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| This lesson teaches students that one's optimistic and persistent attitude towards scientific problem solving is just as important as understanding the philosophical underpinnings of the scientific method. Throughout the semester, we teach students how science or human reasoning can go awry, and it is important to balance this healthy skepticism with the optimism that iterative progress is still possible in problems big and small. Students will experience this hands-on in an activity in which they have to solve various puzzles that build upon each other. | | This lesson teaches students that one's optimistic and persistent attitude towards scientific problem solving is just as important as understanding the philosophical underpinnings of the scientific method. Throughout the semester, we teach students how science or human reasoning can go awry, and it is important to balance this healthy skepticism with the optimism that iterative progress is still possible in problems big and small. Students will experience this hands-on in an activity in which they have to solve various puzzles that build upon each other. |
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| <!-- Expandable section relating this lesson to earlier lessons. --> | | <!-- Expandable section relating this lesson to other lessons. --> |
| {{Expand|Relation to Earlier Lessons| | | {{Expand|Relation to Other Lessons| |
| | '''Earlier Lessons''' |
| {{ContextLesson|1.2 Shared Reality and Modeling}} | | {{ContextLesson|1.2 Shared Reality and Modeling}} |
| {{ContextRelation|Knowing that our perception and measurement of external reality are inevitably imperfect, it is still possible to collectively make iterative progress towards improving our understanding of the shared reality.}} | | {{ContextRelation|Knowing that our perception and measurement of external reality are inevitably imperfect, it is still possible to collectively make iterative progress towards improving our understanding of the shared reality.}} |
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| {{ContextRelation|Scientific predictions are inevitably imprecise, but the precision (and accuracy) can be numerically estimated (credence level) and iteratively improved over time.}} | | {{ContextRelation|Scientific predictions are inevitably imprecise, but the precision (and accuracy) can be numerically estimated (credence level) and iteratively improved over time.}} |
| {{ContextRelation|Persistance and a "can-do" attitude in problem solving can be developed by harboring a growth mindset and recognizing the value of iterative progress.}} | | {{ContextRelation|Persistance and a "can-do" attitude in problem solving can be developed by harboring a growth mindset and recognizing the value of iterative progress.}} |
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| <!-- Expandable section relating this lesson to later lessons. -->
| | '''Later Lessons''' |
| {{Expand|Relation to Later Lessons|
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| {{ContextLesson|8.1 Orders of Understanding}} | | {{ContextLesson|8.1 Orders of Understanding}} |
| {{ContextRelation|Understanding a complex system fully can seem intractable. Often, a first step in understanding is to make a first-order description of the system. One can then make incremental improvements by tackling second- or third-order effects.}} | | {{ContextRelation|Understanding a complex system fully can seem intractable. Often, a first step in understanding is to make a first-order description of the system. One can then make incremental improvements by tackling second- or third-order effects.}} |