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Chapter 2: Designing Branching Scenarios

2.1 What Makes a Good Scenario?: Defining the Problem

Designing effective branching scenarios starts with crafting a problem that feels authentic and meaningful to learners. A good scenario is rooted in realistic contexts and challenges that align closely with course learning outcomes, ensuring relevance and impact. Strive to create problems that are complex enough to stimulate critical thinking but not so difficult that they overwhelm learners—finding that sweet spot keeps learners engaged and motivated. When the problem connects with real-world situations they may encounter in their field, it not only enhances their learning experience but helps them see the value of applying course concepts in professional contexts.

An image of a golden retriever named Lucky: Background Lucky, a 30 kg Golden Retriever, was presented to your clinic because they have been limping on their right hind leg. Otherwise Lucky has been acting well • eating and drinking normally, • no previous medical concerns, and • not currently on medications.
A screenshot from Interactive Cases In Veterinary Medicine by Dr. Jen Loewen (CC BY-NC-SA 4.0).

To make a branching scenario truly effective for learning, ask yourself: What do I want to see the learner demonstrate? Whether it’s a specific skill, competency, or piece of knowledge, your goal should drive the scenario’s design. By identifying the desired outcome first, you can work backward to craft a scenario that provides opportunities for learners to apply what they’ve learned in a meaningful way. This backward design approach ensures that every decision point, challenge, and outcome in the scenario is purposeful and aligned with your learning objectives. The result? A branching scenario that not only engages learners but also provides a clear window into their understanding and abilities.

💡Tip

If you have trouble coming up with possible scenarios to adapt for your purposes, you may want to try one of the strategies below:

  • Search for concepts that learners have found challenging in coursework – where you look will depend on areas that your learners have struggled with over multiple terms. These could be areas from your lectures, learning activities, or assessments.
  • Let generative AI help you out – ask a GenAI tool (like Microsoft Copilot, ChatGPT, or Claude) to come up with a list of possible scenarios. You will likely get the best results by asking it to come up with many different options or options with a variety of features you provide. Once you find a concept that interests you, you may want to ask the GenAI tool to provide varied versions of the scenario and then expand on one that you like. Remember: If you use GenAI to build a scenario, make sure that you review and adapt the scenario to make it suited to your context and purpose as well as to correct any errors.
  • Check pre-existing resources – any resources designed to share scenarios for your discipline may provide starting ideas for a scenario. Check if there are open access resources or websites that outline scenarios in your area.

License

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Branching Scenarios: A Guide for Higher Ed Copyright © by Gwenna Moss Centre for Teaching and Learning (GMCTL) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.