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PIAAC Problem Solving in Technology-Rich Environments: A Conceptual Framework

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  • PIAAC Expert Group in Problem Solving in Technology-Rich Environments

Abstract

Governments and other stakeholders have become increasingly interested in assessing the skills of their adult populations for the purposes of monitoring how well prepared they are for the challenges of the new information world. The current paper provides an overview of the conceptual framework developed for the assessment of problem solving in technology-rich environments for the OECD’s Programme for the International Assessment of Adult Competencies (PIAAC). This covers the specific class of problems that people encounter when using information and communication technologies. These include problems where the existence of the problem is a consequence of the availability of new technologies, where the solution requires the use of computer-based applications or where the problem relates to the management or use of information technologies. Les pouvoirs publics et autres parties prenantes s’intéressent de plus en plus à l’évaluation des compétences de la population adulte dans un objectif de suivi de son état de préparation face aux défis de la société moderne de la connaissance. Le présent document fournit une vue d’ensemble du cadre conceptuel en matière de résolution de problèmes dans un environnement hautement technologique du Programme pour l’évaluation internationale des compétences des adultes (PIAAC). L’évolution et le rôle des technologies de l’information dans la société d’aujourd’hui y sont présentés et la définition de la résolution de problèmes et les constructions mentales requises dans ce contexte font l’objet d’une analyse. Le cadre présente également les dimensions clés et tâches prévues en matière de résolution de problèmes, avant de souligner certains aspects pratiques de l’évaluation.

Suggested Citation

  • PIAAC Expert Group in Problem Solving in Technology-Rich Environments, 2009. "PIAAC Problem Solving in Technology-Rich Environments: A Conceptual Framework," OECD Education Working Papers 36, OECD Publishing.
  • Handle: RePEc:oec:eduaab:36-en
    DOI: 10.1787/220262483674
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    Cited by:

    1. Trapp, Stefanie & Blömeke, Sigrid & Ziegler, Matthias, 2019. "The openness-fluid-crystallized-intelligence (OFCI) model and the environmental enrichment hypothesis," Intelligence, Elsevier, vol. 73(C), pages 30-40.
    2. Perry Anja & Rammstedt Beatrice, 2016. "The Research Data Center PIAAC at GESIS," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(5), pages 581-593, October.
    3. Pankaj C. Patel & Yoav Ganzach, 2019. "Returns to balance in cognitive skills for the self-employed: evidence from 18 countries," Small Business Economics, Springer, vol. 52(1), pages 89-109, January.

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