Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm

Conventional online education effect evaluation methods in higher vocational education mainly use the random subjective evaluation framework to obtain evaluation factors, which is vulnerable to the impact of micro personalized differences, resulting in low comprehensive evaluation indicators of education effect. Therefore, a new online education effect evaluation method in higher vocational education needs to be designed based on data mining algorithms. That is to say, the online education effect evaluation system is determined, the online education effect evaluation model of higher vocational education is constructed based on the data mining algorithm. The case analysis results show that the designed evaluation method for online education effect of higher vocational education has good evaluation effect, high comprehensive evaluation index, reliability and certain application value, and has made certain contributions to the follow-up optimization and reform of online education of higher vocational education.