About
I leverage research, data, and technology to solve complex learning and organizational challenges by translating evidence into actionable strategies and practical solutions.
I serve as a strategic partner and trusted advisor by helping stakeholders connect their goals with measurable outcomes. I have collaborated with stakeholders at colleges, universities, and organizations including Pearson, Macmillan, and Pluralsight.
Empathetic Partnership
I once supported an organization-wide effort to implement evidence-based design practices. While the partnership with my direct stakeholder went smoothly, things got a bit more complicated once it came time to train the staff.
Some staff had deep concerns over the changing landscape and what implications that might have for their jobs and professional identity. I was able to alleviate concerns and earn buy-in through empathetic communication, much to the delight of my direct stakeholder.
In my design philosophy, I explain how I handle challenges like these in practice.
Evidence-Based Approach
When it comes to principles and practices, I take an evidence-based approach. A strong backward-design process infused with principles from the latest research discoveries enables us to achieve high-impact outcomes.
In my 12 Principles of Evidence-Based Learning video series, I highlight ways that we can apply learning sciences principles in practice to make a powerful impact on learners.
One of my favorite design principles, Personalization, is the subject of this video.
Emerging Technology Evaluation
Emerging technologies, such as AI, continue to reshape the professional landscape. From a strategic viewpoint, I approach technology not as an end, but as a means to solve meaningful problems and achieve organizational goals.
For example, I evaluated an AI tutor designed to support learners. I analyzed learner perception data and examined relationships with exam performance. My analysis found that students reported favorable perceptions of the AI tutor. However, student perceptions were not meaningfully related to exam performance. These findings highlight the importance of combining perception and objective performance measures when evaluating emerging technologies.