International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A Prediction Model for studying the Impact of Separated Families on Students using Decision Tree

  • Ourida Ben boubaker (Department of Computer and Information Sciences, College of Computer and Information Sciences Jouf University) ;
  • Ines Hosni (Department of Information Systems, College of Computer and Information Sciences Jouf University) ;
  • Hala Elhadidy (Department of Electrical Engineering, Faculty of Engineering Port Said University)
  • Received : 2023.04.05
  • Published : 2023.04.30
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Abstract

Social studies show that the number of separated families have lately increased due to different reasons. Despite the causes for family rift, many problems are resulted which affected the children physically and psychologically. This effect may cause them fail in their life especially at school. This paper focuses on the negative reaction of the parents' separation with other factors from the computer science prospective. Since the artificial intelligent field is the most common widespread in computer science, a predictive model is built to predict if a specific child whose parents separated, may complete the school successfully or fail to continue his education. This will be done using Decision Tree that have proved their effectiveness on the predication applications. As an experiment, a sample of individuals is randomly chosen and applied on our prediction model. As a result, this model shows that the separation may cause the child success at school if other factors are satisfied; the intelligent of the guardian, the relation between the parents after the separation, his age at the separation time, etc.

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References

  1. A. Botezat, F. Pfeiffer, "The impact of parental labour migration on left-behind children's educational and psychosocial outcomes: Evidence from Romania," Popul Space Place, vol. 26, 2020. DOI: 10.1002/psp.2277
  2. B. R Patel, K. K Rana, "A Survey] on Decision Tree Algorithm For Classification," IJEDR , Volume 2, Issue 1, 2014, ISSN: 2321-9939.
  3. Caliskan et al., "Peer Bullying in the Preadolescent Stage: Frequency and Types of Bullying and the Affecting Factors," J Pediatr Res 2019, 6(3):169-79, DOI: 10.4274/jpr.galenos.2018.26576
  4. MA. Corazon G. Fernando et al, "Development of a Predictive Decision Support System for Student Graduation using a Decision Tree Algorithm," ISSN: 1473-804x online, 1473-8031 print, DOI 10.5013/IJSSST.a.20.S2.27.
  5. M. Sarrami, A. Nazari, A. Kassayi," Effect of positive psychotherapy on psychological well-being of divorce children," Journal of Research & Health, Vol. 8, No. 4, Jul & Aug 2018, Pages: 298- 304. DOI: 10.29252/jrh.8.4.298
  6. N. A. Corley, P. Reeves, S. G. Odera, "African American High School Seniors and Their Mothers Perspectives on Academic Success," Child and Adolescent Social Work Journal, Vol. 37, pages 25-37, 2020. https://doi.org/10.1007/s10560-019-00621-y
  7. Sh. M. Maabreh, A. R. Al-Masri," Adaptation, family cohesion and happiness among tenth-grade students in Irbid governorate," International Journal of Educational & Psychological Studies (EPS), 293- 304, 2020. ISSN: 2520-4149 (Online) 2520-4130 (Print) DOI: https://doi.org/10.31559/EPS2021.9.1.18
  8. S. M. M. Bafghi, B. F. Aram, R. Khalili," Comparison of Educational Motivation, Social Compatibility and Happiness in Students with Divorced Parents and Non-Divorced (Ordinary) Parents in Boy Schools of Tehran Restrict," International Journal of Scientific Management and Development, Vol.4, No.4 , pp:131-136, April 2016. ISSN: 2345-3974.
  9. T. O. Ayodele," Types of Machine Learning Algorithms, New Advances in Machine Learning," ISBN: 978-953-307-034-6, 2010, InTech, Available from: http://www.intechopen.com/books/newadvances-in-machine-learning/types-of-machine-learningalgorithms (Access 18 October 2021).
  10. W. N. SHaziayani , F. D. Harun, A. Z. Ul-saufie, N. Samsudin, N. M. Noor, "Three-Days Ahead Prediction Of Daily Maximum Concentrations Of Pm10 Using Decision Tree Approach," International Journal Of Conservation Science (IJCS), Vol. 12, Issue 1, 2021: 217-224, ISSN: 2067-533X.