Student Performance Analysis Using Artificial Intelligent Method

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,...

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Main Authors: M. M., Noor, K., Kadirgama, M. S. M., Sani, M. R. M., Rejab, M. M., Rahman, M. Y., Taib
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1445/2/2009_P_MUCEET09_Std_M.M.Noor_K.Kadirgama-conference-done-.pdf
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author M. M., Noor
K., Kadirgama
M. S. M., Sani
M. R. M., Rejab
M. M., Rahman
M. Y., Taib
author_facet M. M., Noor
K., Kadirgama
M. S. M., Sani
M. R. M., Rejab
M. M., Rahman
M. Y., Taib
author_sort M. M., Noor
collection UMP
description 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 65 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.
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spelling UMPir14452018-01-31T01:45:25Z http://umpir.ump.edu.my/id/eprint/1445/ Student Performance Analysis Using Artificial Intelligent Method M. M., Noor K., Kadirgama M. S. M., Sani M. R. M., Rejab M. M., Rahman M. Y., Taib TJ Mechanical engineering and machinery 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 65 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. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1445/2/2009_P_MUCEET09_Std_M.M.Noor_K.Kadirgama-conference-done-.pdf M. M., Noor and K., Kadirgama and M. S. M., Sani and M. R. M., Rejab and M. M., Rahman and M. Y., Taib (2009) Student Performance Analysis Using Artificial Intelligent Method. In: Malaysian Technical Universities Conference on Engineering and Technology , 20-22 June 2009 , MS Garden Hotel, Kuantan, Pahang, Malaysia. . (Published)
spellingShingle TJ Mechanical engineering and machinery
M. M., Noor
K., Kadirgama
M. S. M., Sani
M. R. M., Rejab
M. M., Rahman
M. Y., Taib
Student Performance Analysis Using Artificial Intelligent Method
title Student Performance Analysis Using Artificial Intelligent Method
title_full Student Performance Analysis Using Artificial Intelligent Method
title_fullStr Student Performance Analysis Using Artificial Intelligent Method
title_full_unstemmed Student Performance Analysis Using Artificial Intelligent Method
title_short Student Performance Analysis Using Artificial Intelligent Method
title_sort student performance analysis using artificial intelligent method
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/1445/2/2009_P_MUCEET09_Std_M.M.Noor_K.Kadirgama-conference-done-.pdf
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