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A Bayesian nonparametric modelling to estimate student response to ICT investment

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  • Cabras, Stefano
  • Tena Horrillo, Juan de Dios

Abstract

This paper estimates the causal impact of investment in information andcommunication technologies (ICT) on student performances in mathematics asmeasured in the Program for International Student Assessment (PISA) 2012 for Spain.To do this we apply a new methodology in this context known as Bayesian AdditiveRegression Trees (BART) that has important advantages over more standardparametric specifications. Results indicate that ICT has a moderate positive effect onmath scores. In addition, we analyze how this effect interacts with variables related toschool features and student socioeconomic status, finding that ICT investment isespecially beneficial for students from a low socioeconomic background.

Suggested Citation

  • Cabras, Stefano & Tena Horrillo, Juan de Dios, 2014. "A Bayesian nonparametric modelling to estimate student response to ICT investment," DES - Working Papers. Statistics and Econometrics. WS ws143020, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws143020
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    Cited by:

    1. Vargas-Montoya, Luis & Gimenez, Gregorio & Fernández-Gutiérrez, Marcos, 2023. "ICT use for learning and students' outcomes: Does the country's development level matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Gregorio Gimenez & Luis Vargas-Montoya, 2021. "ICT Use and Successful Learning: The Role of the Stock of Human Capital," Mathematics, MDPI, vol. 9(14), pages 1-15, July.
    3. Prieto-Latorre, Claudia & Lopez-Agudo, Luis Alejandro & Luque, Mariano & Marcenaro-Gutierrez, Oscar David, 2022. "The ideal use of the internet and academic success: Finding a balance between competences and knowledge using interval multiobjective programming," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Ferraro, Simona, 2018. "Is information and communication technology satisfying educational needs at school?," MPRA Paper 86175, University Library of Munich, Germany.

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