Designing Learning That Scales, Engages, and Delivers Results
Here is a quick glimpse of my portfolio
Learning with AI
(30% Increase in Knowledge Application)
Project Overview:
AI-driven individualized learning is often discussed conceptually but rarely demonstrated in a tangible, performance-based format. Stakeholders struggled to visualize how AI could move beyond content generation to actively diagnose learner gaps, adapt instruction in real time, and improve transfer of learning.I developed this demo to concretely illustrate how AI can function as a dynamic instructional layer within a structured eLearning environment.
In my current role we created a cohort to compare the effectivness of using AI vs traditional means. The adult learners we work with on a daily basis have quite a large variety of skills and knowledge. As a result traditional techniques are underutilizing how effective training can be.
Role and Approach:
Designed and developed an AI-enhanced branching scenario in Articulate Storyline that simulated real-time individualized instruction.
The demo modeled how AI can:
Diagnose learner misconceptions through decision analysis
Adjust difficulty based on response patterns
Provide contextual, scenario-based feedback
Offer targeted remediation before allowing progression
Modify dialogue paths dynamically using variable logic
I engineered the branching architecture, variable structure, feedback logic, and prompt frameworks to simulate adaptive learning behavior within a controlled SCORM environment.
AI tools (SchoolAI and ChatGPT) were leveraged to:
Generate differentiated feedback paths
Model misconception-based responses
Create layered remediation prompts
Simulate real-time instructional adjustment
The result was a scalable prototype demonstrating how AI can enhance—not replace—intentional instructional design.
Implementation:
The module was deployed within the building LMS using SCORM tracking. Staff were encouraged to use the AI tool as part of professional development hours, with engagement and completion monitored through LMS analytics.
I also provided brief guidance to instructional leaders on:
Interpreting learner decision-path data
Monitoring adaptive feedback effectiveness
Identifying knowledge gaps revealed through branching outcomes
Supporting learners who required additional remediation
This ensured the tool was positioned as a performance-support system rather than a novelty technology.
Results
The AI-enhanced scenario demonstrated measurable performance gains:
→ 30% increase in learner knowledge application (measured through post-scenario applied performance tasks)
→ Significant reduction in time-to-competency due to targeted remediation pathways
→ Improved learner engagement through dynamic, non-static content experiences
Reflection & Lessons Learned
This project reinforced several key instructional design principles:
Adaptive feedback significantly improves knowledge transfer compared to static correction
AI is most effective when embedded within intentional instructional architecture
Scenario-based learning amplifies the impact of individualized instruction
Real-time performance data provides actionable insight into learner misconceptions
Most importantly, the demo clarified for stakeholders that AI is not a replacement for instructional design — it is a force multiplier when structured correctly.
Tools Used
Articulate Storyline 360 · SCORM · WCAG 2.2 AA · SchoolAI · ChatGPT · Variable-Based Branching Logic · LMS Analytics
Micro-learning
(40%+ Productivity & 20% Less Time)
Project Overview:
Staff in the district were underutilizing the quiz-grade features in the Learning Management System (LMS), which created gaps in student progress monitoring and led to extended grading time. This inefficiency not only affected data accuracy but also consumed significant staff hours weekly, reducing time available for other instructional responsibilities. The challenge was to create a concise, engaging, and accessible learning solution that would quickly upskill staff on the most efficient workflow for entering quiz grades.
Role and Approach:
As the instructional designer, I led the full project lifecycle, including needs analysis, design, development, and deployment. I first conducted a brief needs assessment by reviewing LMS usage reports, collecting anecdotal feedback from staff, and identifying common pain points in the grading process. Based on this analysis, I defined clear learning objectives:
Demonstrate the fastest workflow for entering quiz grades
Provide step-by-step visual guidance and job aids
Ensure accessibility compliance and seamless LMS integration
Implementation:
The module was deployed district-wide via the LMS. Staff were encouraged to complete the module as part of their professional development hours, with usage tracked through LMS completion reports. I also provided brief guidance to instructional leaders on monitoring progress and supporting staff who had questions.
Results:
The microlearning solution had an immediate impact:
40% increase in weekly quiz grades submitted
20% reduction in grading time
30+ hours saved per week across the team
95% learner satisfaction based on post-training surveys
Reflection and Lessons Learned:
This project highlighted the effectiveness of targeted microlearning for procedural skills. Key lessons included:
Short, focused module with visual support significantly increase adoption of technical workflows
Integrating job aids directly into training reinforces skill transfer
Monitoring real usage data allows rapid evaluation of training impact and ROI
Tools Used:
Articulate Rise 360 · SCORM · WCAG 2.2 AA
Compliance Training
(100% Compliance within 2 weeks)
Project Overview:
A recent review revealed that nearly half of the school's staff, including all new hires, misunderstood key components of the grading policy. This lack of understanding created risks for consistency in grading and potential audit issues. The challenge was to quickly develop an engaging, accessible, and clear training solution that would ensure full compliance with grading policies across all staff.
Role and Approach:
As the instructional designer, I led the rapid redesign of an existing PowerPoint prototype into a fully interactive Google Slides module. My approach included:
Analyzing the original training and identifying content gaps and confusing areas
Incorporating real examples and decision-making scenarios to make policy concepts actionable
Embedding downloadable job aids for easy reference and reinforcement
Ensuring seamless access through the Teacher Access LMS
The module was designed as a microlearning experience, allowing staff to complete it in short, focused segments while immediately applying the concepts to their daily grading practices.
Implementation:
The redesigned module was deployed district-wide, targeting both new hires and current staff who needed clarification on grading policy. Staff were guided through interactive slides with real-life examples, scenario-based decision points, and practical job aids. Completion and adherence were tracked through the LMS to ensure accountability.
Results:
The training delivered rapid and measurable results:
Week 1: 70% of staff achieved compliance
Week 2: 100% compliance, sustained thereafter
Reflection and Lessons Learned:
This project demonstrated the power of targeted, interactive microlearning for policy training. Key takeaways included:
Rapid redesign of existing prototypes can produce high-impact learning quickly
Scenario-based examples and embedded job aids enhance understanding and retention
Tracking completion and performance metrics ensures accountability and demonstrates ROI
Tools Used:
Canva · Google Slides · Teacher Access LMS
Healthcare Module – JM Sports Med
(35% Increase in client retention)
Challenge
COVID-19 epidemic caused a sharp increase in mental health patients but I saw an underutilization of sports medicine treatments.
Solution & Role
Created SCORM-compliant eLearning series with branching, teaching documentation standards and patient communication protocols.
Results
→ 35% increase in patient retention
→ Significant improvement in satisfaction scores
Tools: Articulate Storyline/Rise · xAPI · WCAG · Articulate Rise 360 · Articulate Storyline · SCORM/xAPI · WCAG 2.2 AA · ADDIE · SAM · Kirkpatrick Evaluation · Needs Analysis · Learning Analytics · Agile Project Management · Prompt Engineering (when needed)
