Study on Document Measurement and Visual Analysis of Big Data Education Evaluation

Abstract

Machine learning, recommendation algorithm and other new big data technology, has become an important tool for learning analysis education evaluation. Educational evaluation is an important means to evaluate the value of educational activities, and big data technology is becoming an important part of educational evaluation. It has become an urgent problem to sort out the status quo of big data education evaluation research and clarify the context of its research development. In this paper, we use bibliometrics to analyze the data of 391 articles indexed by Web of Science in recent ten years, and use Cite Space software to generate visual results. Through the analysis of the results, it is concluded that big data technology is of great significance for educational evaluation.