expected to improve the effectiveness of Japanese language learning for beginners to intermediate levels.

Source: Jurnal Riset Multidisiplin Edukasi

DOI: 10.71282/jurmie.v2i8.849

Authors: Rifky Akbar Vetian, Anis Lelitasari, Jihan Salsa Biela Fatin, Dina Dwi Astartia

Institution: Universitas Putera Batam

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4413374625

FWCI: 0.427

Cites:

Cited by: 1

Related to: 10