Learning Objective for Each of the Courses in a Four Year Program

as authored by Paul Stephen Prueitt, PhD
short Biography


Deep Learning Methods (background paper)





generalEducationLearningObjectives.pdf <link>





Learning Objective Grid <link to pdf>





List of Courses (this is incomplete as of Jan 2012)<link>




Austin Community College Learning Objectives (a model we might use) <link>





Generalization of a Four Year Degree <link>












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.

Skills based midterm and final exam tests will be used to measure learning outcomes.  These exams are to be generated by computer aided testing software in all lower level courses and some upper level courses (list of courses with examples of tests <link here>).

A balance between deep learning testing and skills based testing is a guiing principle throughout the testing methodology.