Research on Adaptive Learning Recommendation Algorithm for Vocational Education under the Background of Artificial Intelligence

In adaptive learning, it is very important to collect, analyze and process the personalized recommendation of vocational education to meet the learning needs of learners at different stages. The NPL algorithm cannot accurately recommend adaptive learning problems in vocational education. Therefore, this paper proposes a recommendation algorithm for adaptive learning. Firstly, big data is used to recommend educational information, and indicators are divided according to adaptive learning requirements to reduce interference factors in adaptive learning. In the current rapidly changing vocational environment, vocational education plays a vital role. It not only provides students with the necessary skills and knowledge to adapt to the future job market, but also promotes the process of personal career development and lifelong learning