Difference between revisions of "CS382:Attributes-guidelines"
Jump to navigation
Jump to search
| Line 21: | Line 21: | ||
** Metric system | ** Metric system | ||
** OSX, Windows, Linux whenever possible (lab sizes and locations) | ** OSX, Windows, Linux whenever possible (lab sizes and locations) | ||
| − | ** Classroom response system | + | ** Classroom response system - questions for each unit, participation/attendance measured by response rate? |
Mechanical and structural stuff: | Mechanical and structural stuff: | ||
Revision as of 07:39, 4 February 2009
In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component. The full description is here: http://www.earlham.edu/curriculumguide/academics/analytical.html
There are a number of themes that run through the units:
- Quantitative reasoning
- Using models, modifying models, developing models
- Validation and verification
- Using tools, broadly defined
- Data -> information -> knowledge
- Algorithmic thinking
- Abstraction
- Computational thinking
The units should have the following attributes, for the pedagogical ones all units should try to adhere to them, for the others we just need to make sure at least one unit covers them.
- Pedagogical
- Inquiry based learning
- Scaffolded
- Open-ended to a degree
- Using science to illustrate the diversity and complexity of the world around us
- Structural
- Metric system
- OSX, Windows, Linux whenever possible (lab sizes and locations)
- Classroom response system - questions for each unit, participation/attendance measured by response rate?
Mechanical and structural stuff:
- Scales well, say 20-80 students
- Automated assessment tools
- Effective use of TAs
