My design philosophy
My design philosophy
Embedded Files
This logo reflects my approach to instructional design: the cloud symbolizes adaptability, changing with its environment, while the arrow represents progress and innovation, and the pencil curve conveys creativity and learner-centered design.
My work demonstrates the detailed structure of ADDIE and ARCS, which remain essential for clarity, motivation, and measurable outcomes. These models provide the backbone of my process and you will see them throughout my designs. However, I believe the SAM (Successive Approximation Model) best represents the current shift in instructional design toward agility, rapid prototyping, and iterative feedback. SAM enables me to respond quickly to changing needs, integrate AI for personalization, and deliver solutions that evolve with technology. My personal learning theory can be found here.
Barista Onboarding
Barista Onboarding
Articulate Rise, Microsoft Clipchamp, Canva
AI-powered design
AI-powered design
Articulate Rise, HeyGen, Google Forms, Canva
*Co-researcher: Melanie White*
Hurricane preparedness
Hurricane preparedness
Articulate Storyline, Canva, Microsoft Clipchamp
Course design: eme 640
Course design: eme 640
Canvas LMS, Excel, Canva, Copilot, Google Forms
Canvas learning outcomes
Canvas learning outcomes
This instructional video supports teachers in aligning district learning outcomes to Canvas quizzes and assignments to monitor student progress by benchmark. The walkthrough demonstrates how to pull standards from the district library, connect outcomes to individual assessment questions, and analyze mastery data using Canvas Outcomes Analysis and the Learning Mastery Gradebook.
Microsoft copilot
Microsoft copilot
This instructional video introduces educators to Microsoft Copilot as a secure, enterprise‑protected AI companion for curriculum enhancement and productivity. The walkthrough demonstrates multiple access points for Copilot, models classroom‑ready use cases such as generating questions from instructional text and analyzing student data, and builds foundational prompting skills to support responsible, effective AI use in educator workflows.
learning theories
learning theories
This presentation demonstrates how Cognitive Load Theory and related instructional principles can be applied to Excel training, highlighting the balance between structured guidance and active learning for efficient knowledge retention, while contrasting these approaches with constructivist and schema theories.
Survey research
Survey research
This presentation explores best practices in survey research, emphasizing how question design, wording, and sample size impact the validity, reliability, and interpretation of survey results.
adaptive learning
adaptive learning
This presentation explains how adaptive learning customizes educational experiences for individual learners using real-time data and AI, highlighting its evolution, benefits, challenges, and the role of learning analytics in creating more personalized, effective, and inclusive learning environments.
Page updated
Google Sites
Report abuse