I- AI for Smart Unit & Weekly Planning
(Inquiry-Based & Real-Life Integrated Design)
Duration: 12 Hours (4 sessions × 3 hours)
Format: Live online training & hands-on AI labs & ready-to-use outputs/solutions
Audience: K-12 teachers, coordinators, and academic leaders
Overview
This professional development course trains teachers aka facilitators to use AI as a curriculum co-planner to enhance the quality and efficiency of unit plans and weekly plans. The focus is on building inquiry-based learning experiences anchored in real-life contexts, learning by doing, and meaningful assessment.
What teachers will learn
Participants will learn how to use AI to:
- Generate concept-based unit structures (central ideas, lines of inquiry, key concepts, ATL skills)
- Align unit plans with standards and inquiry outcomes
- Break units into weekly plans with clear learning objectives and success criteria
- Build engaging real-life hooks, provocations, and performance tasks
- Create formative assessments, rubrics, reflections, and student-friendly success indicators
- Apply ethical AI use in planning, assessment, and professional practice
Outcomes (what teachers produce)
By the end of the course, teachers will complete and submit:
- 1 AI-enhanced unit plan
- 1 full weekly plan aligned with inquiry and differentiation
- 1 real-life performance task with assessment criteria
- 1 rubric + reflection tools ready for classroom use
II- AI for Differentiated Classrooms Without Borders
(Inclusive + Global + Inquiry-Driven Learning)
Duration: 12 Hours (4 sessions × 3 hours)
Format: Live online training & practical design studios & ready classroom resources
Audience: K–12 teachers, inclusion coordinators, and school leaders
Overview
This course trains teachers to use AI to design differentiated learning pathways for diverse learners and multicultural classrooms. Teachers learn how to create flexible, inquiry-driven learning experiences that support student voice, choice, and inclusive success , even in online and hybrid environments.
What teachers will learn
Participants will learn how to use AI to:
- Create tiered tasks (support–standard–challenge levels) and choice boards
- Adapt lessons for diverse learning needs, student profiles, and readiness levels
- Build differentiated questioning using Bloom’s taxonomy
- Create multilingual learning materials (English and French) to support accessibility
- Design inquiry-based tasks that encourage collaboration beyond borders
- Generate personalized CMT feedback tools and differentiated rubrics
Outcomes (what teachers produce)
By the end of the course, teachers will complete and submit:
- 1 differentiated unit plan framework
- 1 multilingual lesson resource (English/French)
- 1 inquiry-based learning pathway with differentiated tasks
- 1 differentiated assessment tool (rubric + feedback model)
