Turning complexity into clarity. Instructional Designer and Training Facilitator designing accessible, AI-powered learning for global teams, grounded in experiential learning, UX, and ethical AI. Currently pursuing a doctorate in Workplace Learning at Northeastern University, I study how inquiry-driven AI coaching enhances metacognition, accountability, and language acquisition.
As an Instructional Designer, I’m constantly looking for ways to scale our work without compromising quality or intent. Here are three life-changing collaborative frameworks that turn raw ideas into learning experiences that click.
Worksheets have long been a staple in education, but their potential as tools for fostering collaboration and building communities of practice often remains untapped. By applying backward design and thoughtfully integrating AI, we can transform worksheets into dynamic, interactive experiences.
In a fast-paced world with limited time, delivering meaningful learning in minutes may seem impossible. This guide explores how AI and design thinking frameworks—empathize, define, ideate, prototype, and test—can help create accessible, practical microlearning videos that resonate with learners.
Imagine having a version of yourself—a teacher who is always available, empathetic, and dedicated to helping learners overcome challenges. Designing such an AI teaching assistant is no longer a dream; it's a practical solution for modern eLearning environments.
Feedback-driven AI transforms eLearning into a dynamic, learner-centric process. By continuously iterating on content, personalizing learning paths, and fostering collaboration, organizations can build ecosystems that adapt to changing needs.