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

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 i...

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Autores principales: Davies, Rhys Samuel, Davies, Marianne Julia, Groves, David, Davids, Keith, Brymer, Eric, Trench, Allan, Sykes, John Paul, Dentith, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465172/
https://www.ncbi.nlm.nih.gov/pubmed/34574692
http://dx.doi.org/10.3390/ijerph18189752
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author Davies, Rhys Samuel
Davies, Marianne Julia
Groves, David
Davids, Keith
Brymer, Eric
Trench, Allan
Sykes, John Paul
Dentith, Michael
author_facet Davies, Rhys Samuel
Davies, Marianne Julia
Groves, David
Davids, Keith
Brymer, Eric
Trench, Allan
Sykes, John Paul
Dentith, Michael
author_sort Davies, Rhys Samuel
collection PubMed
description 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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spelling pubmed-84651722021-09-27 Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective Davies, Rhys Samuel Davies, Marianne Julia Groves, David Davids, Keith Brymer, Eric Trench, Allan Sykes, John Paul Dentith, Michael Int J Environ Res Public Health Review 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. MDPI 2021-09-16 /pmc/articles/PMC8465172/ /pubmed/34574692 http://dx.doi.org/10.3390/ijerph18189752 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Davies, Rhys Samuel
Davies, Marianne Julia
Groves, David
Davids, Keith
Brymer, Eric
Trench, Allan
Sykes, John Paul
Dentith, Michael
Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title_full Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title_fullStr Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title_full_unstemmed Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title_short Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective
title_sort learning and expertise in mineral exploration decision-making: an ecological dynamics perspective
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465172/
https://www.ncbi.nlm.nih.gov/pubmed/34574692
http://dx.doi.org/10.3390/ijerph18189752
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