Brisk: AI That Personalizes Learning Inside the Tools You Already Use

Outline

Sample flow with small groups:

-See how Brisk works where you work

-Create Bundles of instructional materials for your students

-Reading-level adaptation (1-2 minutes): how one text can be transformed for multiple learners

-Personalized feedback at scale (1-2 minutes): how teachers give every student specific feedback in a single workflow

-Safe student-facing AI practice (1-2 minutes): how teachers stay in control while students engage with AI

-Translation across 50+ languages (1 minute): supporting multilingual learners in real time

Role-specific deep dives (variable, based on visitor)

-Teachers: "Try this Monday" — concrete starter use cases

-Coaches: rollout strategy and PD implications
Leaders: privacy, alignment, sustainability, and vendor evaluation

-Admins: See how Brisk supports all staff and students

Engagement tactics

-Device-based: attendees use their own laptops to see AI working inside their existing tools

-QR code on poster for resources

-Continuous one-on-one and small-group conversation throughout the hour

Outcomes

After this session, participants will be able to:

-Identify three or more ways AI can personalize learning for students within the tools they already use.
-Describe how to evaluate AI tools for classroom use based on privacy, curriculum alignment, and workflow fit.
-Apply at least one practical AI strategy in their classroom, building, or district within the next week.
-Explain how AI can support both teacher capacity (planning, feedback, differentiation) and student learning (scaffolded practice, agency, accessibility).

Supporting research

ISTE Standards for Educators. International Society for Technology in Education. https://iste.org/iste-standards
ASCD Whole Child Initiative. https://ascd.org/whole-child
CAST. Universal Design for Learning Guidelines, version 2.2. https://udlguidelines.cast.org/
Common Sense Education. EdTech Privacy Evaluation Initiative. https://commonsense.org/education/privacy
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
EDUCAUSE. AI in Higher Education and K-12 research briefs. https://educause.edu
Brisk Teaching. Educator case studies and product impact data. https://briskteaching.com