rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data & Analytics for Instructional Designers
  name:
    name part: Torrance, Megan.
    role:
      role term: creator
  name:
    name part: EBSCOhost
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: vau
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( 181 p.) :
  table of contents: Intro -- Title Page -- Copyright -- Contents -- Introduction -- Part 1. The Foundations -- 1. Why Should Instructional Designers Care? -- 2. Getting Started With Definitions -- 3. Data Specifications in Workplace Learning -- 4. Unique Learning Metrics -- 5. A Little Bit of Statistics -- Part 2. Designing for Data -- 6. A Framework for Using Workplace Learning Data -- 7. Make a Plan for Gathering and Using Data -- 8. Form Your Hypothesis and Specify Data Needs -- 9. Identify Data Sources -- 10. Build in Data Capture -- 11. Store the Data -- 12. Iterate on the Data and the Analysis -- 13. Communicate and Visualize the Data -- 14. Build Scale and Maturity -- Acknowledgments -- Further Reading -- References -- Index -- About the Author -- About ATD
  note: Megan Torrance.
  subject:
    topic: Data mining
  subject:
    topic: Quantitative research
  classification: QA76.9.D343 T67 2023
  classification: 006.312
  related item:
    title info:
      title: Data and Analytics for Instructional Designers
    name:
      name part: Torrance, Megan
    origin info:
      publisher: La Vergne : Association for Talent Development,c2023
  identifier: 1953946453
  identifier: 9781953946454
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 230209
    record change date: 20230417155552.9
    record identifier: in00004748941
    language of cataloging:
      language term: eng