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DETERMINATION OF FACTORS AFFECTED THE FOUNDATION STUDENTS IN WITHDRAWAL

Year 2020, Volume: 6 Issue: 16, 120 - 123, 10.09.2020

Zuwaina Rashid Salim Al-riyami Aiman Moayid

https://doi.org/10.18768/ijaedu.616016

Abstract

In 21 century the education become more important like the health and the economic sector. In Oman, the students join the higher educational institutes after they complete twelve years in school. During their studies the students affected by many factors that can lead them to incomplete their studies and get the higher certificate. This study investigate the factors that affect the students in withdraw from colleges of technology in the first year using data mining techniques. This study target the students in colleges of technology in foundation level. Using decision tree list of the rules extracted that may affect the students in withdrawing from the college. It found that most of students leave the college with reason undesired to study, which affected the college preformance.

Keywords

Data mining withdraw, higher education Colleges of Technology, factors

References

  • Al-Radaideh, Q. A., Al-Shawakfa, E. M., & Al-Najjar, M. I. (2006, December). Mining student data using decision trees. In International Arab Conference on Information Technology (ACIT'2006), Yarmouk University, Jordan
  • Raju, D., & Schumacker, R. (2015). Exploring student characteristics of retention that lead to graduation in higher education using data mining models. Journal of College Student Retention: Research, Theory & Practice, 16(4), 563-591.

Year 2020, Volume: 6 Issue: 16, 120 - 123, 10.09.2020

Zuwaina Rashid Salim Al-riyami Aiman Moayid

https://doi.org/10.18768/ijaedu.616016

Abstract

References

  • Al-Radaideh, Q. A., Al-Shawakfa, E. M., & Al-Najjar, M. I. (2006, December). Mining student data using decision trees. In International Arab Conference on Information Technology (ACIT'2006), Yarmouk University, Jordan
  • Raju, D., & Schumacker, R. (2015). Exploring student characteristics of retention that lead to graduation in higher education using data mining models. Journal of College Student Retention: Research, Theory & Practice, 16(4), 563-591.
There are 2 citations in total.

Details

Primary Language English
Subjects Other Fields of Education
Journal Section Articles
Authors

Zuwaina Rashid Salim Al-riyami

Aiman Moayid

Publication Date September 10, 2020
Submission Date February 3, 2020
Published in Issue Year 2020 Volume: 6 Issue: 16

Cite

EndNote Al-riyami ZRS, Moayid A (September 1, 2020) DETERMINATION OF FACTORS AFFECTED THE FOUNDATION STUDENTS IN WITHDRAWAL. IJAEDU- International E-Journal of Advances in Education 6 16 120–123.
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