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Volumn 2074, Issue , 2001, Pages 952-957

A comparison of neural networks and classical discriminant analysis in predicting students’ mathematics placement examination scores

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EID: 84957868463     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45718-6_100     Document Type: Conference Paper
Times cited : (2)

References (8)
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    • (1993)
  • 2
    • 0031920465 scopus 로고    scopus 로고
    • Palomar project: Predicting school renouncing dropouts, using the artificial neural networks as a support for educational policy decisions
    • Carbone, V., Piras, G.: “Palomar project: Predicting school renouncing dropouts, using the artificial neural networks as a support for educational policy decisions”, Substance Use & Misuse, Vol.33, No.3 (1998) 717-750
    • (1998) Substance Use & Misuse , vol.33 , Issue.3 , pp. 717-750
    • Carbone, V.1    Piras, G.2
  • 3
    • 84957931528 scopus 로고    scopus 로고
    • Predicting grade point average using clustering and ANNs
    • Available: INSPEC Abstract Number C9807-7110-003
    • Cripps, A.: “Predicting grade point average using clustering and ANNs”, Proceedings of World Congress on Neural Networks [CD-ROM], 486-490. Available: INSPEC Abstract Number C9807-7110-003 (1996)
    • (1996) Proceedings of World Congress on Neural Networks [CD-ROM] , pp. 486-490
    • Cripps, A.1
  • 5
    • 0003079343 scopus 로고
    • Comparative study of artificial neural network and statistical models for predicting student grade point averages
    • Gorr, W. L., Nagin, D., Szczypula, J.: “Comparative study of artificial neural network and statistical models for predicting student grade point averages”International Journal of Forecasting, Vol.10, No.2 (1994) 17-34
    • (1994) International Journal of Forecasting , vol.10 , Issue.2 , pp. 17-34
    • Gorr, W.L.1    Nagin, D.2    Szczypula, J.3
  • 6
    • 84957869607 scopus 로고
    • Using neural net technology to enhance the efficiency of a computer adaptive testing application
    • Available: ERIC Number ED387122
    • Nelson, C.V., Henriksen, L.W.: “Using neural net technology to enhance the efficiency of a computer adaptive testing application”, Mid-Western Educational Research Association Annual Meeting [Microfiche], 1-40. Available: ERIC Number ED387122 (1994)
    • (1994) Mid-Western Educational Research Association Annual Meeting [Microfiche] , pp. 1-40
    • Nelson, C.V.1    Henriksen, L.W.2
  • 8
    • 84973728338 scopus 로고
    • Predicting graduate student success in an MBA program: Regression versus classification
    • Wilson, R.L., Hardgrave, B.C.: “Predicting graduate student success in an MBA program: Regression versus classification”, Educational and Psychological Measurement, vol.55, No.2 (1995) 186-195
    • (1995) Educational and Psychological Measurement , vol.55 , Issue.2 , pp. 186-195
    • Wilson, R.L.1    Hardgrave, B.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.