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Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
Journal article   Open access   Peer reviewed

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

Rhys Samuel Davies, Marianne Julia Davies, David Groves, Keith Davids, Eric Brymer, Allan Trench, John Paul Sykes and Michael Dentith
International Journal of Environmental Research and Public Health, Vol.18, 9752
01/09/2021
DOI: https://doi.org/10.3390/ijerph18189752
PMID: 34574692
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Published (Version of record)CC BY V4.0,  Open Access
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Abstract

ecological dynamics expertise needs-supportive environment representative learning design Mineral Exploration
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.

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