Research on Personalized Education for Business Talents Based on Big Data Driven Student Portrait

Abstract

With the impact of technological changes such as artificial intelligence, big data, cloud computing and blockchain, the business environment has undergone disruptive restructuring and innovation. The digital economy has brought about changes in talent demand and supply, leading to changes in the knowledge system and quality capabilities of business talents in the new era. This trend of change places high demands on the personalized cultivation of new business talents. Based on the analysis of the Spark platform, this article proposes to establish a student ”portrait” feature library that can fully depict students’ personal characteristics through pre-processing, statistics, and analysis of raw data on campus student behavior, in order to analyze and predict students’ learning needs, recommend personalized learning plans for students, and ultimately achieve the goal of providing personalized business talents for the development of the new economy.