There are about 50 or more data types in Scholar. Here are some:

  • A computer suggestion, such as a writing suggestion that includes an explanation of the reason for that suggestion.
  • One peer idea against a review criterion.
  • One coded self-annotation.
  • One comment in a virtual class discussion.
  • A response to a question that has a right or wrong answer.

Big data means a lot of little data. Thousands of datapoints can become as many as a million:

  • In one student’s high school or middle school experience, or college degree experience, using Scholar for most of their subjects or courses.
  • In one teacher’s year, across all their classes.
  • In one school’s week, across all students.