Autonomic Dysreflexia
Audience
Second-Year Medical Students
Responsibilities
Needs Analysis, Instructional Design, eLearning Development, Visual Design, Storyboarding
Tools Used
Articulate Storyline 360
ChatGPT | GPT-4o
Luvvoice (text-to-speech generator)
Project Overview
This project showcases the redesign of an independent learning session for second-year medical students, focusing on the Renal and Male Reproductive Systems module. As part of an institutional initiative to modernize pre-clinical course materials, my team transitioned from SoftChalk to Articulate Storyline 360, aligning with the institution's LMS, Canvas. The goal was to create an asynchronous, interactive, and engaging learning experience to promote critical thinking and self-directed learning.
Outline
The development process began with a direct content migration from SoftChalk to Articulate Storyline 360. The original case-based format with knowledge check questions presented an opportunity to implement interactive branching scenarios. I leveraged AI tools, such as ChatGPT, to enrich the activity by crafting realistic scenario outcomes and providing tailored feedback for incorrect responses.
The original session content was a SoftChalk activity with knowledge check questions.
Design
The activity was structured as a case-based narrative, incorporating:
Branching Scenarios: Each knowledge check question became a decision point where learners could explore realistic consequences of their choices.
Facilitating Character: Dr. Zamora, a fictional guide, narrated the case and provided context, enhancing engagement and learner orientation.
Interactive Outcomes: For incorrect responses, learners viewed detailed explanations before revisiting the decision point, fostering self-correction and deeper understanding.
I prioritized intuitive navigation, using custom buttons and a collapsible menu for seamless progression while maintaining navigation restrictions to ensure proper content flow.
Development - Articulate Storyline 360
Using ChatGPT, I developed:
Branching scenarios for each decision point
Explanations for incorrect answers to reinforce learning
Continuations of the storyline for correct answers
Each branching scenario was carefully designed to integrate seamlessly into the original content. Custom design elements and consistent navigation enhanced the learner experience while adhering to the institutional style guide.
Branching Scenarios
Before
The original learning activity used multiple-choice knowledge check questions with a linear progression. Regardless of whether learners selected the correct or incorrect answer, the case moved forward without variation. This structure limited engagement and did not encourage learners to think critically about the impact of their decisions.
After
To create a more dynamic and immersive experience, I redesigned the knowledge check questions into branching scenarios. Each answer choice led to a unique outcome, allowing learners to see the direct impact of their decisions. Using ChatGPT, I developed realistic consequences for incorrect choices, requiring learners to reflect on their reasoning before attempting the question again.
Answer Choice Explanations
Before
Incorrect answers provided no specific feedback beyond indicating that the selection was wrong. Explanations, when provided, were generic statements about the correct answer rather than addressing common misconceptions or guiding learners toward deeper understanding. This lack of tailored feedback made it difficult for learners to self-correct and refine their clinical reasoning.
After
Incorrect responses now trigger detailed explanations tailored to the learner’s selection. Instead of simply revealing the correct answer, the activity provides context on why the chosen response was incorrect and guides the learner toward the correct reasoning. This structured feedback promotes self-correction and deeper engagement with the content.
Explanations for each question are tailored to the learner's choice to promote reasoning and self-correction.
Interactive Outcomes
Follow-up scenarios for learner answer choices provide an immersive learning experience and strengthen clinical reasoning skills.
Before
Since all answer choices led to the same outcome, learners did not experience the real-world consequences of their decisions. Whether they answered correctly or incorrectly, they were passively moved through the case without reinforcement of correct choices or opportunities to reconsider incorrect ones.
After
Correct responses now reinforce learning by advancing the case with additional details or follow-up scenarios that strengthen clinical reasoning. Dr. Zamora, the facilitating character, narrates the case and provides context, immersing learners in the role of the provider. This redesign ensures that every decision point contributes to meaningful learning rather than passive progression.
Review
The initial iteration underwent a comprehensive review by teaching faculty to ensure content accuracy and clarity. Their feedback informed refinements in content organization and enhancements to interactive elements, optimizing the learning experience. Following these revisions, the final activity was successfully integrated into Canvas LMS, providing medical students with an engaging, learner-centered resource.
This project highlights my ability to transform static educational content into dynamic, interactive learning experiences. By leveraging instructional design expertise, innovative tools, and a learner-focused approach, I created an immersive, thoughtfully structured module that fosters critical thinking and self-directed learning.