DataShop @CMU

Table of Contents

1. What is DataShop?
2. Getting Data In
   1. Logging New Data
   2. Importing New Data
      1. Tab-delimited format
      2. XML format
3. Accessing DataShop
   1. Requesting Dataset Access
4. Project / Dataset Administration
   1. IRB & Data Shareability
   2. Creating new Datasets from existing Samples
5. Citing DataShop and Datasets
6. Glossary
7. Reports
   1. Dataset Info
      1. Overview
      2. Samples
      3. KC Models
      4. Custom Fields
      5. Problem List
      6. Step List
      7. Problem Content
   2. Files
   3. Performance Profiler
   4. Error Report
   5. Learning Curve
      1. Examples
      2. Algorithm
      3. Student-Step Rollup
      4. Model Values
   6. Workflows
8. Filtering Data
   1. By student, KC, and problem
   2. Sample Selector
9. Export: Getting Data Out
   1. Export Format History
10. Using Other Tools
    1. External Tools
    2. R (software)
    3. Excel PivotTables
11. Advanced
    1. Web Services Credentials
       1. User Agreement
    2. Logging Activity
    3. Metrics
12. Examples
13. Contact Us

Filtering Data

Filter data in DataShop using the controls running vertically along the left side of the screen. Each control provides a method for filtering the data that is included in the current report.

You can filter data by:

• Sample (created and edited via the Sample Selector)—provides the ability to filter on various aspects of the data. Some tools in DataShop support comparing across samples (such as the Learning Curve and Performance Profiler tools).
• Knowledge Components (KCs)—include only data that are associated with any of the selected knowledge components. Save the set of selected KCs for sharing with collaborators.
• Students—include only data that are associated with any of the selected students.
• Problems—include only data that are associated with any of the selected problems.

Each filtering choice you make combines with the other filters to control which data are included in the current report.

Filtering by Knowledge Components

Select knowledge components to include in the current report by selecting them in the "Knowledge Components" navigation box. If a knowledge component box is checked, all transactions associated with that knowledge component will be included in the current report.

KC Sets

Save your current selected set of knowledge components by using the Manage KC Sets dialog. Launch the Manage KC Sets by clicking the wrench icon ()at the top of the "Knowledge Components" navigation box.

From the Manage KC Sets dialog, you can save the set of selected KCs. (Selected KCs are indicated with checkmarks next to their name in the navigation panel, and with dark borders around their thumbnails on the Learning Curve report.) By saving a set, you'll be able to load the set again at anytime, and share it with collaborators.

You might create a set to:

• Examine a subset of KCs across conditions
• Remove KCs that aren't worth investigating or including in reports because they are too easy or otherwise irrelevant.
• Quickly toggle between sets of KCs
• Isolate common KCs between study conditions
• Examine only some KCs that appear in a single condition

KC Sets are always shared with others who can access the dataset. If a person doesn't own a set, however, he or she can only load the set, not delete or rename it.

Filtering by Students and Problems

Select students to include in the current report by selecting them in the "Students" navigation box. If a student box is checked, all transactions associated with that student will be included in the current report.

Select problems to include in the current report by selecting them in the "Problems" navigation box. If a problem box is checked, all transactions associated with that problem will be included in the current report.