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Review

Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective

1
Business School, The University of Western Australia, Perth, WA 6009, Australia
2
Centre for Sport & Exercise Science, Sheffield Hallam University, Sheffield S10 2BP, UK
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Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, WA 6009, Australia
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Faculty of Health, Gold Coast Campus, Southern Cross University, Gold Coast, QLD 4225, Australia
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School of Earth Sciences, The University of Western Australia, Perth, WA 6009, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Martin Burtscher and Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(18), 9752; https://doi.org/10.3390/ijerph18189752
Received: 13 August 2021 / Revised: 7 September 2021 / Accepted: 14 September 2021 / Published: 16 September 2021
(This article belongs to the Special Issue Health, Wellbeing and Performance in Extreme Environments)
The declining discovery rate of world-class ore deposits represents a significant obstacle to future global metal supply. To counter this trend, there is a requirement for mineral exploration to be conducted in increasingly challenging, uncertain, and remote environments. Faced with such increases in task and environmental complexity, an important concern in exploratory activities are the behavioural challenges of information perception, interpretation and decision-making by geoscientists tasked with discovering the next generation of deposits. Here, we outline the Dynamics model, as a diagnostic tool for situational analysis and a guiding framework for designing working and training environments to maximise exploration performance. The Dynamics model is based on an Ecological Dynamics framework, combining Newell’s Constraints model, Self Determination Theory, and including feedback loops to define an autopoietic system. By implication of the Dynamics model, several areas are highlighted as being important for improving the quality of exploration. These include: (a) provision of needs-supportive working environments that promote appropriate degrees of effort, autonomy, creativity and technical risk-taking; (b) an understanding of the wider motivational context, particularly the influence of tradition, culture and other ‘forms of life’ that constrain behaviour; (c) relevant goal-setting in the design of corporate strategies to direct exploration activities; and (d) development of practical, representative scenario-based training interventions, providing effective learning environments, with digital media and technologies presenting decision-outcome feedback, to assist in the development of expertise in mineral exploration targeting. View Full-Text
Keywords: mineral exploration; ecological dynamics; expertise; needs-supportive environment; representative learning design mineral exploration; ecological dynamics; expertise; needs-supportive environment; representative learning design
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MDPI and ACS Style

Davies, R.S.; Davies, M.J.; Groves, D.; Davids, K.; Brymer, E.; Trench, A.; Sykes, J.P.; Dentith, M. Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective. Int. J. Environ. Res. Public Health 2021, 18, 9752. https://doi.org/10.3390/ijerph18189752

AMA Style

Davies RS, Davies MJ, Groves D, Davids K, Brymer E, Trench A, Sykes JP, Dentith M. Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective. International Journal of Environmental Research and Public Health. 2021; 18(18):9752. https://doi.org/10.3390/ijerph18189752

Chicago/Turabian Style

Davies, Rhys S., Marianne J. Davies, David Groves, Keith Davids, Eric Brymer, Allan Trench, John P. Sykes, and Michael Dentith. 2021. "Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective" International Journal of Environmental Research and Public Health 18, no. 18: 9752. https://doi.org/10.3390/ijerph18189752

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