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Helping educators and students approach AI with curiosity, critical judgment, and a clear sense of purpose.
My work brings together professional learning, tool evaluation, student AI literacy, and collaborative leadership. I help school communities explore what AI can offer, recognize its limitations, and make thoughtful decisions about its use. Through collaborative leadership and hands-on learning, I help teachers connect AI exploration to instructional goals, privacy considerations, and responsible practice.
See an example of this work below.
Teacher Education in Practice: AI for Teachers Exploratory Cohort
I led a cross-divisional cohort that gave teachers space to investigate AI tools, consider their implications for teaching, and explore responsible applications. The experience combined facilitated sessions, hands-on experimentation, and shared reflection, informing recommendations for school leadership.
Explore the sessions below to see what teachers investigated, practiced, and learned.
Session One: AI Foundations
This introductory session establishes a foundational understanding of Artificial Intelligence and Large Language Models (LLMs) in K–12 education. Educators explore what generative AI can and cannot do, focusing on its strengths as a creative collaborator while acknowledging key limitations such as hallucinations and algorithmic bias. Participants test low-stakes prompts, explore the basic ChatGPT interface and settings, and initiate cohort-wide discussions on guardrails, ethics, and the preservation of human pedagogical judgment.
Session Two: Models, Modes, & Tools
Session Two dives into the mechanics of ChatGPT, clarifying the distinctions between underlying models (e.g., GPT-5.1 vs. GPT-5.2) and operational modes (Default vs. Thinking mode). Educators examine specialized workspace tools including file uploads, image generation, web search, Deep Research, and split-screen Canvas drafting. The session also introduces ethical usage guidelines across Autopilot, Collaboration, and Manual task categories to help teachers navigate responsible integration.
Session Three: Prompting, Projects, & GPTs
Focusing on practical customization and workflow optimization, Session Three guides teachers through structured prompt frameworks (such as the 7-Block T-C-E-P-C-F-T model) and follow-up strategies to refine outputs. Participants learn to build shared Project workspaces with custom instructions and uploaded reference files for sustained collaborative planning. Additionally, the session covers building and configuring specialized custom GPTs tailored to school-specific standards, rubrics, and coaching needs.
Session Four: What ChatGPT Is (and Isn’t) Good At
The final session presents a side-by-side comparison of major AI ecosystems—ChatGPT, Google Gemini (and NotebookLM), and Anthropic’s Claude. Faculty evaluate real-world educational workflows to identify where ChatGPT excels (workspace organization, conversational iteration) and where rival tools lead (Gemini’s Google Workspace integration and text rendering, Claude’s deep document reasoning and interactive Artifacts). The cohort concludes with a comparative hands-on trial and a final evaluation survey to guide schoolwide EdTech recommendations.
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