5. Tutorial

The tutorial is organized as a collection of tasks. Some of them require the use of a set of files that contain data, actions, and other additional elements. Before starting to work on the tasks make sure you have an instructor account in an OnTask server.

• 5.1. The Scenario
• 5.2. The Dataset
  • 5.2.1. Key columns
• 5.3. Exploring the data with a spreadsheet
  • 5.3.1. Questions
• 5.4. Main elements in OnTask
• 5.5. Create an empty workflow
• 5.6. The Top Menu
• 5.7. Data Upload
• 5.8. Browsing the data table
  • 5.8.1. Table Views
  • 5.8.2. Column and Row Statistics
• 5.9. Actions
• 5.10. Personalized text action
  • 5.10.1. Selecting only a subset of learners
• 5.11. Sending Personalized Text through Email
  • 5.11.1. Final look before pushing the GO button
• 5.12. Example of Personalized Messages
• 5.13. Making content available through OnTask
• 5.14. Personalized Rubric Feedback
• 5.15. Surveys and/or Polls
• 5.16. Run a survey
• 5.17. Combining personalized text and surveys
• 5.18. Import a pre-defined survey
• 5.19. Workflow operations
• 5.20. Column operations
  • 5.20.1. Adding columns
• 5.21. Personalized JSON action
• 5.22. Scheduling Actions
  • 5.22.1. Scheduling Personalized Text Actions
  • 5.22.2. Scheduling Personalized JSON Actions
  • 5.22.3. Checking the scheduled execution
• 5.23. Merging Data
• 5.24. Download a ZIP (and upload it in Moodle)
  • 5.24.1. Use the ZIP file to upload feedback in Moodle
• 5.25. Uploading Data from a Remote Database
• 5.26. Write your own data processing code
  • 5.26.1. Example: A Predictive Model
• 5.27. Browsing the API
  • 5.27.1. Workflow API
  • 5.27.2. Table API