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Predicting Student Performance Using Artificial Neural Network : in the Faculty of Engineering and Information Technology

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.8 No.2 (2015.02)바로가기
  • 페이지
    pp.221-228
  • 저자
    Samy Abu Naser, Ihab Zaqout, Mahmoud Abu Ghosh, Rasha Atallah, Eman Alajrami
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A241944

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원문정보

초록

영어
In this paper an Artificial Neural Network (ANN) model, for predicting the performance of a sophomore student enrolled in engineering majors in the Faculty of Engineering and Information Technology in Al- Azhar University of Gaza was developed and tested. A number of factors that may possibly influence the performance of a student were outlined. Such factors as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics I taken during the student freshman year, number of credits passed, student cumulative grade point average of freshman year, types of high school attended and gender, among others, were then used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was developed and trained using data spanning five generations of graduates from the Engineering Department of the Al- Azhar University, Gaza. Test data evaluation shows that the ANN model is able to correctly predict the performance of more than 80% of prospective students.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. The Artificial Neural Networks
 4. Methodology
  4.1. The Input Variables
  4.2. The Output Variable
 5. Design of the Neural Networks
  5.1. Network Architecture
  5.2. The Back-propagation Training Algorithm
 6. Evaluation of Neural Network
 7. Conclusion
 References

키워드

Artificial Neural Networks Student performance ANN Education Predictive Model

저자

  • Samy Abu Naser [ Faculty of Engineering & Information Technology, Al-Azhar University - Gaza, Palestine ]
  • Ihab Zaqout [ Faculty of Engineering & Information Technology, Al-Azhar University - Gaza, Palestine ]
  • Mahmoud Abu Ghosh [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]
  • Rasha Atallah [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]
  • Eman Alajrami [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.2

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