Educator Resources

Teacher's Guides by Module

Our comprehensive teacher's guides walk through every lesson in our curriculum modules. Each guide includes:

- Learning objectives clearly stated at the start, so you know exactly what students should be able to do - Connection to standards showing exactly which NGSS performance expectations and science practices align with each lesson - Detailed instructions for setting up activities and managing classroom technology - Student handouts and worksheets ready to print or distribute digitally - Discussion prompts to facilitate peer conversation and deepen understanding - Troubleshooting tips based on feedback from hundreds of classrooms - Extensions and adaptations for different grade levels, learning needs, and classroom contexts

We offer guides for all six core modules: Environmental Data Fundamentals, Introduction to Machine Learning, AI Data Analysis Tools, Critical Thinking About AI Outputs, AI Bias and Fairness, and Responsible AI in Your Field.

Each guide is written in clear, direct language—not education jargon. You don't need a computer science background to understand what we're asking you to teach.

AI Data Literacy Curriculum Materials

Beyond individual lesson plans, we provide comprehensive curriculum materials that show how data literacy skills build across grade levels and throughout the year:

- Scope and sequence documents showing how concepts interconnect and when to teach each skill - Learning progression guides that explain what students should know at each grade band and how understanding deepens over time - Vocabulary lists with student-friendly definitions of key terms - Visual reference materials and infographics students can reference while working - Real-world context documents that help you explain why each skill matters

These materials help you see how individual lessons connect to the larger learning journey and understand where students are headed.

Assessment Rubrics & Templates

Knowing what students have learned is as important as teaching. We provide multiple assessment tools:

- Formative assessment rubrics to use during units to check understanding and identify students needing additional support - Performance task rubrics for evaluating student work on more complex, multi-step projects - Self-assessment tools that help students reflect on their own growth and thinking - Exit ticket templates for quick comprehension checks - Data analysis project rubrics specific to evaluating student work with real datasets

Each rubric uses clear performance levels and descriptive feedback language, making it easy to identify exactly what students did well and where they need support.

Downloadable Lesson Plans

Every lesson in Data in the Classroom comes as a complete, downloadable lesson plan including:

- Complete student handouts and data files - Answer keys and grading guides - Materials lists and setup instructions - Discussion prompts and extension activities - Timing guidance so you know how long each activity should take - Accommodations and modifications for diverse learners

Most lesson plans are designed for 45-60 minute class periods, though many can be shortened or extended depending on your schedule. All materials are provided in editable formats so you can customize them for your students.

Professional Development

Teaching data literacy and AI often means moving into unfamiliar territory. We provide professional development resources to help you build your own confidence:

- Self-paced tutorial videos walking through AI concepts and data analysis tools - Facilitated discussion guides for teacher learning communities exploring AI ethics and implementation - Professional development modules that you can complete independently or with colleagues - Webinar recordings featuring educators sharing their experiences implementing these resources - Curriculum coordinator guides for administrators and instructional leaders planning school or district implementation

These resources acknowledge that excellent teaching requires excellent teachers—and excellent teachers need ongoing learning opportunities.