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One aspect of analyzing a community is figuring out who is contributing to the community and how. In the online world, services like Klout and Peerindex do this for people; algorithms like PageRank and EdgeRank do this for content. Unsurprisingly, the class grading system, or Collective Intelligence Contribution Index (CI2), is inspired by these metrics.

The goal of CI2 is to fairly model the contribution of each student to the course. CI2 will be based on participation, homework assignments, and the class project. Like the systems on which it is based, the specific signals used by CI2 and the way those signals are combined will be kept hidden from students. However, the score will always be visible to students.

Roughly, the project will be the single largest factor in the grade at roughly 50%, participation will count for roughly 30%, and homework roughly 20%. The factors will be adjusted over the course of the semester to capture the quality of students’ contributions.

At the end of the course, the entire workings of the system will be disclosed when the grades are released.