Analyzing students records to identify patterns of students' performance

Alan Cheah Kah Hoe, Mohd Sharifuddin Ahmad, Tan Chin Hooi, Mohana Shanmugam, Saraswathy Shamini Gunasekaran, Zaihisma Che Cob, Ammuthavali Ramasamy

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

13 Citations (Scopus)

Abstract

Academic failures among university students have been the subject of interest in higher education community. Students drop out due to poor academic performance as early as in the first year of their university enrolment. Many interested parties' debate and try to find reasons for this poor performance. Consequently, the ability to predict a student's performance could be useful in many ways to stakeholders of higher education institutions. This paper discusses the data mining technique used to identify the significant variables that affects and influences the performance of undergraduate students. Students' demographic and past academic performance data are then used to study the academic pattern. Early phases of the CRISP-DM methodology is also described in detail consisting business understanding, data understanding and data preparation. The data modeling and mining tool used identifies the most significant correlation of variables associated with academic success based on the past ten years of demographic and students' performance data of the College of Information Technology, Universiti Tenaga Nasional. Finally, the results from the application of the CHAID algorithm aimed at predicting students' academic success is presented.

Original languageEnglish
Title of host publication2013 International Conference on Research and Innovation in Information Systems, ICRIIS 2013
Pages544-547
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2013
Event2013 International Conference on Research and Innovation in Information Systems, ICRIIS 2013 - Kuala Lumpur, Malaysia
Duration: 27 Nov 201328 Nov 2013

Publication series

NameInternational Conference on Research and Innovation in Information Systems, ICRIIS
ISSN (Print)2324-8149
ISSN (Electronic)2324-8157

Other

Other2013 International Conference on Research and Innovation in Information Systems, ICRIIS 2013
CountryMalaysia
CityKuala Lumpur
Period27/11/1328/11/13

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems

Cite this

Hoe, A. C. K., Ahmad, M. S., Hooi, T. C., Shanmugam, M., Gunasekaran, S. S., Che Cob, Z., & Ramasamy, A. (2013). Analyzing students records to identify patterns of students' performance. In 2013 International Conference on Research and Innovation in Information Systems, ICRIIS 2013 (pp. 544-547). [6716767] (International Conference on Research and Innovation in Information Systems, ICRIIS). https://doi.org/10.1109/ICRIIS.2013.6716767