BaiSE was designed not only to introduce educators to AI tools, but to foster a sustainable, collaborative community of practice. Educators learn best when they reflect, share experiences, and build knowledge together. Expanding the BaiSE community means growing this shared space where teachers help one another scaffold AI integration into educational practice.
Promote a Culture of Inquiry
Encourage a mindset of experimentation and shared discovery. BaiSE is designed to reduce cognitive load and support thoughtful adoption of AI, when used collectively, it becomes a launchpad for innovation.
Share Your Practices
Encourage fellow educators to visit BaiSE and explore its features, such as tool reviews, tags for filtering AI solutions, and discussion forums. Opening the door to new users helps broaden the diversity of perspectives within the community.
Collaborate in Professional Spaces
Integrate BaiSE into existing professional development contexts such as workshops, PLCs, or staff discussions. Using BaiSE as a shared reference point supports collaborative exploration of AI integration in education.
Lead or Join a Professional Learning Community (PLC)
Create or participate in BaiSE discussion forums. Engaging with peers fosters deep learning and contributes to a living, growing body of shared professional knowledge.
Reflect and Share
Contribute reflections, insights, and tool evaluations to support collective growth. Participating in peer reviews and offering feedback helps others make informed decisions and deepens your own learning.