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Examples of custom learning paths with the course data rule
Examples of custom learning paths with the course data rule

Discover how you can use the course data rule based on learners' answers to previous questions to create customized learning paths

Terra van der Lugt avatar
Written by Terra van der Lugt
Updated over a week ago

The Course data rule allows you to set up a rule for when an activity or flow is able to be completed or is visible to a learner based on their answers to a question from a previous activity. You can find this under Completion and Visibility in the slide-in settings menu.

You can set course data rules based on learners' answers to questions from all of the following activities:

  • Quiz

  • Form

  • Self review

  • Instructor review

  • Peer review

  • Group member review

  • Feedback reflection

This allows you to customize learner paths based on learners' responses. Some examples of ways to implement course data rules include:

Example #1: Allow learners to bypass content that they already know

  • Have learners complete a pretest (such as in a Quiz activity).

  • Set visibility rules to reveal content based on the questions they answered incorrectly. This way, learners can skip any content that they already know.

  • Have learners take a final assessment (such as another Quiz activity).

Example #2: Create a branching scenario

  • Have learners read or watch a prompt about a scenario related to your course content.

  • Have the learners answer a question in a Form based the scenario.

  • Create activity pages for each answer to the question describing what would happen in the scenario if they made each different choice.

  • Set a visibility rule on the activity pages based on course data to only reveal after the learner makes their choice.

Continue to create multiple choices with different paths for learners.

Example #3: Unlock additional learning opportunities based on self rating

  • Have learners complete a self review of their previous work.

  • Include scaled questions with options to rate their work (such as My work needs a lot more improvement, My work needs a little more improvement, My work doesn't need more improvement)

  • Include flows for each option in the course. Set visibility rules on each flow based on course data for each rating. For example, if a learner needs a lot more improvement, you could unlock a flow to share an additional learning activity or resource, or even include an extra instructor review to offer feedback.

Example #4: Let learners flag if they didn't receive a quality peer review and open an alternate option for them.

  • Have learners complete a peer review.

  • Have learners complete a Feedback reflection activity with a rubric. Include a question in the rubric to indicate if the learner is satisfied with the feedback they received.

  • Include an additional activity (perhaps another peer review or instructor review activity). Set a visibility rule on the activity to only reveal if the learner selects that they are dissatisfied with the peer review they received.

Example #5: If learners receive low scores from their peer reviews, open another learning activity for them to complete.

  • Have learners complete a peer review. Include a question on the rubric for reviewers to rate the work, such as on a scale from 1 to 10.

  • Create a learning activity for learners with low scores. Set a completion rule on the activity based on course data. You can set scores to be below a certain amount so only learners with lower scores will open this activity.

Example #6: If learners receive low ratings on the group member review, have them complete a self reflection.

Note: This example is only relevant if you have a Group member formation activity in your course, and if you have group members reviewing each other's performance.

  • Have learners complete a Group member review activity to rate each other's performance.

  • Create a self review activity to reflect on low ratings. Set a course data rule to open the activity only if the learner receives low scores.

There are countless other possibilities! Use the option to preview your course with test learners to try out new rules based on course data.

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