| Deep
Learning Methods (background
paper) |
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| generalEducationLearningObjectives.pdf
<link> |
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| Learning
Objective
Grid <link to pdf> |
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| List of Courses (this is incomplete as of Jan 2012)<link> | |||||
| Austin
Community
College
Learning Objectives (a model we might use) <link> |
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| Generalization
of a Four Year Degree <link> |
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Community Based
Collaboration
Self-organized
peer-to-peer
learning
creates
a
new
dimension
to
the
study
of
mathematics
at
adopting
colleges.
Each
semester,
students
will
build a
repository of class
notes. These class notes will each be judged against a Learning Objective Grid, (LOG)
without individually identifing iformation, so that all members of the
class see how each class note is judged against the LOG. As the Bridge
Proposals gather stream, we
hope to see the following: 1)
Each
semester, an upper list of names of topics would be included in the
course
syllabus. This upper list will be
extended using a two-level topic taxonomy. 2)
Each
semester, the course would start with no topics in the focus topic
repository. 3)
Students
will meet to review video and to work on video clip submission to the
professor. 4)
Students
might prize note taking, even though all posting to the community of
practice
will always be missing name and voice. Topics
would develop both in number and as additional notes on a specific
topic is
submitted. A balance between deep learning testing and skills based testing is a guiing principle throughout the testing methodology. |