The current Information Society requires new skills for personal, labor and social inclusion. Among the so-called Twenty-First Century Skills (Care et al. (eds) in Assessment and teaching of 21st century skills, Springer, New York, 2018) is Problem Solving in Technology Rich Environments (PS-TRE) competence evaluated in PISA and PIAAC tests (OECD in Survey of adult skills (PIAAC). Retrieved from https://goo.gl/cpb3fQ (2016)). This skill, although currently receiving considerable attention in compulsory education, has not received the same level of thought in the case of adult education. In this article, the presence of the PS-TRE skill among adults of working age (25–65 years) in Europe is analysed in relation to the factors that potentially affect a higher score in this skill. This analysis is carried out using structural equations modelling, taking into account socio-personal and educational factors, as well as the use of different skills in work and daily life. The results indicate that educational level and the use of different skills (reading, numerical, related to ICT) at home and at work, as well as participation in non-formal education activities, decisively relate to a higher level of PS-TRE. This result is positively mediated through risk factors such as being older or being a woman. This study concludes that it is necessary to reinforce these skills, not only in children, but also in the adult population, in order to avoid social and labour exclusion.
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To avoid an excessively long and complex paper, the different models tested from the initial model by Scadurra and Calero have not been included. The criteria for defining the final model have been based only on significant relations among the variables (p < 0.001), with the aim to get a stronger and more optimal model.
Akcaoglu, M., & Koehler, M. J. (2014). Cognitive outcomes from the Game-Design and Learning (GDL) after-school program. Computers & Education, 75, 72–81.
Ballestero, F. (2002). La brecha digital. El riesgo de exclusión en la Sociedad de la Información (Fundación Retevisión).
Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education—Implications for policy and practice; EUR 28295 EN; https://doi.org/10.2791/792158.
Boeren, E. (2009). Adult education participation: the Matthew principle. Filosofija-Sociologija, 20(2), 154–161.
Boeren, E. (2016). Lifelong learning participation in a changing policy context: An interdisciplinary theory. London: Palgrave-Macmillan.
Bowles, S., Gintis, H., & Osborne, M. (2001). The determinants of earnings: A behavioral approach. Journal of Economic Literature, 39(4), 1137–1176.
Breen, R., & Karlson, K. B. (2014). Education and social mobility: New analytical approaches. European Sociological Review, 30(1), 107–118.
Bukodi, E., & Goldthorpe, J. H. (2012). Decomposing “social origins”: The effects of parents’ class, status, and education on the educational attainment of their children. European Sociological Review, 29(5), 1024–1039.
Byrne, B. (2010). Structural equation modeling with AMOS. London: Routledge.
Calero, J., Murillo Huertas, I., & Raymond Bara, J. L. (2016). Education, age and skills: An analysis using the PIAAC survey. Working paper 2016/03 (Barcelona, IEB).
Carbonaro, W. (2007). The effects of education and cognitive skill on earnings: How much do occupations and jobs matter? Research in Social Stratification and Mobility, 25(1), 57–71.
Care, E. (2018). Twenty-first century skills: From theory to action. In E. Care, G. Griffin, & M. Wilson (Eds.), Assessment and teaching of 21st century skills. Springer: New York.
Care, E., Griffin, G., & Wilson, M. (Eds.). (2018). Assessment and teaching of 21st century skills. New York: Springer.
Castells, M. (2002). The information age: Economy, society and culture. Oxford: Blackwell Publishing.
Christl, M., & Köppl-Turyna, M. (2017). Gender wage gap and the role of skills: Evidence from PIAAC dataset, GLO discussion paper, 63.
Collins, H., & Evans, R. (2007). Rethinking expertise. Chicago: University of Chicago Press.
Compaine, B. (2001). Digital divide. Cambridge, Massachussets: The MIT Press.
Csapó, B., & Funke, J. (Eds.). (2017). The nature of problem solving. Using research to inspire 21st century learning. Paris: OECD Publishing.
Cunha, F., & Heckman, J. (2007). The technology of skill formation. American Economic Review, 97(2), 31–47.
Cunha, F., Heckman, J., & Schennach, S. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, Econometric Society, 78(3), 883–931.
Desjardins, R. (2003). Determinants of literacy proficiency: A lifelong–lifewide learning perspective. International Journal of Educational Research, 39, 205–245.
Desjardins, R., & Warnke, A. J. (2012). Ageing and skills. A review and analysis of skill gain and skill loss over the lifespan and over time. Paris: OECD.
Estefanía, J. (2003). La cara oculta de la prosperidad Economía para todos. Madrid: Taurus.
Eurostat. (2017). Population data. http://ec.europa.eu/eurostat/web/products-datasets/-/migr_pop3ctb. Accessed 12 May 2018.
Flyvberg, B. (2001). Making social science matter. Why social inquiry fails and how it can succeed again. Cambridge: Cambridge University Press.
Goos, M. (2013). How the world of work is changing: A review of the evidence, ILO research paper, pp. 1–54. www.ilo.org/public/english/dialogue/actemp/downloads/events/2013/symp/how_worldofwork_changing.pdf. Accessed 12 May 2018.
Griffin, P., McGaw, B., & Care, E. (Eds.). (2012). Assessment and teaching of 21st century skills. Dordrecht: Springer.
Habermas, J. (1987). Teoría de la acción comunicativa. Vol. I. Racionalidad de la acción y racionalización social. Vol. II. Crítica de la razón funcionalista. Madrid: Taurus.
Hämäläinen, R., De Wever, B., Malin, A., & Cincinnato, S. (2015). Education and working life: VET adults’ problem-solving skills in technology-rich environments. Computers & Education, 88, 38–47.
Hämäläinen, R., De Wever, B., Nissinen, K., & Cincinnato, S. (2017). Understanding adults’ strong problem-solving skills based on PIAAC. Journal of Workplace Learning, 29(7/8), 537–553. https://doi.org/10.1108/JWL-05-2016-0032.
Hanushek, E. A. (2015). Returns to skills around the world: Evidence from PIAAC. European Economic Review, 73, 103–130.
Harris, K. (2015). Integrating digital literacy into English language instruction: Issue brief. https://goo.gl/XWpyWG. Accessed 12 May 2018.
Harteis, C., & Billett, S. (2013). Intuitive expertise: Theories and empirical evidence. Educational Research Review, 9, 145–157.
Holford, J., & Mohorčič Špolar, V. A. (2012). Neoliberal and inclusive themes in European lifelong learning policy. In S. Riddell, J. Markowitsch, & E. Weedon (Eds.), Lifelong learning in Europe: Equity and efficiency in the balance. Bristol: Policy Press.
Iñiguez-Berrozpe, T., Marcaletti, F. (2017). Más allá de las TIC. Aprendizaje Permanente para una Sociedad de la Información Inclusiva. Revista Digital EnTERA2.0, 5, 39–53.
Iñiguez-Berrozpe T., Valero-Errazu, D., Elboj-Saso, C. (2018). Hacia una Sociedad de la Información inclusiva. Competencia tecnológica y habilidades relacionadas con las Tecnologías de la Información y la Comunicación (TIC) de los adultos maduros. Revista Mediterránea de Comunicación, 9(2), 25–40.
Isphording, I. E. (2014). Disadvantages of linguistic origin—Evidence from immigrant literacy scores. Economics Letters, 123(2), 236–239.
Jacobson, E. (2012). Adult basic education in the age of new literacies. New Literacies and Digital Epistemologies. New York: Peter Lang.
Jerrim, J., & Macmillan, L. (2015). Income inequality, intergenerational mobility, and the Great Gatsby curve: Is education the key? Social Forces, 94(2), 1–29.
Kerckhoff, A. C. (2001). Education and social stratification processes in comparative perspective. Sociology of Education, 74, 3–18.
Marks, G. N. (2006). Accounting for immigrant non-immigrant differences in reading and mathematics in twenty countries. Ethnic and Racial Studies, 28(3), 925–946.
Newman, A., Rosbash, T., & Sarkisian, L. (2015). Learning for life: The opportunity for technology to transform adult education. Tyton Partners. http://tytonpartners.com/tyton-wp/wp-content/uploads/2015/03/Learning-for-Life_The-Oppty-for-Tech-to-Transform-Adult-Education_March-20151.pdf. Accessed 12 May 2018.
OECD. (2009). PIAAC problem solving in technology-rich environments: A conceptual framework. https://goo.gl/drJRML. Accessed 12 May 2018.
OECD. (2012). Literacy, numeracy and problem solving in technology-rich environments: Framework for the OECD survey of adult skills. Paris: OECD Publishing. https://doi.org/10.1787/9789264128859-en. Accessed 12 May 2018.
OECD. (2013). OECD skills outlook 2013: First results from the survey of adult skills. OECD Publishing. https://goo.gl/3BtmvS. Accessed 12 May 2018.
OECD. (2016). Survey of adult skills (PIAAC). Retrieved from https://goo.gl/cpb3fQ. Accessed 12 May 2018.
P21-Partnership for 21st Century Learning. (2017). P21’s framework for 21st century learning. https://goo.gl/Y58DGn. Accessed 12 May 2018.
Pérez, E., Medrano, L. A., & Sánchez Rosas, J. (2013). El Path Analysis: Conceptos básicos y ejemplos de aplicación. Revista Argentina de Ciencias del Comportamiento, 5(1), 52–66.
Rampey, B. D., Finnegan, R., Goodman, M., Mohadjer, L., Krenzke, T., Hogan, J., et al. (2016). Skills of U.S. unemployed, young, and older adults in sharper focus: Results from the Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: First Look (NCES 2016-039). Washington DC: American Institutes for Research.
Reder, S. (2015). Digital inclusion and digital literacy in the United States: A portrait from PIAAC’s Survey of Adult Skills. Washington DC: American Institutes for Research.
Scandurra, R., & Calero, J. (2017). Modelling adult skills in OECD countries. British Educational Research Journal, 43(4), 781–804.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodnessof-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
Trawick, A. R. (2017). Using the PIAAC literacy framework to guide instruction: An introduction for adult educators. Washington, DC: PIAAC.
Tynjälä, P. (2013). Toward a 3-P model of workplace learning: A literature review. Vocations and Learning: Studies in Vocational and Professional Education, 6(1), 11–36.
Tynjälä, P., Häkkinen, P., & Hämäläinen, R. (2014). TEL@work—Towards integration of theory and practice. British Journal of Educational Technology, 45(6), 990–1000.
Van Greunen, D., & Steyn, J. (2015). ICTs for inclusive communities in developing societies. London: Cambridge Scholars Publishing.
Vandenberg, R. J. (2006). Statistical and methodological myths and urban legend. Organizational Research Methods, 9(2), 194–201.
Vanek, J. (2017). Using the PIAAC framework for problem solving in technology-rich environments to guide instruction: An introduction for adult educators. Washington, DC: PIAAC.
Voskoglou, M. G., & Buckley, S. (2012). Problem solving and computational thinking in a learning environment. Egyptian Computer Science Journal (ECS), 36(4), 28–46.
Wing, J. (2014). Computational thinking benefits society. Social issues in computing. http://socialissues.cs.toronto.edu/2014/01/computational-thinking. Accessed 12 May 2018.
Yadav, A., Good, J., Voogt, J., & Fisser, P. (2017). Computational thinking as an emerging competence domain. In M. Mulder (Ed.), Competence-based vocational and professional education. Switzerland: Springer.
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See Table 5.
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Iñiguez-Berrozpe, T., Boeren, E. Twenty-First Century Skills for All: Adults and Problem Solving in Technology Rich Environments. Tech Know Learn 25, 929–951 (2020). https://doi.org/10.1007/s10758-019-09403-y