000127005 001__ 127005
000127005 005__ 20241125101151.0
000127005 0247_ $$2doi$$a10.1016/j.seps.2023.101550
000127005 0248_ $$2sideral$$a132912
000127005 037__ $$aART-2023-132912
000127005 041__ $$aeng
000127005 100__ $$aVargas-Montoya, Luis
000127005 245__ $$aICT use for learning and students' outcomes: Does the country's development level matter?
000127005 260__ $$c2023
000127005 5060_ $$aAccess copy available to the general public$$fUnrestricted
000127005 5203_ $$aThe use of Information and Communications Technologies (ICT) in educational systems has become a policy priority over the last decades. However, empirical evidence is inconclusive on whether there is a positive relationship between ICT use and students' outcomes. The literature has largely ignored the role that the country context, and in particular the country's development level, may play in shaping this relationship. This paper empirically addresses whether the relationship between ICT use for learning at school and students' outcomes differs from developed to developing countries. We employ data for 236,540 students attending 10,193 schools in 44 countries, obtained from the OECD Programme for International Student Assessment (PISA 2018). We use two alternative measures to classify the countries by their development level: The Gross National Income (GNI) per capita and the Human Development Index (HDI). The estimations, based on a Hierarchical Linear Model, show a negative relationship between ICT use for learning at school and students' outcomes. This negative relationship is more intense for students from developing countries than for those from developed countries. These findings imply that policymakers should be cautious about replicating interventions and technological applications from developed to developing countries (and vice versa).
000127005 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000127005 590__ $$a6.2$$b2023
000127005 592__ $$a1.315$$b2023
000127005 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b12 / 106 = 0.113$$c2023$$dQ1$$eT1
000127005 593__ $$aEconomics and Econometrics$$c2023$$dQ1
000127005 591__ $$aMANAGEMENT$$b59 / 407 = 0.145$$c2023$$dQ1$$eT1
000127005 593__ $$aGeography, Planning and Development$$c2023$$dQ1
000127005 591__ $$aECONOMICS$$b32 / 600 = 0.053$$c2023$$dQ1$$eT1
000127005 593__ $$aStrategy and Management$$c2023$$dQ1
000127005 593__ $$aStatistics, Probability and Uncertainty$$c2023$$dQ1
000127005 593__ $$aManagement Science and Operations Research$$c2023$$dQ1
000127005 594__ $$a9.4$$b2023
000127005 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000127005 700__ $$0(orcid)0000-0003-3702-4017$$aGimenez, Gregorio$$uUniversidad de Zaragoza
000127005 700__ $$aFernández-Gutiérrez, Marcos
000127005 7102_ $$14014$$2225$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Economía Aplicada
000127005 773__ $$g87, Part A (2023), 101550 [13 pp.]$$pSocio-econ. plan. sci.$$tSOCIO-ECONOMIC PLANNING SCIENCES$$x0038-0121
000127005 8564_ $$s641077$$uhttps://zaguan.unizar.es/record/127005/files/texto_completo.pdf$$yVersión publicada
000127005 8564_ $$s2383365$$uhttps://zaguan.unizar.es/record/127005/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000127005 909CO $$ooai:zaguan.unizar.es:127005$$particulos$$pdriver
000127005 951__ $$a2024-11-22-12:06:44
000127005 980__ $$aARTICLE