Why this work matters
Learners and instructors need more than content coverage; they need meaningful tasks, transparent success criteria, formative feedback, and connections between concepts and real-world application.
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Curriculum · Assessment · Educational technology
Education & Learning Design
Learning experiences that make complex material usable through clear objectives, interdisciplinary projects, assessment, feedback, and iteration.
What I contributed
Designed curricula, lessons, assessments, rubrics, workshops, projects, and learner-support materials across junior high through college settings.
What it demonstrates
Combines instructional design with technology, communication, and domain expertise across STEM, robotics, mathematics, entrepreneurship, marketing, and AI literacy.
Instructional design capability map
Learning strategy through execution
A compact evidence table built from documented résumé and profile experience, with portfolio demonstrations labeled clearly.
Learning strategy & objectives
Translate broad goals into observable knowledge, skill, and performance outcomes aligned to the learner and setting.
Documented: junior-high through college instruction across traditional, pre-collegiate, international, and virtual settings.Curriculum architecture
Sequence prior knowledge, modeling, scaffolded practice, checks for understanding, application, and reflection.
Documented: curricula, lesson plans, exams, workshops, and multi-session test-preparation courses.Lesson & content development
Create clear materials for complex and interdisciplinary subjects using audience-appropriate explanations and activities.
Documented: mathematics, physics, robotics, Lego Engineering, entrepreneurship, marketing, debate, and technology.Assessment & rubric design
Use formative feedback, quizzes, exams, performance tasks, projects, rubrics, demonstrations, and reflection to show learning.
Documented practice plus portfolio assessment models for STEM and AI-evaluation work.Differentiation & scaffolding
Adjust entry point, modality, pacing, grouping, visual cues, practice, and extension for different learning needs.
Documented: one-to-one, group, classroom, online, IEP-support, and varied learner-level experience.Project-based STEM learning
Connect concepts to purposeful challenges, prototypes, teamwork, data, iteration, and real-world problem solving.
Documented: Robotics, Lego Engineering, coding, Physics, Inquire and Design, and technology exploration.Online & blended learning
Design and facilitate learning across synchronous, asynchronous, classroom, workshop, and project-based formats.
Documented: virtual instruction and working knowledge of Canvas LMS, Articulate 360, Canva, and Adobe tools.AI-enabled learning design
Apply prompt design, evaluation criteria, human review, and revision to make AI-supported learning accurate and useful.
Portfolio demonstration: AI educational-content evaluation and an AI-literacy/evaluator-training framework.Selected deliverables
Work products
- 01Robotics and Lego Engineering challenge sequence
- 02Engineering notebook, prediction, data, iteration, and reflection prompts
- 03Assessment rubric and evidence loop
- 04Curriculum maps and facilitator guidance
- 05AI literacy and evaluation mini-course concept
Evidence
What supports the work
- Interdisciplinary design connecting coding, teamwork, and applied physics
- Portfolio, prototype, demonstration, and reflection assessment model
- Experience across 63+ subjects and multiple learner age groups
- Curriculum translation for diverse audiences and stakeholders
Evidence status
Includes documented professional experience and representative learning products; student-identifying information and unsupported outcome claims are excluded.
Methods & capabilities
Skills used in this work
Instructional designCurriculum developmentLearning objectivesLesson designAssessmentRubric designDifferentiationScaffoldingProject-based learningOnline & blended learningWorkshop designAI literacy