DocumentCode :
684751
Title :
Research of machine learning methods for student management performance evaluation
Author :
Xiaobo Huang ; Gang Zhang ; Qiang Pan ; Jianrong Huang ; Ying Huang
Author_Institution :
Sch. of Autom., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
1
Lastpage :
5
Abstract :
We constructed a student management evaluation framework oriented information system through Java Web technology, which performs in-depth analysis for recent evaluation framework and processing un-structured data and semi-structured data. Meanwhile, considering the complexity of information for student management and subjectivity of measurements, we propose an algorithm framework based on Artificial Neural Network (ANN) aiming at constructing an intelligent integrated model through data mining technology. Evaluation on a student management data set collected from a polytechnic school shows the effectiveness of the proposed algorithm framework.
Keywords :
Internet; Java; computational complexity; computer aided instruction; data mining; data structures; learning (artificial intelligence); neural nets; ANN; Java Web technology; artificial neural network; data mining technology; in-depth analysis; information complexity; intelligent integrated model; machine learning methods; polytechnic school; semistructured data; student management evaluation framework oriented information system; student management performance evaluation; unstructured data; artificial neural network; data mining; higher professional college; student management evaluation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
Type :
conf
DOI :
10.1049/cp.2012.2337
Filename :
6755716
Link To Document :
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