Learning Experience Design | AI-Enabled Training Systems
I design AI-enabled, evidence-based learning experiences for complex topics so teams can learn faster, perform better, and scale quality.
Belle Li is a Learning Experience Designer and Purdue Ph.D. candidate who builds performance-focused learning systems across startup product training, graduate education, and AI-enabled workflows. She has led cross-functional curriculum operations, co-instructed graduate courses, produced scalable learner-support assets, and translated research into implementation-ready playbooks. Her work is strongest where complexity is high: identifying learner friction, designing targeted interventions, and improving transfer through evidence-based iteration.
AI-Enabled Learning Design
Designed an assessment-aware AI learning assistant at Purdue — built to scaffold thinking, not deliver answers. $84,787 funded, 4 iterative phases, deployed to undergraduate courses.
Open caseCourse & Program Design
Redesigned Purdue EDCI 557 for asynchronous graduate learners with scaffolded assignments, rubrics, and weekly video guidance.
Open caseProduct / Training Operations
Co-led HiLink LMS direction and curriculum operations with a coordinated team model and 300+ learning materials delivered.
Open caseI’m Belle Li, a Learning Experience Designer and Ph.D. candidate in Learning Design and Technology at Purdue University. I build learning experiences where clarity, transfer, and measurable outcomes matter.
Across university teaching, startup product work, and research collaborations, I design curriculum systems, learner-support assets, and AI-supported workflows for multilingual, non-traditional, and professional learners.
My approach is practical: identify where learners get stuck, build targeted support, then evaluate and iterate.
For LXD, training operations, and AI-learning design opportunities, reach out at li4808@purdue.edu.
More profile details: https://www.beeelle.com/