Redesigning teaching, learning, and assessment for the age of AI.
Practical, workshop-based professional learning for schools that want more than tool demonstrations. Participants examine real pedagogical decisions, apply the TEACH Framework, and leave with resources they can adapt to their own classrooms.
The TEACH Framework
A five-step decision model participants can hold in one hand. Not another tool list — a way to think about when and why AI belongs in a lesson.
Target the learning outcome before anything else.
Evaluate what students should do themselves.
Apply AI purposefully, where it earns its place.
Check accuracy and bias before it reaches students.
Human reflection and assessment close the loop.
Six workshops, one through-line: teacher judgment stays central.
Rather than a single session, the catalogue builds a progression — from AI foundations to school leadership. Book one, or sequence several across a year of professional learning.
AI Foundations for Teachers
A grounded starting point for everyone: what AI can and cannot do, prompt engineering, privacy, copyright, hallucinations, and ethical use.
AI for Language Teachers
Reading activities, listening tasks, oral assessments, rubrics, differentiation, and vocabulary — demonstrated with authentic classroom examples.
Ethical Assessment in the Age of AI
Academic integrity, assessment redesign, authentic evidence, oral assessment, standards-based grading, and the myths of AI detection.
Curriculum Design with AI
A hands-on lab, not a lecture. Backward design, standards alignment, assessment, and differentiation — teachers leave with a completed unit.
Teacher Productivity
Rubrics, exemplars, parent communication, report cards, and lesson plans — with teacher judgment remaining firmly central.
AI Leadership
For department heads and administrators: school policy, professional learning, staff implementation, and strategic planning.
Educational expertise before technology demonstrations.
Most AI sessions focus on the tools — how to generate a worksheet, how to make a chatbot. Useful, but thin. Teachers leave with tricks that expire when the next tool arrives.
The workshops address the pedagogical questions teachers actually ask every day: How do I redesign assessments so the evidence of learning is still valid? How can AI reduce administrative work without diminishing professional judgment? How do I teach students to use AI ethically?
That combination — a Ph.D. in Latin American history, 24 years across secondary and university classrooms in Canada and Mexico, curriculum design, standards-based assessment, IB and AP programs, and teacher mentoring — is what distinguishes these workshops from sessions about AI tools themselves.
Read the full bio →- Ph.D. in Latin American History, University of British Columbia.
- 24 years teaching across Canada and Mexico, secondary and university.
- IB & AP courses in History, Humanities, and Spanish Language.
- Standards-based grading and assessment design as a lived practice.
- Author of La Ruta Secreta del Mezcal, with scholarly research in history and visual culture.
- Currently teaching at Crofton House School, Vancouver.
Flexible enough for a single staff meeting or a district-wide plan.
Five commitments behind every workshop.
The tools may change. These instructional commitments should not.
Learning comes first
Every use of AI begins with a clearly defined learning purpose.
Teachers remain responsible
Professional judgment cannot be delegated to a model or platform.
Assessment must show human thinking
Evidence of learning should make student reasoning visible and defensible.
Technology should reduce friction
AI should relieve avoidable workload without lowering instructional expectations.
Ethics belongs inside practice
Privacy, bias, authorship, accuracy, and access are instructional concerns, not afterthoughts.
Bring a workshop to your school.
Participants receive practical materials matched to the workshop, such as planning templates, decision checklists, model prompts, assessment tools, and adaptable classroom examples.