The Study of Score Analysis for Secondary School Based on Data Mining Technology
Nowadays, the contents associated with deep score analysis is rarely involved in the existing secondary teaching management software, which is not conductive to fully develop the information implied by these data,without scientific teaching evaluation. Using data mining technology, multiple aspects of student score distribution will be shown accurately, identifying the regular factors affecting score changes. Standard score as the mathematical model is adopted in the system, choosing the standard SOA architecture model, and a scientific and efficient score analysis system based on JAVA, JSP is developed. The system provides decision support information for academic departments to promote better teaching work, and finally improve the quality of teaching.
Helen Zhang, Gang Shen and David Jin
S. F. Hao et al., "The Study of Score Analysis for Secondary School Based on Data Mining Technology", Advanced Materials Research, Vols. 219-220, pp. 396-399, 2011