Normalized scores for assessment

EAC Visual Data is an assessment tool, not a Grade Center. In fact, EAC Visual Data has no relationship with the Grade Center in Blackboard Learn™, and it does not affect student grades.

Rather, EAC Visual Data is designed to provide information that helps you improve the quality of exams and exam questions, rubrics and rubric rows, and track student performance on learning outcomes across courses and over time.

To do this, EAC Visual Data must present scores differently from the way Blackboard Learn presents scores, grades, and points. To compare student performance meaningfully across courses, sections, and over time, EAC Visual Data normalizes scores, which means it disregards all weighting and points related to each test question and each rubric row, and instead uses a normalized scoring scale.

Normalized scoring scale: All test questions, rubric rows, and average scores in EAC Visual Data are presented on a normalized scale from 0.0 (low) to 1.0 (high).

Moreover, to calculate test and item reliability statistics accurately, EAC Visual Data does not support partial credit for selected response question types like "Select all that apply" questions. Students either answer a test question correctly (earning 1.0 point) or incorrectly (earning 0.0 points).

For rubric rows, student scores are (a) normalized on a scale from 0.0 (low) to 1.0 (high); and (b) made proportional to the weight of each Level of Achievement from the Blackboard Learn rubric itself.

For example, if a rubric row in Blackboard Learn contains the following Levels of Achievements and Points:

  • Mastery = 10 points
  • Competency = 8 points
  • Developing = 2 points

Then the corresponding student scores in EAC Visual Data for that rubric row will look like this:

  • Mastery = 1 point
  • Competency = 0.8 points
  • Developing = 0.2 points

Go to must read!