Explain goals of the lesson more clearly in the Introduction about openrefine-socialsci HOT 4 CLOSED

I agree that the learning objectives for this episode are not consistent with the content of the lesson.
The lesson would need to be populated with exercices helping learners to grasp OpenRefine's uses and applications as well as introducing a way for learners to acquire the conceptual difference between cleaning data and organizing data.

from openrefine-socialsci.

A belated thanks for your suggestion, @data-librarian. At the time of submitting it, the lesson may have been organised a bit differently.

The learning objective that you suggest is a big one, that in my view covers the whole lesson, not a single episode. Let me suggest to make sure the contents of the introduction episode (not the objectives) include something like your suggested objective, to set the 'end goal' for learners.

from openrefine-socialsci.

In my introduction to the lesson I like to stress that we do not cover all of the functionalities that OpenRefine provides and that we do not clean up all the errors in the dataset. This may be good to include in the introduction section as well.

from openrefine-socialsci.

I've been working on a list of lesson learning objectives:

Learning objectives

By the end of this lesson, you will be able to:

• create, export and import a project in OpenRefine
• view and work on subsets of rows using facets and text filters
• reduce variations in data through clustering, bulk editing and transformations
• undo and redo actions and export the history of actions
• save cleaned data in a widely supported file format

This should go in the Summary and Setup section, like in the Lesson Development Training.
What do people think?

from openrefine-socialsci.