Data Driven Instruction, Analytics, Reporting Tools

It was not clearly defined if the student progress data was from one of the enrolled courses. It is unclear if the data comes from one teacher or one class. 

 I made the following analysis based on the progress data.

1)  The dates were all in September, early in the fall semester.  Therefore, are these students familiar with the online protocol?  The teacher may want to call students directly and ask why the aren't accessing the class content.

2)  Approximately 50% of students are failing based student progress data.  It is reasonable to predict that there will be a 50% failure rate if the trend continues with no intervention or students will drop the course.

3)  After calling, I would set-up a synchronous class session to promote a since of community and jump start a 'buy in' to the class and its expectation.

4) I would generate a weekly check list and newsletter for students and parents.