Learning under Uncertainty: A grounded theory study

Abstract : This paper discusses learning under uncertainty; starting from a vision of how to support systems working within information systems, helping decision-making under uncertainty. The first results show the concept of learning under uncertainty. Then a change for a qualitative research approach was taken using Grounded Theory Methodology. The results are presented in a framework that represents a basic theory of learning under uncertainty process. This framework presents learning under uncertainty throw a tacit and operational learner capacities and a cognitive and impact on the learner. It also shows how uncertainty is sensed in order to start the learning process. Learning under uncertainty could be summarized through the use of a human approach, dialogue and interaction within social-actors in the uncertain context.
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Communication dans un congrès
Nicholas Reynolds; Márta Turcsányi-Szabó. IFIP TC 3 International Conference on Key Competencies in the Knowledge Society (KCKS) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-324, pp.246-256, 2010, Key Competencies in the Knowledge Society. 〈10.1007/978-3-642-15378-5_24〉
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Eurico Lopes. Learning under Uncertainty: A grounded theory study. Nicholas Reynolds; Márta Turcsányi-Szabó. IFIP TC 3 International Conference on Key Competencies in the Knowledge Society (KCKS) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-324, pp.246-256, 2010, Key Competencies in the Knowledge Society. 〈10.1007/978-3-642-15378-5_24〉. 〈hal-01054696〉

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