Drag & Drop exercises allow learners to drag-and-drop items to complete a specified task. Currently, this exercise type supports three variants: classify, order, and parsons.

Classify

In this variant of the drag-and-drop exercise, learners classify items from a list into two or more groups, by dragging cards from a stack and dropping them onto the correct target zone. For example, this exercise type could be used to ask learners to classify a list of machine learning algorithms into supervised or unsupervised learning.

DragAndDropExercise: Classify

Order

In this variant, learners order a list of items based on a specified criteria, by dragging them and dropping them at the appropriate position. For example, this exercise type can be used to ask learners to order a sequence of tasks related to A/B testing a workflow.

DragAndDropExercise: Order

Parsons

Parsons problems are a type of code completion problem in which the learner must place blocks of correct, but mixed up, code in the correct order. In this exercise type, learners are presented with jumbled up lines of code and are expected to put them in order by dragging and dropping them onto the target zone.

DragAndDropExercise: Parsons

Guidelines

  • The description of an item cannot exceed 150 characters
  • The title cannot exceed 25 characters

See Also

"Drag and Drop" Exercise Anatomy
"Drag and Drop" Exercise Solution and SCTs

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