The AI Teacher Development project equips educators with a project-based learning (PBL) framework enhanced by AI, anchored in authentic, real-world problem solving. It balances methodological innovation with hands‑on professional growth, enabling teachers to test and refine AI‑integration strategies within regular classroom practice.

Pedagogical Focus

• Competency development: Students’ AI literacy—critical information analysis, understanding algorithmic processes, and ethical, responsible AI use.
• 21st‑century skills: Creative problem‑solving, collaboration, digital fluency, systems thinking.
• Transferable methodology: Instructional strategies adaptable across disciplines and learning contexts.

Methodological Framework

• Problem definition: Frame the challenge and define success criteria.
• Research & analysis: Gather and interpret data with strategic use of AI tools.
• Solution design: Generate and evaluate multiple solution pathways.
• Reflection & metacognition: Make learning visible; interrogate AI’s affordances and limits.

Classroom Implementation

• Curricular fit: Integrable into any subject without disrupting schedules; conducted during regular class time.
• Learning design: Cooperative learning structures; increased student autonomy.
• Assessment: Continuous formative assessment to monitor progress and adjust instruction.

Timeline

• Oct 1 – Nov 30: Active project implementation embedded in lessons.
• December: Extended access for outcome consolidation, evaluation, and systematic reflection.

Expected Professional Gains

• Expanded pedagogical repertoire with field‑tested AI‑integration strategies.
• Greater confidence in designing and facilitating AI‑enhanced learning experiences.
• Documented case studies of AI‑supported PBL for local dissemination and future iteration.