EDMiner (Education Data Miner)

نویسندگان

  • Rozita Jamili Oskouei
  • Satyendra Sharma
  • Mohsen Askari
  • Phani Rajendra Prasad Sajja
چکیده

This paper attempts to develop a tool for exploring the Internet behavioral patterns of students from gender and cultural groups and mining those behaviors’ relationships with users’ academic performance. Modeling these behaviors may be helpful for different stockholders in formulating academic policies and guidelines. EDMINER (Educational Data Miner) is a Web based educational data mining which provides functionalities to understand usage patterns with respect to the category of visited Websites, and various usage statistics and detecting outliers between users based on their academic performance and Internet usage behaviors. Our experimental results show EDMINER has capability to detect academically at risk students before examination during semester and inform to professors for taking appropriate decisions.

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تاریخ انتشار 2002