Work

Work that was tested against outcomes.

Every piece here follows the same pattern: start from the outcome, diagnose what is missing, design backward, and measure whether it worked. The case studies show the pattern in use, the samples are the documents themselves, and the CV holds the credentials behind them. Below, the expertise that makes it repeatable.

Expertise

Seven areas, one throughline: design that gets tested against results

Skills and content areas built over a decade of classroom practice, formal action research, and doctoral-level study.

Curriculum Design & Development

  • Curriculum builds from scratch: syllabi, modules, assignments, assessments
  • Standards alignment: InTASC, CAEP, state DOE, UC a-g, C3 Framework, AP
  • Backward design (outcome-first curriculum logic)
  • Gap analysis and alignment matrices
  • Rubric and storyboard development

Accreditation & Regulatory Writing

  • Standards alignment narratives
  • Evidence-based justifications for regulatory bodies
  • UC a-g course approval documentation (demonstrated)
  • CAEP and state DOE frameworks

Adult Learning & Professional Development

  • Instructional design for adult professional learners
  • Faculty onboarding and PLC facilitation
  • Coaching and curriculum-aligned professional learning
  • Teacher preparation curriculum

Assessment Design

  • C3 Framework (social studies) and Depth of Knowledge classification
  • AP assessment alignment: rubrics, FRQs, LEQ, SAQ, DBQ, MC
  • Self-designed frameworks: HAPP, ACE Protocol, 6-Step AP Strategy, PIECES
  • Data-driven instruction using AP exam analytics (Albert.io)
  • Formative-to-summative assessment cycle design with documented skill transfer

Classroom Action Research

  • Cycle of Inquiry methodology: formal question, action steps, evidence, mentor-observed outcomes
  • Scholarly article application to classroom design (Pitt, Bearman & Esterhazy; Carless)
  • SMART and QUEST goal-setting frameworks
  • Two full years of California Induction Program action research (2024–2026)

Writing & Research

  • Academic and regulatory writing
  • Research synthesis and analysis
  • Policy-adjacent briefs and documentation
  • Doctoral-level literature review and argumentation

AI Integration

  • AI-powered adaptive learning platforms in daily instruction (Albert.io)
  • AI-assisted assessment design for personalized, mastery-based learning
  • Evaluating AI-generated instructional content for quality and framework alignment
  • Doctoral research agenda on AI-augmented and AI-resilient critical thinking
Emerging

In active development

Skills I am building now, alongside a decade of instructional design experience.

Python programming AI training & evaluation Machine learning systems