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Data Pre-processing and Data Generation in the Student Flow Case Study

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Intelligent Data Engineering and Automated Learning – IDEAL 2020 (IDEAL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12490))

Abstract

Education covers a range of sectors from kindergarten to higher education. In the education system, each grade has three possible outcomes: dropout, retention and pass to the next grade. In this work, we study the data from the Department of Statistics of Education and Science (DGEEC) of the Education Ministry. DGEEC maintains those outcomes for each school year, therefore, this study seeks a longitudinal view based on student flow. The document reports the data pre-processing, a stochastic model based on the pre-processed data and a data generation process that uses the previous model.

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References

  1. Bronson, R., Naadimuthu, G.: Schaum’s Outline of Operations Research, 2nd edn. McGraw-Hill, New York (1997)

    Google Scholar 

  2. Grinstead, C.M., Snell, J.L.: Introduction to probability. American Mathematical Society, Providence (1997)

    MATH  Google Scholar 

  3. Heileman, G.L., Babbitt, T.H., Abdallah, C.T.: Visualizing student flows: busting myths about student movement and success, change. Mag. High. Learn. 47(3), 30–39 (2015)

    Article  Google Scholar 

  4. ISCED: International Standard Classification of Education. UNESCO Institute for Statistics, Montreal, Quebec, Canada (2011)

    Google Scholar 

  5. Junior, P.L., Silveira, F.L., Ostermann, F.: Survival analysis applied to student ow in undergraduate physics courses: an example from a Brazilian university. Revista Brasileira de Ensino de Física 34(1), 1403 (2012)

    Google Scholar 

  6. Fiallos A.X.: Ochoa Discrete event simulation for student flow in academic study periods, Twelfth Latin American Conference on Learning Technologies (LACLO). IEEE, Argentina (2017)

    Google Scholar 

  7. Lovell, C.C.: Student Flow Models: A Review and Conceptualization. National Center for Education Research and Development, Washington, D.C. (1971)

    Google Scholar 

  8. Saltzman, R.M., Roeder, T.M.: Simulating student flow through a college of business for policy and structural change analysis. J. Oper. Res. Soc. 63(4), 511–523 (2012)

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the FCT Projects of Scientific Research and Technological Development in Data Science and Artificial Intelligence in Public Administration, 2018–2022 (DSAIPA/DS/0039/2018), for its support. LCav, PP and LCor also acknowledge support by UID/MULTI/04046/2103 center grant from FCT, Portugal (to BioISI).

Author information

Authors and Affiliations

  1. Universidade Aberta, Lisbon, Portugal

    Luís Cavique

  2. MAS-BioISI, FCUL, Lisbon, Portugal

    Luís Cavique, Paulo Pombinho & Luís Correia

  3. University of Huelva, Huelva, Spain

    Antonio J. Tallón-Ballesteros

Authors
  1. Luís Cavique
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  2. Paulo Pombinho
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  3. Antonio J. Tallón-Ballesteros
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  4. Luís Correia
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Corresponding author

Correspondence to Luís Cavique .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    Cesar Analide

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. Technical University of Madrid, Madrid, Spain

    David Camacho

  4. University of Manchester, Manchester, UK

    Hujun Yin

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Cavique, L., Pombinho, P., Tallón-Ballesteros, A.J., Correia, L. (2020). Data Pre-processing and Data Generation in the Student Flow Case Study. In: Analide, C., Novais, P., Camacho, D., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science(), vol 12490. Springer, Cham. https://doi.org/10.1007/978-3-030-62365-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-62365-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62364-7

  • Online ISBN: 978-3-030-62365-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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