Is information and communication technology satisfying educational needs at school?

Ferraro, Simona

Is information and communication technology satisfying educational needs at school?

MPRA Paper from University Library of Munich, Germany

Abstract: This paper assesses how the integration of ICT in education has affected the mathematics test scores for Italian students measured by the Programme for International Student Assessment 2012 data. The problem of endogeneity that affects survey data in this area, is addressed by applying the Bayesian Additive Regression Trees (BART) methodology as in Cabras & Tena Horrillo (2016). The BART methodology needs a prior and likelihood functions using the Markov Chain Monte Carlo (MCMC) algorithm to obtain the posterior distribution. Controlling for socioeconomic, demographic and school factors, the predicted posterior distribution implies an increase, on average, of 16 points in the test scores. The result indicates that the use of ICT at school has a positive and strong impact on mathematic test scores.

Keywords: ICT Bayesian additive regression tree Posterior distribution; PISA (search for similar items in EconPapers)
JEL-codes: C25 I20 O33 (search for similar items in EconPapers)
Date: 2018-04-12
New Economics Papers: this item is included in nep-edu, nep-eur and nep-ict
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Citations: View citations in EconPapers (3)

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https://mpra.ub.uni-muenchen.de/87040/1/MPRA_paper_87040.pdf revised version (application/pdf)

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