Tuva is a browser-based tool where students explore real datasets by building graphs. This page takes you from a new account to your first graded assignment.

You need a teacher account first — sign up for a free Basic account.

Your first lesson, in five steps

1. Pick an activity. Open the Content Library and filter by Math or Science, then by grade level, course and concept. An activity is a ready-made lesson built on a Tuva dataset. → Search the content library

2. Create a class. A class is where you assign work and where students land when they join, so make one before you assign anything. → Create a class

3. Assign it. Click Assign on the activity. You can leave instructions for your students and set how many points it is worth. → Preview and assign an activity

4. Get your students in. Share your class code and let them register themselves, or create their accounts by hand. → Register students with your class code · Add students manually

5. Grade what comes back. Open the assignment from your dashboard to read responses by student or by question, leave feedback, and award points. → Grade an activity

When this works, your class is on your dashboard, your students see the activity when they sign in, and their responses appear under the assignment for you to grade.

What students see

Students explore the data by dragging attributes onto the axes and switching graph types in a couple of clicks. Each activity carries guiding prompts that move them from noticing something, to analysing it, to explaining it.

What you see

As students work, their responses appear on your dashboard. You can read them by student or by question — by question is the quicker way to see what the class as a whole has or has not understood — and leave feedback and points from the same screen.

What is in the Content Library

Instructional material comes in a few kinds, in Math and Science libraries that overlap:

• Datasets — a table of real-world data you and your students can graph.
• Activities — a guided lesson built on a dataset, with prompts students answer inside Tuva.
• Data stories — a 15-minute sense-making routine built around one visualization. → What data stories are
• Tasks — shorter pieces of work; the library filters for these alongside activities and data stories.

Activities differ in how much they scaffold, and in whether they introduce a concept or assess it — see introductory vs. summative activities.

Next steps

• Get to know the Tuva interface
• Create a class
• Import your own data
• Sync a roster from Google Classroom
• Standards alignment

Questions as you get going? Email support@tuvalabs.com.