Portfolio

This proof of concept project was not been implemented. It is essential for the staff of a biomedical research program to provide accurate and complete answers to difficult questions from the public. This Ai-enabled tool compares the learner's answer to an IRB-approved answer, scoring it based on semantic similarity of the two answers.

Learning material for a large and complex topic (Genetics) was needed right away. Since a waterfall approach (like ADDIE) would have taken months to analyze, I used an agile-inspired, collaborative approach launching an MVP curriculum in weeks, and refining it based on real-time learner feedback.

Digital learning platforms are essential to a national-level learning program. But how can we leverage the scalability of digital learning platforms if the primary audience does not have all the skills and knowledge to ineract in digital spaces efficiently and safely?

This training was designed to shift a researcher's mindset from checking off a bureaucratic task to thinking about rules and policies as strategies and guardrails that protect the integrity of their work and the privacy of research participants.

Recent advances in adaptive learning sciences are transforming a designer's ability to personalize instruction. In this chapter I discuss:
•Which learner charactaristics should we adapt to?
•Which loops are effective at adapting to available data?'

Can we optimize learning and keep learners engaged while practicing a complex, multi-step skill? Like many complex subjects, Statistics problems are often multi-step and complex; a single mistake can send learners down the wrong path with no way to recover. Without help, learners are left stuck and frustrated.

As part of the interdisciplanary ENAGE team, I designed and developed games for young learners that use instructional strategies, interactive problem-solving, and scaffolded learning mechanics to teach STEM subjects plus scientific inquiry and critical thinking skills.