IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v442y2016icp36-49.html
   My bibliography  Save this article

Modeling and predicting the Spanish Bachillerato academic results over the next few years using a random network model

Author

Listed:
  • Cortés, J.-C.
  • Colmenar, J.-M.
  • Hidalgo, J.-I.
  • Sánchez-Sánchez, A.
  • Santonja, F.-J.
  • Villanueva, R.-J.

Abstract

Academic performance is a concern of paramount importance in Spain, where around of 30% of the students in the last two courses in high school, before to access to the labor market or to the university, do not achieve the minimum knowledge required according to the Spanish educational law in force. In order to analyze this problem, we propose a random network model to study the dynamics of the academic performance in Spain. Our approach is based on the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. Moreover, in order to consider the uncertainty in the estimation of model parameters, we perform a lot of simulations taking as the model parameters the ones that best fit data returned by the Differential Evolution algorithm. This technique permits to forecast model trends in the next few years using confidence intervals.

Suggested Citation

  • Cortés, J.-C. & Colmenar, J.-M. & Hidalgo, J.-I. & Sánchez-Sánchez, A. & Santonja, F.-J. & Villanueva, R.-J., 2016. "Modeling and predicting the Spanish Bachillerato academic results over the next few years using a random network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 36-49.
  • Handle: RePEc:eee:phsmap:v:442:y:2016:i:c:p:36-49
    DOI: 10.1016/j.physa.2015.08.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437115006962
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2015.08.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cortés, Juan-Carlos & Santonja, Francisco-J. & Tarazona, Ana-C. & Villanueva, Rafael-J. & Villanueva-Oller, Javier, 2015. "A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country population towards ETA as a case study," Applied Mathematics and Computation, Elsevier, vol. 264(C), pages 13-20.
    2. Santonja, F.-J. & Morales, A. & Villanueva, R.-J. & Cortés, J.-C., 2012. "Analysing the effect of public health campaigns on reducing excess weight: A modelling approach for the Spanish Autonomous Region of the Community of Valencia," Evaluation and Program Planning, Elsevier, vol. 35(1), pages 34-39.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Yongshun & Li, Xiaodi & Cao, Jinde, 2020. "Global exponential stability for impulsive systems with infinite distributed delay based on flexible impulse frequency," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    2. C. Burgos & J. C. Cortés & D. Martínez-Rodríguez & R. J. Villanueva, 2019. "Computational Modeling With Uncertainty Of Frequent Users Of E-Commerce In Spain Using An Age-Group Dynamic Nonlinear Model With Varying Size Population," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-17, June.
    3. Clara Burgos & Juan-Carlos Cortés & Iván-Camilo Lombana & David Martínez-Rodríguez & Rafael-J. Villanueva, 2019. "Modeling the Dynamics of the Frequent Users of Electronic Commerce in Spain Using Optimization Techniques for Inverse Problems with Uncertainty," Journal of Optimization Theory and Applications, Springer, vol. 182(2), pages 785-796, August.
    4. M. A. Mohammed & A. I. N. Ibrahim & Z. Siri & N. F. M. Noor, 2019. "Mean Monte Carlo Finite Difference Method for Random Sampling of a Nonlinear Epidemic System," Sociological Methods & Research, , vol. 48(1), pages 34-61, February.
    5. Acedo, L. & Burgos, C. & Cortés, J.-C. & Villanueva, R.-J., 2017. "Probabilistic prediction of outbreaks of meningococcus W-135 infections over the next few years in Spain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 106-117.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:442:y:2016:i:c:p:36-49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.