Start with tomorrow, not everything that was missed.

BridgeBack works backwards from the upcoming lesson to find the smallest useful route back into classroom learning.

Mia's return-to-learning journey

Twelve resources become three manageable steps.

Seven clear steps. Everyone knows their role.

AI drafts the learning materials. BridgeBack checks the answers and chooses the next steps. Teachers decide what pupils use.

01

Set the destination

The teacher selects the upcoming lesson and adds the slides, worksheets, and missed resources that provide curriculum context.

02

Build a draft concept map

Sol finds the main lesson idea, the earlier ideas pupils need, and where each one appears in the source material.

03

Let the teacher check it

The teacher reviews the map, adds or removes earlier concepts, and approves the route.

04

Create a short check-in

Terra writes a few multiple-choice questions from the approved map. The correct answers are saved with the questions.

05

Check answers using fixed rules

BridgeBack compares each answer with the saved correct answer. The AI does not grade the pupil.

06

Choose up to three next steps

BridgeBack follows the approved map and starts with the missing ideas closest to the upcoming lesson.

07

Teach and check

Luna creates short source-grounded explanations, examples, and closed checks for the selected concepts.

What “shortest path” means for binary search.

The route is not the shortest set of files. It is the smallest approved set of concepts that reconnects Mia to the target lesson.

Already understood

Variables and comparison

Diagnostic answers show Mia can store values and compare two numbers.

Gap to address

Arrays and indexing

Mia needs to locate an item by its zero-based position.

Gap to address

Trace tables

Mia needs to follow how low, high, and midpoint change.

Upcoming target

Binary search

The class can now explore halving a sorted search space.

12resources considered
2ideas to revisit
3visible next steps

It is always clear who does what.

The AI must return information in a set format, but that does not make every answer correct. Teachers still review the learning route.

AI models

Draft concept maps, short check-in questions, and learning explanations from approved lesson materials.

BridgeBack code

Check the format, reject broken concept maps, mark closed questions, choose up to three next steps, and save progress.

Teacher

Choose the upcoming lesson, correct the graph, approve the diagnostic, and decide how BridgeBack fits classroom support.

Pupil

Complete a calm check-in, stop when needed, work through the next step, and ask a teacher for help.

What the teacher sees

Source references beside each concept

Draft, approved, and generated workflow states

Editable earlier concepts before assignment

Concept-level progress without a pupil ranking

What the pupil sees

A clear explanation of why the check-in exists

Short closed questions with no marks or grade

No more than three current concepts

One explanation, example, and check at a time

See every stage with Mia and Ms Morgan.

Move between teacher and pupil views, reset the journey, and explore the complete product workflow.

Walk through the demo