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Volumn 8, Issue , 2010, Pages 299-306

Predicting pre-university students' mathematics achievement

Author keywords

Back propagation neural network; Decision tree; Generalized regression neural network; Mathematics; Pre university

Indexed keywords


EID: 78651238304     PISSN: 18770428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.sbspro.2010.12.041     Document Type: Conference Paper
Times cited : (16)

References (18)
  • 4
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • Chen, S., Cowan, C.F.N. & Grant, P.M. (1991). Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on Neural Networks, 2(2), 302-309.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 9
    • 78651252829 scopus 로고    scopus 로고
    • Predicting students' academic performance: Comparing artificial neural network, decision tree and linear regression
    • Paper presented in the, Shangri-La Hotel, Kuala Lumpur, 5th September 2007
    • Ibrahim, Z. & Rusli, D. (2007). Predicting students' academic performance: Comparing artificial neural network, decision tree and linear regression. Paper presented in the 21st Annual SAS Malaysia Forum, 5th September 2007, Shangri-La Hotel, Kuala Lumpur.
    • (2007) 21st Annual SAS Malaysia Forum
    • Ibrahim, Z.1    Rusli, D.2
  • 10
    • 2942552288 scopus 로고    scopus 로고
    • Predicting students' performance in distance learning using machine learning techniques
    • Kotsiantis, S., Pierrakeas C. & Pintelas P. (2004). Predicting students' performance in distance learning using machine learning techniques. Applied Artificial Intelligence, 18(5), 411-426.
    • (2004) Applied Artificial Intelligence , vol.18 , Issue.5 , pp. 411-426
    • Kotsiantis, S.1    Pierrakeas, C.2    Pintelas, P.3
  • 14
    • 77958151954 scopus 로고    scopus 로고
    • Predicting students' academic performance using artificial neural network: A case study of an engineering course
    • Oladokun, V.O., Adebanjo, A.T. and Charles-Obawa, O.E. (2008). Predicting students' academic performance using artificial neural network: A case study of an engineering course. The Pacific Journal of Science and Technology, 9(1), 72-79.
    • (2008) The Pacific Journal of Science and Technology , vol.9 , Issue.1 , pp. 72-79
    • Oladokun, V.O.1    Adebanjo, A.T.2    Charles-Obawa, O.E.3
  • 16
    • 78651231585 scopus 로고    scopus 로고
    • A comparison of neural networks and classical discriminant analysis in predicting students' mathematics placement examination scores
    • Alexandrov, V.N. Dongarra, J. Juliano, B.A. Renner, R. & Kenneth Tan, C.J. (Eds.), Springer
    • Sheel, S.J., Vrooman, D., Renner, R.S. & Dawsey, S.K. (2001). A comparison of neural networks and classical discriminant analysis in predicting students' mathematics placement examination scores. In Computational Science-ICCS 2001, Alexandrov, V.N., Dongarra, J., Juliano, B.A., Renner, R. & Kenneth Tan, C.J. (Eds.), Springer.
    • (2001) Computational Science-ICCS 2001
    • Sheel, S.J.1    Vrooman, D.2    Renner, R.S.3    Dawsey, S.K.4
  • 18
    • 51949102480 scopus 로고    scopus 로고
    • Predicting academic performance by data mining methods
    • Vandamme, J.P., Superby, J.F. & Meskens, N. (2007). Predicting academic performance by data mining methods. Education Economics, 15(4), 405-419.
    • (2007) Education Economics , vol.15 , Issue.4 , pp. 405-419
    • Vandamme, J.P.1    Superby, J.F.2    Meskens, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.