Design of a Classroom Big Data Analysis System Based on Open Source Technology

Based on open-source technology, this paper has designed and implemented the technical solution for a classroom Big Data analysis system and explored the integrated application of this system in the field of education Big Data. Facing the growing demand for education Big Data management, this paper takes classroom Big Data analysis as the service object, using Python+Flask framework as the technical basis, comprehensively applying both API (Application Programming Interface) integration and source code integration, and implementing the technical solution of integrating open interfaces and open-source systems, such as Tencent Text Extraction, LTP (Language Technology Platform) Text Analysis, Superset Analysis and Visualization, and Whoosh Retrieval System, into the classroom Big Data analysis system. It realizes the complete data management function of classroom Big Data from collection, annotation, analysis, visualization to retrieval, providing a technical solution for the analysis and visualization of educational Big Data that can be quickly integrated and applied. This design is very effective in analyzing Big Data in the classroom, which can effectively improve the ability to analyze data and help educators better understand the effectiveness of classroom teaching and learning. This study provides a new idea for the Big Data technology framework in the field of education and gives a useful reference for the design of technical solutions for the in-depth development of educational data analysis.