Insights are an easy way to gain insight into the composition and results of an assignment. Insights allow the instructor to see details regarding marks, points and general characteristics of the assignment.
Follow the steps below to see where you can view your Insights.
- Click the domain School name in the menu on the left.
- Click label_importantCourses in the menu at the top.
- Select your course or use the search bar.
- Select your assignment or use the search bar.
- Click analytics Insights in the menu at the top.
- Click Overview in the menu on the left.
This brings you to the insights overview of your assignment, in which you'll find the following:
The number of exercises in the assignment.
- Maximum points
The maximum amount of points a student can receive.
- Guess score
The guess score is the number of points that can theoretically be obtained by the student by guessing. The calculation of the guess score is explained in the article on guess correction.
The guess score differs per student for randomly generated exams. If the guess score can't be calculated for the whole student population, Ans will show NaN (Not a Number).
- Randomly generated
If Flow was used in an assignment, then the assignment will be randomly generated. Only digital tests can be randomly generated.
The number of participants that took part in the assignment.
- Pass rate
The percentage of participants that received a passing mark.
- KR20 / alpha
The assignment's reliability. It has a value between 0 and 1 and a higher value means higher reliability. The KR20 is depending on the standard deviation and the amount of (in)correct answers from students. The following calculation is used for the KR20:
- Standard deviation points
The standard deviation shows the average difference in the number of points, compared with the average amount of points. This number represents the spread of the scores of the students. A higher standard deviation suggests that there are (too) many outliers. If the standard deviation is low compared to the average score, the scores are likely to be normally distributed.
- Standard measurement error
The standard measurement error shows the accuracy of the outcome of the exam. The value indicates how likely the answers of the students represent the actual knowledge of students. The standard measurement error is dependent on the standard deviation and the KR20 value. It is calculated as follows:
The marks show the minimum, maximum, average and median marks. The chart also shows the participants that passed and the participants that failed the assignment. The pass threshold is determined in the Mark calculation menu.
The points (out of) show the minimum, maximum, average and median number of points. You can move your cursor over the graph to see the student number and the number of points that the student received.
The duration (in minutes) shows the minimum, maximum, average and median duration of the test. Please keep in mind, that this option is only visible for digital tests. You can also move your cursor over the graph to see the student number and the number of minutes it took that student to complete the assignment.
error_outline Most data shown in the Insights environment are not reliable for small amounts of data (students). Keep this in mind when making conclusions based on the analytics in this overview.