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

Metrics

The metrics report provides an overview of the quantity of data in DataShop, organized by domain and Pittsburgh Science of Learning Center (PSLC) LearnLab.

All of the fields in this report are shown on the Dataset Info / Overview page for each dataset. From the Dataset Info / Overview and Papers and Files pages, you can set the Domain/Learnlab and add files or papers. The rest of the fields are calculated by examining the data contained in each dataset.

If a dataset does not have a Domain/LearnLab set for it, then it is excluded from this report.

Column Descriptions

LearnLab or Domain

PSLC LearnLab or Domain, as defined on each dataset's Dataset Info / Overview page.

Files

The number of files attached to datasets in the LearnLab or domain

Papers

The number of papers attached to datasets in the LearnLab or domain

Datasets

The number of datasets categorized under the LearnLab or domain.

Student Actions

The number of transactions for all datasets in the LearnLab or domain.

Students

The number of unique students for datasets in the LearnLab or domain. The count of students is only unique within each dataset, so a single student could appear and be counted in more than one dataset.

Student Hours

The number of hours of student activity in the logs, represented in each dataset by the sum of the duration of all student transactions.