The Factors Affecting Academic Achievement for the 5th and 6th Grade Elementary School Students by Hybrid Data Mining Approach

• Main Authors: Shu-Chao Wang, 王淑昭
• Other Authors: Yeou–Ren Shiue
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/75460218666045377079

碩士 === 華梵大學 === 資訊管理學系碩士班 === 96 === A total number of 485 5th and 6th grade students of effective samples were all from an elementary school in Taipei country during 2004 to 2006. To resolve student academic achievement problem, this study develops a hybrid Genetic Algorithm/Decision Tree (i.e., GA/DT) approach. Then, the proposed GA/DT approach compares with DT, factors analysis combining DT, and correlation combining DT. The study results indicated that the key attributes of 5th and 6th grade elementary school students academic achievement include mother’s age, father’s academic history, parenting methods, gender, family’s atmosphere, relations of parents, living environment, rank of family, members of family, live with someone, preschool education, inhabit the situation, stature and so on. Among them, mother's age is the most important attribute for the 5th and 6th grade elementary school students in academic achievement. A student’s academic achievement is excellent, if his mother's age over 36 and his father's academic credentials is for the above university. A student’s academic achievement is poor, if his mother's age over 41, his father's academic credentials are high schools or vocational school and his father of parenting style for the others. The prediction system has higher accuracy by hybrid GA/DT algorithm and the average accuracy amount to 69.4%, better than DT 61.2%, factor analysis combining DT 59.1% and correlation combining DT 54.5%.