A course's home page features several displays that indicate course progress and success. In this article, we'll examine all of them and show how your displays are determined.
The Progress Bars show the learner how much of the course they have accomplished, and how much of Today's Knowledge Goal has been accomplished.
Knowledge Goals are determined by dividing the amount of work in a course by the Learner's self-defined deadline. If, for example, a course has 100 knowledge points and the learner enters a 10-day deadline, each Daily Knowledge Goal will work out to 10 knowledge points. Each day it will reset to empty and fill as your learner reaches the daily goal.
The Study Plan Progress bar is more straightforward; it displays the learner's progress through the entire course.
The Percentile Rank shows the student’s performance on practice questions and quizzes, relative to all other students who have completed the content.
To determine a rank, the course calculates the student’s overall success in the course and compares that rank to all other users' success. Many factors are included in the calculation of this rank:
- number of learners in the course
- difficulty level of the questions the user has answered
- number of questions the user has answered
- how other students answered the questions
- amount of content the user has not completed
A user’s strengths and weaknesses are determined by our adaptive engine. Strengths and weaknesses are not fixed, and they constantly update based on our measurements of the skill of the user, proficiency in the specific category as well as the difficulty of the items they are answering. We are running normalized values and placing them in buckets (Beginner, Basic, Intermediate, Proficient, Advanced, Expert) based on averages and standard deviation.
Primarily, a user's performance in a particular category will inform their strength in that category. But the questions in a category have varying levels of difficulty determined by total user performance. Using standard deviation and Elo (a self-correcting formula for comparison), we can calculate a 'score' that we demonstrate as Strengths and Weaknesses.
Because of this, if all users in a particular course are struggling with Category X, a user who does marginally well in that category will demonstrate strength in that category, because they're relatively better. But if most people in the course are excelling in Category X, it will be more difficult to get an expert rating.