Work & Expertise

Curriculum built from scratch, and the expertise behind it.

Six case studies that show the same pattern: start from the outcome, diagnose what's missing, design backward, and measure whether it worked. Below that, the seven skill areas and research methods that make it repeatable.

Case Studies

Six pieces of work, each tested against outcomes

Curriculum Design · UC a-g Approval

UC-Approved Digital Music Course

Designed a complete secondary-level digital music course and shepherded it through University of California a-g approval, a rigorous, externally reviewed curriculum process. Required building full standards alignment documentation and writing the same type of formal regulatory submission required for CAEP and state DOE review.

Outcome-Driven Design

College Readiness Seminar

90% acceptance

Designed and ran a two-week college readiness seminar for graduating seniors. Started with the outcome, diagnosed what students' existing preparation had failed to give them, and built the seminar backward from there. The cohort achieved a 90% college acceptance rate.

Student-Centered Innovation

Self-Pacing Learning System

Designed an individualized self-pacing system originally for one student navigating an unstable home environment. It worked well enough that student-athletes and students working after-school jobs began requesting to use it too, evidence that the design held up against real-world constraints, not just theoretical best practice.

Action Research · California Induction Program

Year 1: Structured Due Dates & Feedback Reform

Investigated whether replacing self-paced assignments with structured due dates and personal, cumulative feedback would improve AP US History outcomes. Applied peer-reviewed research on feedback and low achievement (Pitt, Bearman & Esterhazy, 2020; Carless) to redesign the assignment calendar.

100% AP-worthy theses

In the formal mentor-observed lesson, every student produced an AP-worthy thesis statement, verified individually.

Action Research · California Induction Program

Year 2: Digital MC Practice & Skill Transfer

Tested whether weekly AP-aligned multiple-choice practice (Albert.io) improved exam readiness. Practice exam average was 70% across 18 students; the graded unit exam average was 75%, with only 5 of 30 questions overlapping between the two assessments.

70% → 75%

A 5-point gain with minimal question overlap rules out memorization and points to genuine skill transfer. Also redesigned test corrections from grade-recovery into metacognitive reflection.

Self-Designed · Classroom-Tested

Original AP Pedagogical Frameworks

Independently designed and iterated a set of frameworks embedded across my AP courses: the ACE Protocol (Answer, Cite, Explain) for written response scaffolding, the HAPP Framework for primary source analysis, PIECES for LEQ theme brainstorming, and a 6-Step AP Question Strategy for multiple-choice mastery.

Evidence the strategies had been internalized, not just taught: in a formal observation, students independently eliminated wrong multiple-choice answers on their own without waiting for teacher confirmation.

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