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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/9027

Title: Student performance analysis using artificial intelligent method
Authors: K., Kadirgama
M. M., Noor
M. S. M., Sani
M. M., Rahman
M. R. M., Rejab
M. Y., Taib
Abdullah, Ibrahim
Rosli, A. Bakar
Keywords: Thermodynamics I;Statistical;Genetic algorithms;Radial Basis Function Network (RBFN);Students -- Performance;Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Issue Date: 20-Jun-2009
Publisher: Universiti Malaysia Pahang (UMP)
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009
Abstract: Measuring of academic performance of students is challenging since student performance is product of socio-economic, psychological and environmental factors. This paper discussed the neural network method were used to measure student performance in Thermodynamic at Faculty of Mechanical Engineering, University Malaysia Pahang (UMP). Randomly 70 mechanical engineering students were picked to analysis their performance in these subjects with 5 variables which are Test1, Test 2, Final Examination, assignment and Quizzes. The analysis was done to measure the student performance in Thermodynamic I which final grade was used as the tools. The models show that Test 1 and Test 2 plays major role in the student final grade. Meanwhile assignments and quizzes play as a booster to their performances. The artificial intelligent model can be used for further investigate of the subject performance with include more predictor such as age, CGPA, gender and etc.
Description: MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
URI: http://hdl.handle.net/123456789/9027
Appears in Collections:Conference Papers

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