International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Towards a Deep Analysis of High School Students' Outcomes

  • Barila, Adina (Stefan cel Mare University of Suceava) ;
  • Danubianu, Mirela (Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), Stefan cel Mare University) ;
  • Paraschiv, Andrei Marcel (Stefan cel Mare University of Suceava)
  • Received : 2021.06.05
  • Published : 2021.06.30
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Abstract

Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests.

Keywords

Acknowledgement

This work is supported by the project ANTREPRENORDOC, in the framework of Human Resources Development Operational Programme 2014-2020, financed from the European Social Fund under the contract number 36355/23.05.2019 HRD OP /380/6/13 - SMIS Code: 123847.

References

  1. Wang, W.; Yu, H.; Miao, C. Deep Model for Dropout Prediction in MOOCs. In Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, Beijing, China, 6-9 July 2017; pp. 26-32.
  2. W. Omona, T. van der Weide, and J. Lubega, 2010. "Using ICT to enhance knowledge management in higher education: A conceptual framework and research agenda", International Journal of Education and Development using Information and Communication Technology, vol. 6(4), p.83-101, 2010.
  3. J. Luan, "Data mining and its applications in higher education" New directions for institutional research, Special Issue: Knowledge Management: Building a Competitive Advantage in Higher Education vol. 2002(113), pp.17-36, 2002.
  4. S. Natek, and M. Zwilling, "Data mining for small student data set: Knowledge management system for higher education teachers" In Management, knowledge and learning international conference, Zadar. June 2013,Vol. 1, p. 1379-1389, 2013.
  5. Galit.et.al, "Examining online learning processes based on log files analysis: a case study". Research, Reflection and Innovations in Integrating ICT in Education 2007.
  6. Suhirman et al. Data Mining for Education Decision Support: A Review. International Journal of Emerging Technologies in Learning (iJET), [S.l.], v. 9, n. 6, p. pp. 4-19, dec. 2014. ISSN 1863-0383. Available at: Date accessed: 14 May. 2021. doi:http://dx.doi.org/10.3991/ijet.v9i6.3950
  7. Calders T, Pechenizkiy M; Introduction to the special section on educational data mining. ACM SIGKDD Explor, 2011; 13(2): 3-6. https://doi.org/10.1145/2207243.2207245
  8. Romero C, Ventura S; Educational data mining: a review of the state of the art. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., 2010; 40(6): 601-618. https://doi.org/10.1109/TSMCC.2010.2053532
  9. Romero C, Ventura S; Data mining in education. Wiley Interdisc. Rev.: Data Min. Knowl. Discovery, 2013; 3(1):12-27. https://doi.org/10.1002/widm.1075
  10. Yang, B.; Qu, Z. Feature Extraction and Learning Effect Analysis for MOOCS Users Based on Data Mining. Educ. Sci. Theory Pract. 2018, 18, 1138-1149.
  11. Jin, C. MOOC student dropout prediction model based on learning behavior features and parameter optimization. Interact. Learn. Environ. 2020
  12. Baker, R. et al. (2010). Data mining for education. International encyclopedia of education, 7(3):112-118. https://doi.org/10.1016/B978-0-08-044894-7.01318-X