PREDICTION OF THE QUALITY OF UNIVERSITY LIFE THROUGH DATA MINING TECHNIQUES
DOI:
https://doi.org/10.22395/rium.v21n40a1Keywords:
Quality of university life, Bayesian, intelligent techniques, statistical techniques, data miningAbstract
The objective of this article is to measure through intelligent techniques, the quality of university life in a university population. In this investigation, a dependent variable called quality of university life is taken, as well as 10 independent variables: Academic load, economic resources, relationship with classmates, relationship with professors, curriculum, extracurricular activities, current housing, family relationships, emotional state and university environment. In the samplings of these variables, 127 surveys were carried out on university students of a public university located in the central region of Colombia. Subsequently, the most relevant variables were selected throughout statistical techniques, in order to establish a file to be analyzed through the decision tree classification algorithm J48from the Weka platform. The results show, with over an 80 % effectiveness, that the most influential variables in the quality of life of a university student are: University environment, current housing, emotional state, and relationships with professors. Finding a lot of times that the quality of university life can also depend of external variables to the university such as: Current housing and emotional state. These results are of great importance in the design of new university policies.
Downloads
References
ONU, (2012). “ONU examina relación entre felicidad y desarrolloâ€.Available in: https://news.un.org/es/story/2012/04/1238601.
Datu, J., King, R., and Valdez, J. “The Academic Rewards of Socially-Oriented Happiness: Interdependent Happiness Promotes Academic Engagementâ€. Journal of School Psychology, vol. 61, pp. 19–31, 2017.
RamÃrez, P., Fuentes, C. (2013). “Felicidad y Rendimiento Académico: Efecto Moderador de la Felicidad sobre Indicadores de Selección y Rendimiento Académico de Alumnos de IngenierÃa Comercialâ€. Formación Universitaria, vol. 6, no. 3, pp. 21–30. doi: http://dx.doi.org/10.4067/S0718-50062013000300004.
Habibzadeh, S. and Allahvirdiyani, K. (2011). “Effects of economic and non economic factors on happiness on primary school teachers and Urmia University professorsâ€.vol. 30, pp. 2050–2051. doi: https://doi.org/10.1016/j.sbspro.2011.10.397.
Kamthan, S., et al. (2019). “Happiness among second year MBBS students and its correlates using Oxford Happiness Questionnaireâ€, Journal of Oral Biology and Craniofacial Research, vol. 9, pp. 190–192. doi: https://doi.org/10.1016/j.jobcr.2018.06.003.
Talebzadeh, F. and Samkan M. (2011). “Happiness for our kids in schools: A conceptual modelâ€, Procedia - Social and Behavioral Sciences, vol. 29, pp. 1462–1471. doi: https://doi.org/10.1016/j.sbspro.2011.11.386.
Chan G., Miller, P. and Tcha, M. (2005). “Happiness In University Educationâ€. International Review of Economics Education, vol. 4, pp. 20–45. doi: https://doi.org/10.1016/S1477-3880(15)30139-0.
Vigneswaran Applasamy, V., et al. (2014). “Measuring Happiness in Academic Environment:
A Case Study of the School Of Engineering at Taylor’s University (Malaysia)â€. Procedia -
Social and Behavioral Sciences, vol. 123, pp. 106–112. doi: 10.1016/j.sbspro.2014.01.1403.
Aziz. R., et al. (2014). “Personality and happiness among academicians in Malaysiaâ€. Procedia- Social and Behavioral Sciences, vol. 116, pp. 4209–4212. doi: https://doi.org/10.1016/j.sbspro.2014.01.
Öztürk A. and Mutlu, T. (2010). “The relationship between attachment style, subjective well-being, happiness and social anxiety among university students’â€. Procedia Social and Behavioral Sciences. vol. 9, pp. 1772–1776. doi: https://doi.org/10.1016/j.sbspro.2010.12.398.
Moeinaddini, M., et al. (2020). “Proposing a New Score to Measure Personal Happiness by Identifying the Contributing Factorsâ€. Measurement, vol. 151, 107-115.doi: https://doi.org/10.1016/j.measurement.2019.107115.
Mangaraj, B.K. and Aparajita, U. (2020). “Constructing a generalized model of the human development indexâ€. Socio-Economic Planning Sciencesvol. 70, 100778. doi: https://doi.org/10.1016/j.seps.2019.100778.
Karagiannis, R. and Karagiannis, G. (2020). “Constructing composite indicators with Shannon entropy: The case of Human Development Indexâ€. Socio-Economic Planning Sciences, vol.70, 100701. doi: https://doi.org/10.1016/j.seps.2019.03.007.
Pinar M., Stengos, T. and Topaloglou, N. (2017). “Testing for the implicit weights of the dimensions of the Human Development Index using stochastic dominanceâ€. Economics Letters. vol. 161, pp. 38–42. doi: https://doi.org/10.1016/j.econlet.2017.09.023.
Chen l., Cai, W., and Ma, M. (2020) “Decoupling or delusion? Mapping carbon emission per capita based on the human development index in Southwest Chinaâ€. Science of The Total Environment. vol. 741, 138722. doi: https://doi.org/10.1016/j.scitotenv.2020.138722.
Riahi M., et al. (2018). “Diarrhea deaths in children among countries with different levels of the human development indexâ€. Data in Brief, vol. 17, pp. 954–960. doi: https://doi.org/10.1016/j.dib.2018.02.019.
Sarkodie, S.A., and Adams, S. (2020). “Electricity access, human development index, governance and income inequality in Sub-Saharan Africaâ€. Energy Reports, vol. 6, pp. 455–466.doi: https://doi.org/10.1016/j.egyr.2020.02.009.
MartÃnez-Mesa J.,et al. (2017). “Exploring disparities in incidence and mortality rates of breast and gynecologic cancers according to the Human Development Index in the Pan-American regionâ€. Public Health, vol. 149, pp. 81–88. doi: http://dx.doi.org/10.1016/j.puhe.2017.04.017.
Veisani, Y., et al. (2018). “Global incidence and mortality rates in pancreatic cancer and the association with the Human Development Index: decomposition approachâ€. Public Health. vol. 156, pp. 87–91. doi: https://doi.org/10.1016/j.puhe.2017.12.015.
Hwang, Y-H, and Hsiao, C-K, Lin, P-W. (2019). “Globally temporal transitions of blood lead levels of preschool children across countries of different categories of Human Development Indexâ€. Science of the Total Environment, vol. 659, pp. 1395–1402. doi: https://doi.org/10.1016/j.scitotenv.2018.12.436.
Wang, Z., et al. (2018). “Renewable energy consumption, economic growth and human development index in Pakistan: Evidence form simultaneous equation modelâ€. Journal of Cleaner Production, vol. 184, pp. 1081–1090.doi: https://doi.org/10.1016/j.jclepro.2018.02.260.
MartÃnez-Guido, S., González-Campos, J., and Ponce-Ortega, J. (2019). “Strategic planning to improve the Human Development Index in disenfranchised communities through satisfying food, water and energy needsâ€. Food and Bioproducts Processing, vol. 117, pp. 14–29. doi: https://doi.org/10.1016/j.fbp.2019.06.007.
Khazaei, S., et al. (2017). “Suicide rate in relation to the Human Development Index and other health related factors: A global ecological study from 91 countriesâ€. Journal of Epidemiology and Global Health, vol. 7, pp. 131-134. doi: http://dx.doi.org/10.1016/j.jegh.2016.12.002.
Long, X., et al. (2020). “Sustainability evaluation based on the Three-dimensional Ecological Footprint and Human Development Index: A case study on the four island regions in Chinaâ€. Journal of Environmental Management, vol. 265, 110509. doi: https://doi.org/10.1016/j.jenvman.2020.110509.
Yue, S., Shen, Y., and Yuan, J. (2019). “Sustainable total factor productivity growth for 55 states: An application of the new malmquist index considering ecological footprint and human development indexâ€. Resources, Conservation & Recycling. vol. 146, pp. 475–483. doi: https://doi.org/10.1016/j.resconrec.2019.03.035.
Hickel, J. (2020). “The sustainable development index: Measuring the ecological efficiency of human development in the anthropoceneâ€. Ecological Economics, vol. 167, 106331. doi: https://doi.org/10.1016/j.ecolecon.2019.05.011.
Biggeri, M. and Mauro, V. (2018). “Towards a more ´Sustainable’ Human Development Index: Integrating the environment and freedomâ€. Ecological Indicators. vol. 91, pp. 220–231. doi: https://doi.org/10.1016/j.ecolind.2018.03.045.
Zhang, X. and P. Luo. (2021). “Analysis of psychological education factors based on computer software and hardware collaboration and data miningâ€. Microprocessors and Microsystems, vol. 81, 103744. doi: https://doi.org/10.1016/j.micpro.2020.
Rong, L. (2021). “Remote case teaching mode based on computer FPGA platform and data mining.†Microprocessors and Microsystems, vol. 83, 103986. doi: https://doi.org/10.1016/j.micpro.2021.
Lemay, D., C. Baek. and T. “Doleck, Comparison of learning analytics and educational data mining: A topic modeling approachâ€. Computers and Education: Artificial Intelligence, vol. 2, 100016. doi: https://doi.org/10.1016/j.caeai.2021.
Omrani, H., Alizadeh, A. and Amini M. (2020). “A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iranâ€. Socio-Economic Planning Sciences. vol. 70, 100689. doi: https://doi.org/10.1016/j.seps.2019.02.004
“Weka 3: Machine Learning Software in Javaâ€. cs.waikato.ac.nz/. Available: https://www.cs.waikato.ac.nz/ml/weka/
Castrillón O., W. Sarache and S. Ruiz. “Predicción del Rendimiento Académico por medio de Técnicas de Inteligencia Artificialâ€. Formación Universitaria, vol. 13, pp. 93–102, 2020.
Valdivieso, C.E., R. Valdivieso and O.A. Valdivieso. (2011). “Determinación del tamaño muestral mediante el uso de árboles de decisiónâ€. UPB - Investigación & Desarrollo, vol.11, pp. 148–176. doi: 10.23881/idupbo.011.1-4e.
Valencia, M., J. Correa and F. DÃaz. (2015). “Métodos estadÃsticos clásicos y bayesianos para el pronóstico de demanda. Un análisis comparativoâ€. Revista Facultad de Ciencias Universidad Nacional de Colombia, vol. 4, pp. 52–67. doi: https://doi.org/10.15446/rev.fac.cienc.v4n1.49775.
Downloads
Published
How to Cite
Issue
Section
License
The total or partial reproduction of the contents of the journal for educational, research, or academic purposes is authorized as long as the source is cited. For reproduction for other purposes, express authorization from the Sello Editorial Universidad de MedellÃn is required.
