Personalized Learning Mode Research Based on Intelligent Technology in Adult Education and Occupational Training

Abstract

Today, when people are smarter than ever, they learn in a lot of different ways. There are a lot of people who choose to learn on the internet. Even if there are more great training materials available, students may still have issues, such as having too much knowledge. A multi-algorithm shared, changeable learning route suggestion model is suggested as a way to fix this issue and help students who use online learning tools. The learner model is built around four points of view: the student's thought level, their ability to learn, their preferred learning style, and their energy for learning. The second step is to use the association rule method to plan how trainees will learn each piece of information and make a list of them.