PLC Course Companion Guide Series Bundle: Blended & Personalized Learning Course (Downloadable PDF)

Your go-to PLC companion for turning blended and personalized learning into classroom practice.

The PLC Course Companion Guide Series Bundle brings together all six companion guides aligned to the Blended & Personalized Learning courses offered by TEALearn. Each guide is intentionally designed to support Professional Learning Communities as they reflect, plan, and apply course concepts in authentic instructional settings.

These guides are designed for use:

• During PLC meetings
• As course companions for individual educators
• As facilitation tools for instructional coaches and campus leaders

Each guide focuses on a key component of effective blended and personalized learning, helping teams move from learning to action.

What’s Included in the Bundle

This bundle includes six (6) downloadable PDF guides:

• Getting Started – Establishing shared understanding and readiness
• Relationships – Building strong learning-centered connections
• Student Agency – Empowering students as active owners of learning
• Rigor – Designing meaningful, challenging learning experiences
• Assessment & Data – Using evidence to inform instruction and growth
• Personalized Instruction – Meeting learner needs through intentional design

Each guide includes structured prompts, reflection questions, and practical tools to support collaborative learning and implementation.

This PLC Course Companion Guide Series was created to support educators taking either of the following TEALearn courses:

• The free Blended & Personalized Learning Program (BPL) (includes the final course in a 6-course series: Personalized Instruction in Blended & Personalized Learning, offering 18 CPE hours) 
• The paid, facilitated course version, offering 24 CPE hours 

Whether you’re guiding a team or supporting individual educators, this resource bridges online professional development with real-time collaboration and implementation.  

ESF Alignment & Product Format 

Supports Lever 5.3 - Data-driven Instruction