Subject: [LON-CAPA-dev] Features for classifying the students

From: "B. Minaei" <[email-masked]>
Date: Wed, 3 Jul 2002 19:54:26 -0400

Hello everybody,

By this time we have used 5 features in classifying the students in one of the LON-CAPA courses (PHY183 SS02) for data mining stuff. The goal of this classification is to predict the students' final grade from their homework sets.

1.       Number of correct answers. 

2.       Number of tries to solve the problems

3.       Time spent till get the problem correct.

4.    Getting the problem right on the first try, vs. those with high number of tries.

5.       Participating in the communication mechanisms, vs. those working alone.

I will try to test two other important features in other courses which their activity.log has the related data.

6.       Reading the material before attempting homework vs. attempting first and then read up on it.

7.       Submitting a lot of attempts in a short amount of time without looking up material in between, vs. those giving it one try, reading up, submitting another one, etc.

Please let me know if you have any suggestion about the features could be extracted from the student data or activity.log, which might be useful for classifying the students.

Thanks
Behrouz