Peer Learning Communities

Title of the Good Practice

Peer Learning Communities

Description of the Good Practice

Peer Learning Communities (PLC) are groups of educators who come together to collaborate, share knowledge, and support each other in their professional development journey. In the context of AI tools and teaching methods, PLCs provide a structured platform for educators to learn from each other’s experiences and stay updated on the latest trends and innovations in education technology.

PLCs can be formed either within an institution, across institutions, or even virtually. They can consist of educators with varying levels of expertise in AI and teaching. The key is to create a diverse group that brings different perspectives and experiences to the community

PLCs typically hold regular meetings, which can be in person or virtual. These meetings serve as opportunities for educators to discuss challenges, share best practices, and brainstorm solutions related to the integration of AI tools in teaching. The frequency of meetings can vary, but consistency is important. They might work on joint projects, share lesson plans and resources, or even co-teach online courses. This collaborative approach fosters a sense of community and collective learning.


  • Edu PLC
  • AI Ed Collab
  • Ed Tech Mentors



Number of participants

Small groups/large groups

Type of training


Number and type of exercises

Some suggested types of excerises are: Case Studies, Inclusive Scenario Discussion, Tech Tool Showcase, Coaching Practices, Personal Story Sharing, Learning Experience Roundtable


Up to a few hours

Target Audience

Adult Education Instructors, K-12 Teachers, Educational Technology Specialists, Education Policymakers, Parent-Teacher Associations.

Competences/skills that you will require

Communication Skills, Active Listening, Digital Literacy, Problem-Solving, Mentorship Skills, Networking, Project Management.


Consideration as a GP

PLCs create a collaborative and supportive environment where educators can share their experiences, challenges, and successes. Measurable Indicator: Increased participation and engagement in PLC meetings and discussions.

Educators can share resources, articles, research findings, and teaching materials related to AI in education, enhancing the quality of instruction.

Measurable Indicator: Quantity and diversity of shared resources.

PLCs often establish evaluation and feedback mechanisms that help members continuously improve their AI integration strategies. Measurable Indicator: Evidence of feedback-driven improvements in teaching methods.