Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Screening a Case Base for Stroke Disease Detection Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree

Authors : Concepción Crespo-Turrado, José Luis Casteleiro-Roca, Fernando Sánchez-Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, José Luis Calvo-Rolle, Emilio Corchado

Published in: Hybrid Artificial Intelligent Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Nowadays the student performance and its evaluation is a challenge in general terms. Frequently, the students’ scores of a specific curriculum have several fails due to different reasons. In this context, the lack of data of any of student scores adversely affects any future analysis to be done for achieving conclusions. When this occurs, a data imputation process must be performed in order to substitute the data that is missing for estimated values. This paper presents a comparison between two data imputation methods developed by the authors in previous researches, the Adaptive Assignation Algorithm (AAA) based on Multivariate Adaptive Regression Splines (MARS) and other technique called Multivariate Imputation by Chained Equations (MICE). The results obtained demonstrate that the proposed methods allow good results, specially the AAA algorithm.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Feature Selection Using Approximate Multivariate Markov Blankets
next chapter Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
Literature
1.
2.
Francisco, H.G.: Ferreira and jérémie gignoux. the measurement of educational inequality: achievement and opportunity. World Bank Econ. Rev. 28(2), 210–246 (2014). first published online February 20, 2013 doi:10.1093/wber/lht004CrossRef
3.
Grissom, J.A., Kalogrides, D., Loeb, S.: Using student test scores to measure principal performance. Educ. Eval. Policy Anal. 37, 3–28 (2015). first published on March 10, 2014 doi:10.3102/0162373714523831CrossRef
4.
López-Vázquez, J.A., Orosa, J.A., Calvo-Rolle, J.L., Cos Juez, F.J., Castelerio-Roca, J.L., Costa, A.M.A: New way to improve subject selection in engineering degree studies. In: International Joint Conference: CISIS 2015 and ICEUTE 2015 (2015) doi:10.​1007/​978-3-319-19713-5_​47
5.
Kokkinos, C.M., Kargiotidis, A., Markos, A.: The relationship between learning and study strategies and big five personality traits among junior university student teachers. Learn. Individ. Differ. 43, 39–47 (2015). ISSN 1041-6080, doi: 10.1016/j.lindif.2015.08.031CrossRef
6.
Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Nat. Acad. Sci. 111(23), 8410–8415 (2014)CrossRef
7.
8.
Anderman, E.M., Gimbert, B., O’Connell, A.A., Riegel, L.: Approaches to academic growth assessment. Br. J. Educ. Psychol. 85(2), 138–153 (2015)CrossRef
9.
Calvo-Rolle, J.L., Machón-Gonzalez, I., López-Garcia, H.: Neuro-robust controller for non-linear systems. Dyna 86(3), 308–317 (2011). doi:10.​6036/​3949 CrossRef
10.
Ghanghermeh, A., Roshan, G., Orosa, J.A., Calvo-Rolle, J.L., Costa, Á.M.: New climatic indicators for improving urban sprawl: a case study of Tehran City. Entropy 15(3), 999–1013 (2013)CrossRef
11.
Alaiz Moretón, H., Calvo Rolle, J.L., García, I., Alonso Alvarez, A.: Formalization and practical implementation of a conceptual model for PID controller tuning. Asian J. Control 13(6), 773–784 (2011)CrossRefMATH
12.
Casteleiro-Roca, J.L., Calvo-Rolle, J.L., Meizoso-López, M.C., Piñón-Pazos, A.J., Rodríguez-Gómez, B.A.: Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump. Neurocomputting 150, 90–98 (2015)CrossRef
13.
Casteleiro-Roca, J.L., Quintián, H., Calvo-Rolle, J.L., Corchado, E., Meizoso-López, M.C., Piñón-Pazos, A.: An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger. J. Appl. Logic (2015)
14.
Osborn, J., CosJuez, F.J., Guzman, D., Butterley, T., Myers, R., Guesalaga, A.: Using artificial neural networks for open-loop tomography. Opt. Express 20(3), 2420–2434 (2012)CrossRef
15.
Guzmán, D., Cos Juez, F.J., Myers, R., Guesalaga, A., Sánchez-Lasheras, F.: Modeling a MEMS deformable mirror using non-parametric estimation techniques. Opt. Express 18(20), 21356–21369 (2010)CrossRef
16.
Cos Juez, F.J., Sánchez-Lasheras, F., García Nieto, P.J., Suárez Suárez, M.A.: A new data mining methodology applied to the modelling of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women. Int. J. Comput. Math. 86(10–11), 1878–1887 (2009)CrossRefMATH
17.
García Nieto, P.J., Alonso Fernández, J.R., Sánchez Lasheras, F., Cos Juez, F.J., Díaz Muñiz, C.: A new improved study of cyanotoxins presence from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) using the MARS technique. Sci. Total Environ. 430, 88–92 (2012)CrossRef
18.
Crespo Turrado, C., Sánchez Lasheras, F., Calvo-Rolle, J.L., Piñón-Pazos, A.J., de Cos Juez, F.J.: A new missing data imputation algorithm applied to electrical data loggers. Sensors 15, 31069–31082 (2015). doi:10.​3390/​s151229842 CrossRef
19.
Turrado, C., López, M., Lasheras, F., Gómez, B., Rollé, J., Juez, F.: Missing data imputation of solar radiation data under different atmospheric conditions. Sensors 14 (2014). doi:10.​3390/​s141120382
20.
Van Buuren, S., Groothuis-Oudshoorn, K.: Mice: multivariate imputation by chained equations in R. J. Stat. Softw. 45, 3 (2011)CrossRef
21.
Tierny, L.: Introduction to general state-space Markov chain theory. In: Gilks, W.R., Richardson, S., Spiegelhalter, D.J. (eds.) Markov Chain Monte Carlo in Practice, pp. 59–71. Chapman & Hall, London (1996)
22.
23.
Liu, Y., Brown, S.D.: Comparison of five iterative imputation methods for multivariate classification. Chemom. Intell. Lab. 120, 106–115 (2013)CrossRef
24.
Perez, R., Lorenz, E., Pelland, S., Beauharnois, M., van Knowe, G., Hemker, K., Heinemannb, D., Remunde, J., Müllere, S.C., Traunmüllerf, W., et al.: Comparison of numerical weather prediction solar irradiance forecasts in the US. Can. Eur. Sol. Energy 94, 305–326 (2013)CrossRef
25.
Gutierrez-Corea, F.V., Manso-Callejo, M.A., Moreno-Regidor, M.P., Velasco-Gómez, J.: Spatial estimation of sub-hour global horizontal irradiance based on official observations and remote sensors. Sensors 14, 6758–6787 (2014)CrossRef
26.
Tiengrod, P., Wongseree, W.: A comparison of spatial interpolation methods for surface temperature in Thailand. In: Proceedings of the International Computer Science and Engineering Conference (ICSEC), Nakorn Pathom, Thailand, 4–6 September 2013, pp. 174–178
27.
28.
García Nieto, P.J., Alonso Fernández, J.R., de Cos Juez, F.J., Sánchez Lasheras, F., Díaz Muñiz, C.: Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain). Environ. Res. 122 (2013) doi:10.​1016/​j.​envres.​2013.​01.​001
29.
Quintian, H., Calvo-Rolle, J.L., Corchado, E.: A hybrid regression system based on local models for solar energy prediction. Informatica. 25 (2014) doi:10.15388/Informatica.2014.14
30.
Manuel Vilar-Martinez, X., Montero-Sousa, J.A., Calvo-Rolle, J.L., Casteleiro-Roca, J.L.: Expert system development to assist on the verification of “TACAN” system performance. Dyna. 89 (2014) doi:10.​6036/​5756
Metadata
Title
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree
Authors
Concepción Crespo-Turrado
José Luis Casteleiro-Roca
Fernando Sánchez-Lasheras
José Antonio López-Vázquez
Francisco Javier de Cos Juez
José Luis Calvo-Rolle
Emilio Corchado
Copyright Year
2016
Book
Hybrid Artificial Intelligent Systems

Print ISBN: 978-3-319-32033-5

Electronic ISBN: 978-3-319-32034-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-32034-2_11

Premium Partner

    Image Credits