Author(s)

Yongjian Liao, Yingying Tian

Corresponding Author

Yongjian Liao

ABSTRACT

This article discusses the role, challenges and countermeasures of educational big data in driving the construction and practice of individualized learning mode. The introduction part expounds the background of the era of education big data and the significance of individualized learning as an important direction of education reform. Then, by systematically analyzing the concept and characteristics of educational big data and its internal relationship with individualized learning, the article clarifies the purpose and necessity of the research. In terms of methods, the article deeply analyzes the design of individualized learning mode driven by educational big data. It includes learner portrait and demand analysis, the development and integration of individualized learning resources, the design and implementation of adaptive learning paths and other key links. Futhermore, the specific application and effect of educational big data in individualized learning are discussed. Research shows that educational big data provides strong data support and technical support for individualized learning, which can significantly improve the pertinence and effectiveness of learning. Futhermore, it also faces challenges such as technical bottleneck, privacy protection and uneven resource allocation. In order to meet these challenges, this article puts forward some countermeasures, such as strengthening technology research and development, improving privacy protection mechanism and promoting balanced distribution of resources.

KEYWORDS

Education big data; Individualized learning; Portrait of learners; Adaptive learning path; Secret protection