Mining survey data on university students to determine trends in the selection of majors

Almahdi Alshareef, Salem Ahmida, Azuraliza Abu Bakar, Abdul Razak Hamdan, Mohammed Alweshah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The main objective of higher education institutions is to provide quality education to their students. One way to achieve the highest level of quality in a higher education system is to discover knowledge for predictions regarding enrollment of students on a particular course, alienation of traditional majors based on students' performance and so on. This knowledge is hidden in the educational data set and it is extractable through data mining techniques. The present paper is designed to justify the capabilities of data mining techniques in the context of higher education by offering a data mining model for the higher education system at Sebha University. In this research, association rules are used to evaluate students' performance by applying the apriori algorithm on survey data. In this task we extract knowledge that describes students' performance, which helps in identifying earlier trends in the choices of major and in helping new students to select their major.

Original languageEnglish
Title of host publicationProceedings of the 2015 Science and Information Conference, SAI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages586-590
Number of pages5
ISBN (Print)9781479985470
DOIs
Publication statusPublished - 2 Sep 2015
EventScience and Information Conference, SAI 2015 - London, United Kingdom
Duration: 28 Jul 201530 Jul 2015

Other

OtherScience and Information Conference, SAI 2015
CountryUnited Kingdom
CityLondon
Period28/7/1530/7/15

Fingerprint

Data Mining
Students
Education
university
trend
Data mining
student
education system
performance
education
Association rules
alienation
Surveys and Questionnaires
Research

Keywords

  • association rules and apriori algorithm
  • data mining
  • education data

ASJC Scopus subject areas

  • Health Informatics
  • Social Sciences (miscellaneous)
  • Computer Science Applications
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Information Systems
  • Software

Cite this

Alshareef, A., Ahmida, S., Abu Bakar, A., Hamdan, A. R., & Alweshah, M. (2015). Mining survey data on university students to determine trends in the selection of majors. In Proceedings of the 2015 Science and Information Conference, SAI 2015 (pp. 586-590). [7237202] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAI.2015.7237202

Mining survey data on university students to determine trends in the selection of majors. / Alshareef, Almahdi; Ahmida, Salem; Abu Bakar, Azuraliza; Hamdan, Abdul Razak; Alweshah, Mohammed.

Proceedings of the 2015 Science and Information Conference, SAI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 586-590 7237202.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alshareef, A, Ahmida, S, Abu Bakar, A, Hamdan, AR & Alweshah, M 2015, Mining survey data on university students to determine trends in the selection of majors. in Proceedings of the 2015 Science and Information Conference, SAI 2015., 7237202, Institute of Electrical and Electronics Engineers Inc., pp. 586-590, Science and Information Conference, SAI 2015, London, United Kingdom, 28/7/15. https://doi.org/10.1109/SAI.2015.7237202
Alshareef A, Ahmida S, Abu Bakar A, Hamdan AR, Alweshah M. Mining survey data on university students to determine trends in the selection of majors. In Proceedings of the 2015 Science and Information Conference, SAI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 586-590. 7237202 https://doi.org/10.1109/SAI.2015.7237202
Alshareef, Almahdi ; Ahmida, Salem ; Abu Bakar, Azuraliza ; Hamdan, Abdul Razak ; Alweshah, Mohammed. / Mining survey data on university students to determine trends in the selection of majors. Proceedings of the 2015 Science and Information Conference, SAI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 586-590
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