Jiangbo Shu

Title: Innovator Jiangbo Shu and His Contribution to Educational Big Data Analysis

Introduction

Jiangbo Shu, an inventive mind based in Hubei, China, has made significant strides in the realm of educational technology. He holds one patent that showcases his innovative approach to analyzing educational big data, presenting a novel method that leverages mapping techniques for enhanced data interpretation.

Latest Patents

Jiangbo's patent, titled "Method and system for analyzing educational big data on basis of maps," focuses on effectively utilizing educational resource data. This method involves acquiring and storing educational data within structured databases, while constructing thematic map layers to facilitate data analysis. By indexing and classifying this data according to specific analysis themes, Jiangbo's method allows for the creation of data maps that superimpose thematic analyses onto base maps.

This innovative approach leads to insightful analysis results, helping to extract and fuse data from various theme map layers within targeted regions. Additionally, it assesses user learning preferences by correlating them with user requests, thereby delivering tailored educational insights.

Career Highlights

Jiangbo Shu is affiliated with Central China Normal University, where he collaborates with fellow researchers and contributes to the advancement of educational methodologies through technology. His involvement empowers the university's ongoing initiatives aimed at improving educational systems through data-driven insights.

Collaborations

Throughout his career, Jiangbo has worked closely with colleagues such as Zongkai Yang and Sannyuya Liu. This strong network of collaboration fosters a rich environment for innovative ideas and solutions that address the challenges present in the educational sector.

Conclusion

Jiangbo Shu stands out as an inventor with a commitment to enhancing the analysis of educational big data. Through his patent, he has paved the way for more effective educational tools that rely on mapping techniques to yield valuable insights. As educational institutions increasingly turn toward data analytics, Jiangbo's contributions will undoubtedly play a vital role in shaping future methodologies.