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The School Absenteeism Contributing Factors: Oman as a Case Study

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Intelligent Data Analysis and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

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Abstract

Student absenteeism is an acknowledged and pervasive problem in many schools in the sultanate of Oman. It is a major problem in rural areas as a result of lacking the ability to enforce the minimum age requirement in these areas. Practically, the high level of absence has a major impact on the performance of students in the long run. This challenges the researchers of this paper to investigate the root social and demographic factors for such a problem. Abdullah Abin Al-Zubir School is chosen as a case study. To identify such factors, a data mining Decision Support System (DSS) is developed to classify the most probable students to get absent from their schools from the least probable ones. Results show the most contributing factors in the absenteeism problem of Abdullah Abin Al-Zubir Schools students are age: the number of family members, the family income and mothers employment status.

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Author information

Authors and Affiliations

  1. University of Liverpool, Liverpool, UK

    Bader Said Rashid AL-Farsi

  2. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Ali Ahmed

  3. College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab of Emirates

    Saadat AlHashmi

Authors
  1. Bader Said Rashid AL-Farsi
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  2. Ali Ahmed
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  3. Saadat AlHashmi
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Corresponding author

Correspondence to Ali Ahmed .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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AL-Farsi, B.S.R., Ahmed, A., AlHashmi, S. (2015). The School Absenteeism Contributing Factors: Oman as a Case Study. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

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