Internet System for Mathematics Reading and Fuzzy Clustering Analysis for Students

Autor: Jeng Ming Yih, Chia Hung Weng, Yuan Horng Lin
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. :1719-1722
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.635-637.1719
Popis: The purpose of this study is to investigate the performance of mathematics reading based on fuzzy clustering. Mathematics reading proficiency is an importance issue which is related to the reading comprehension, mathematics achievement and mathematics literacy. Theoretical foundation of mathematics reading consists of three components, which are general reading comprehension, prior knowledge of mathematics and specific skills of mathematics. The subject is sixth graders. The researchers develop internet system of mathematics assessment and adopt fuzzy clustering to appropriately classify students. Results show that three clusters are the best and there exist characteristics and differences among clusters. Based on the findings, some recommendations and suggestions for future research are provided.
Databáze: OpenAIRE