research-article

A Data Mining Approach for Student Referral Service of the Guidance Center: An Input in Designing Mediation Scheme for Higher Education Institutions of the Philippines

Authors:

Joey A. Cabrera,

Markdy Y. Orong,

Nelpa N. Capio,

Ariel R. ClarinAuthors Info & Claims

ICSIM '20: Proceedings of the 3rd International Conference on Software Engineering and Information Management

Pages 10 - 14

https://doi.org/10.1145/3378936.3378958

Published: 07 March 2020 Publication History

Abstract

The academic guidance office of an educational institution holds pertinent data of all the students in the institution such as psychological examination results, students' referral records and the like. Further, the office offered orientation services, testing services, counseling and follow-up services, individual inventory services, career guidance services, research & evaluation services and placement services. In this paper, a data mining approach was used to produce a trend analysis through time series and forecasted data using the Autoregressive Integrated Moving Average (ARIMA) of the student referral details from one of the Higher Education Institutions in the Philippines. Student referral historical data from the second semester of school year 2016- 2017, first semester of school year 2017-2018, second semester of school year 2017-2018 and the first semester of school year 2018- 2019 was used in the study. Results showed that absenteeism, poor attendance and poor academic performance were the highest number of recorded students' referrals over the others in which poor attendance yields a decreasing pattern among the three. On the other hand, based on the forecasted data, only poor academic performance and poor attendance showed a slight increasing patterns among others. These further signify that a proper program should be in place by the school counselors in mitigating the occurrence of referrals especially on the reasons showing an increase of prediction data.

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Cited By

McConvey KGuha SKuzminykh A(2023)A Human-Centered Review of Algorithms in Decision-Making in Higher EducationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580658(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580658

Index Terms

A Data Mining Approach for Student Referral Service of the Guidance Center: An Input in Designing Mediation Scheme for Higher Education Institutions of the Philippines
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology

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ICSIM '20: Proceedings of the 3rd International Conference on Software Engineering and Information Management

January 2020

258 pages

ISBN:9781450376907

DOI:10.1145/3378936

Copyright © 2020 ACM.

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University of Science and Technology of China: University of Science and Technology of China

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Published: 07 March 2020

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ICSIM '20: The 3rd International Conference on Software Engineering and Information Management

January 12 - 15, 2020

NSW, Sydney, Australia

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Cited By

McConvey KGuha SKuzminykh A(2023)A Human-Centered Review of Algorithms in Decision-Making in Higher EducationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580658(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580658

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