Author(s)

Hua Zhong

Corresponding Author

Hua Zhong

Abstract

This article focuses on how to realize individualized learning in the process of digital transformation of hotel vocational education. Through theoretical research methods, this article deeply analyzes big data analysis theory, hotel vocational education theory and individualized learning theory, and explores the integration path of big data analysis and individualized learning of hotel vocational education. Big data analysis has been applied in digital courses of hotel vocational education, but there are some problems such as narrow data collection range and limited analysis ability. Based on this, this article constructs a individualized learning model including learning data collection, analysis and processing, and individualized learning scheme generation. The model aims at meeting students' individualized learning needs and improving their professional ability, follows the principles of individuality, scientificity and dynamics, and provides students with accurate and exclusive learning support through closed-loop dynamic operation mechanism.

Keywords

Big data analysis; Hotel vocational education; Digital courses; Individualized learning; Learning model