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Revision as of 20:32, 31 August 2009 by Alida (talk | contribs) (''Semi-structured interviews with researchers'')
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Status: API Complete, Prototyping Started, Requirements Needed

User Story

As a researcher (EDM, M&M, CMDM), I want to retrieve transaction data programmatically and append custom fields to transactions in DataShop so that I can more easily run my models on the data outside of DataShop and put the results back in.
As a researcher with a machine learning background, I want to retrieve student-step data programmatically so that I can more easily run my analyses on the data without much human intervention.

Notes/Comments

  • Adding custom fields to existing datasets at Transaction Level only
  • Needed for M&M and CMDM clusters [Ryan Baker, October 2008]
  • Will enable researchers to use output from existing models
    • Gaming Detector [Arnon Hershkovitz, Mihaela Cocea, Summer 2008]
    • Bayesian Knowledge Tracing. [Hao Cen, migrated from feature wish list]
  • Key to collaboration.
  • Ability to automatically add columns to DataShop data sets at transaction level [Ryan, Startup Memo, summer 2008]
  • Points:
    • Tx level, Need user incentive to upload values, need associated notes, need graphing of

Semi-structured interviews with researchers

  • Ido Roll: main conclusions are that being able to use the new columns in the same ways one can use DataShop-native colums might be crucial; data is often not at transaction level (eg, student variable), so DS might do the tx-level mapping for the user based on key column(s)
  • Phil Pavlik, email: "I guess I might use the adding of a column by itself if the opportunity was there to look at it as a model graph in DataShop. Often it is good to visualize the results of a model."

See complete DataShop Feature Wish List.