Designing Artificial Intelligence-Based Materials Integrated into Learning Management System

Abstract

This study aims to design the mechanism for preparing teaching materials based on Artificial Intelligence (AI) integrated into the Learning Management System (LMS) that suits the needs of the Japanese Minori Education Center, construct a format of teaching materials that can accommodate AI features, and integrate an AI-based evaluation system to measure the final ability of the Minority Education Center's learning residents. This research applies the research and development method in the design phase of the FOUR D model. The research results show that the mechanism of designing AI-based teaching materials integrated into the LMS is content compilation, writing description, designing LMS, selecting LMS Features, and integrating AI. AI-based teaching material formats integrated into the LMS include documents, images, videos, PDF files, and JPEGs with automation systems. Integrating the evaluation system into AI-based teaching materials integrated LMS applied are quizzes, discussion forums, and assignments supported by AI smart content equipment, presentation translation, virtual mentors, turnitin, and automatic assessment. The design of AI-based teaching materials integrated with LMS is able to create rich learning resources, ease of access, and accurate assessments.