Adaptive learning web application to improve CAD learning in Engineering

Abstract

Adaptive Learning using AI is crucial for improving students' comprehension of computer-aided design (CAD) subjects in engineering and adapts to adaptive learning styles by providing personalized content in a dynamic learning environment using advanced algorithms and data analytics. This system improves students’ performance and satisfaction in learning CAD systems. Its components include hierarchically organized content, author dashboards, progress tracking, and gamified exercises that adapt to users in real-time. It employs visual and text representations to express content to help learners create three-dimensional models effectively. The system addresses educational challenges by providing content that is individualized to each student's abilities. The article suggests that the AI-based web review system with a gamified web environment helps students master the skills needed to understand and use CAD systems, resulting in higher grades on graphical expression and improved student satisfaction measured using an SEQ survey.