Metacognition in Science

By the end, the learner can

• Skill gap identification: systematically assesses personal proficiency in relevant domains such as systems analysis or solvent extraction chemistry and pursues targeted development to address gaps
• Research strategy monitoring: evaluates own problem-analysis approach during project execution and adjusts methodology when early results reveal flawed assumptions
• Management skill calibration: assesses own supervisory effectiveness by comparing intended team outcomes with actual performance data and modifying leadership approach accordingly

Session plan

1. 10 minThe caseWhere this shows up: engineering offices and labs, working with managers, engineers, technicians. Conditions to expect: analytical, precision-driven, project-based. Entry roles this maps to: Engineering Technologists and Technicians, Except Drafters, All Other, Non-Destructive Testing Specialists, Aerospace Engineering and Operations Technologists and Technicians.
   • examines own assumptions during project feasibility assessments to reduce anchoring on preferred technical solutions
   From Architectural and Engineering Managers (11-9041.00)
2. 15 minEvidence logWork the task on your own first. Support is available, but ask for it out loud so the group hears what got you stuck.
   • Tools in play: Data base user interface and query software, Analytical or scientific software, Computer aided design CAD software.
3. 10 minCompare readingsCompare answers before the debrief. Where the room split is the useful part — the split usually marks a real judgment call rather than a knowledge gap.
   • Where did two people read the same situation differently, and what did each notice?
   • Which answer would survive a supervisor asking "why did you do it that way?"
4. 10 minWhat the record showedClose the loop: what changed between the first attempt and the last, and what would have to be true for metacognition to hold up on a bad day.