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

Area of Science:

• Geosciences
• Cognitive Science
• Organizational Psychology

Background:

• Declining discovery rates of world-class ore deposits pose a significant threat to future global metal supply.
• Mineral exploration must increasingly occur in challenging, uncertain, and remote environments, increasing task and environmental complexity.
• Behavioral challenges in information perception, interpretation, and decision-making by geoscientists are critical concerns.

Purpose of the Study:

• To introduce the Dynamics model as a diagnostic tool for situational analysis in mineral exploration.
• To provide a guiding framework for designing work and training environments to maximize exploration performance.
• To address the behavioral challenges faced by geoscientists in complex exploration settings.

Main Methods:

• The Dynamics model is based on an Ecological Dynamics framework.
• It integrates Newell's Constraints model and Self-Determination Theory.
• The model incorporates feedback loops to define an autopoietic system for situational analysis.

Main Results:

• The Dynamics model highlights key areas for improving exploration quality.
• Needs-supportive work environments fostering autonomy and risk-taking are crucial.
• Understanding motivational contexts, including cultural influences, is important for behavior.

Conclusions:

• Effective goal-setting in corporate strategies is vital for directing exploration activities.
• Practical, representative scenario-based training with digital feedback enhances expertise.
• Implementing the Dynamics model can improve geoscientist performance and exploration success.