Center for AI in Education

Our Five Areas of Focus

We help schools move beyond “AI as a gadget” and into AI as a responsible capability—one that strengthens learning, reduces unnecessary workload, and protects what matters most: human relationships, student agency, equity, privacy, and trust. These five areas describe where AI can add value in schools—supported by clear standards, practical tools, and governance-ready guidance.

Applications

Practical AI use for everyday teaching and learning—done responsibly.

High-impact, low-friction uses that improve planning, instruction, and assessment—without replacing professional judgment.

Contents include:

  • Lesson and unit design support (objectives, scaffolds, differentiation)
  • Drafting and adapting materials (readings, exemplars, questions, rubrics)
  • Feedback workflows that keep educators in control
  • Classroom-ready prompts and templates aligned with strong pedagogy

AI as Cognitive Extension

Ready-to-use learning experiences where AI catalyzes higher-order thinking.

AI is not an “answer machine”—it becomes a thinking partner that supports analysis, creativity, metacognition, argumentation, and ethical reasoning through strong learning design.

Contents include:

  • Activities for critical thinking, creativity, and problem-solving
  • Socratic dialogue, debate, simulations, and role-play for empathy/SEL
  • Inquiry, research, and writing cycles that emphasize process and reflection
  • Age-appropriate guidance (supervised use in upper primary; increasing independence from lower secondary onward)

AI for Personalization

Utilizing AI to meet all learner needs—equitably.

Teacher-led personalization that increases access, scaffolding, pacing, and practice—without lowering expectations or automating bias.

Contents include:

  • Differentiated pathways and scaffolds (without tracking or labeling)
  • Accessibility supports (language, reading levels, learning supports)
  • Formative practice and feedback loops
  • Equity and inclusion checks to ensure personalization strengthens community

AI for Process Automation

AI to make learning and school processes more efficient—without losing the human touch.

Streamline teaching & learning workflows as well as administrative routines that support learning—reducing repetitive work and freeing time for relationships, feedback, coaching, and improvement.

Contents include:

  • Teaching & learning workflows: planning cycles, resource generation, differentiated versions, feedback routines
  • Assessment and reporting support: narrative comments, progress summaries, evidence organization (with educator oversight)
  • Meeting capture and follow-through: agendas, minutes, action logs, project tracking for academic teams
  • Family communication workflows: newsletters, event communications, consistent messaging aligned to policy
  • Operational processes that enable learning: scheduling support, admissions/admin documentation, internal knowledge bases (privacy-aware)

AI Ethics & Humane Use

Safe, fair, transparent AI—protecting wellbeing, integrity, and trust.

The guardrails that enable confident adoption: privacy, safety, transparency, accountability, and a culture that strengthens integrity rather than defaulting to surveillance.

Contents include:

  • Policy guidance for privacy, safety, transparency, and accountability
  • Academic integrity practices focused on learning design (not “gotcha” detection)
  • Risk assessment and responsible data handling
  • Wellbeing, identity, and healthy human–AI relationship considerations

A shared promise across all five areas: practical tools, clear standards, and implementation support—so AI use is innovative, ethical, inclusive, and governance-ready.