Tasks
1. Who are the users? To answer this question, you will need to compile a user profile table (Table 1) with information about users, including
a. Overall practice volume and performance (e.g. # of questions answered, % of questions answered correctly)
b. Learning activity (e.g. # lectures watched, # explanation read)
c. Add three additional metrics you would like to compute to describe users
Create a few plots to illustrate the information in the tables. Feel free to choose the type of plot you think is appropriate. If it takes a long time to process all users, you may choose to process only a subset of the users. We are not looking for the correctness of the end result, but rather your process.
2. What are the questions/items? To answer this question, you will need to compile a question profile table (Table 2) with at least the following information including
a. Question ID
b. Question Type
c. Number of times being practiced
d. Number of times answered correctly
Create a few plots to illustrate the information in the tables. Feel free to choose the type of plot you think is appropriate.
3. Design a modified metric of “accuracy” to fairly describe users’ ability by considering the difficulty level derived from Table 2. Be creative. Describe the procedure to compute the metrics. Be sure to be specific so that interns can use your pseudo code to implement the metrics without much trouble. Implement the proposed metrics and plot a histogram
of the metrics across all users (or a subset of users of your choice) and interpret the results.
4. Pick a user with a reasonable amount of activity (you will need to define the “reasonableness” and specify the criteria) and create a dashboard that consists of a series of plots to tell a story of this user’s activity patterns. For inspiration, you may look at the user dashboard for fitness trackers such as Fitbit.
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