Learning Points is a beta feature for MATHiaFlex. This means we are still testing the feature and making improvements.
Learning Points is a metric that takes into account a student’s performance (including skill mastery), completion time, and error rate on a given workspace. This metric provides both the teacher and student with insight into how well the student performed against other MATHia students who have completed the same workspace. Learning Points can be used as a confidence metric that shows you how well the student understood the concepts presented in the topic.
Factors that contribute to how Learning Points are earned:
- Skill mastery: If a student hasn’t mastered all of the skills in the workspace, he/she will have lower Learning Points.
- Pace/Time: A student who takes significantly longer than the average MATHia student is typically showing signs of struggling, so he/she will have lower Learning Points.
- Hints: A student who uses more hints (assistance) than the average student will have lower Learning Points. This indicates that the student needed more assistance to complete the problems in the workspace.
- Errors: A student who makes a lot of errors will have lower Learning Points. As students learn, we expect them to make errors, so errors made towards the end of a workspace have a higher weighting than those made earlier.
Comparing Learning Points
- If one workspace is worth more Learning Points than another, it can be assumed it will take a longer amount of time and/or will be more challenging.
- In the above example, the Fractional Percent Models workspace will likely take more time and effort than the Converting with Fractional Percents workspace.
- Bundles have cumulative Learning Points, based on the Learning Points for each individual workspaces.
How should teachers use Learning Points?
- Learning Points should be used as a performance indicator. A student who completes or masters a workspace while accumulating fewer learning points may have:
- Taken longer to complete the workspace than other students.
- Made more errors than other students in the same workspace.
- Used more hints than other students in the same workspace.
- All of the above