Training wheels made biking feel safe but taught the wrong habit; balance bikes fixed this by isolating balance. Using that metaphor, the post argues curriculum should scaffold through the ZPD: build prior structures, knowledge, and emotional safety. It shows how AI can map dependencies, spot gaps, and sequence steps.
For decades, we taught kids to ride bikes by adding training wheels and then taking those extra wheels off. It was safe until the training wheels came off, but it was bad scaffolding. It taught children to lean away from turns —a habit they had to painfully unlearn the moment the wheels came off.
Then came the "Glider" or balance bike. By removing the pedals and keeping kids feet on the ground, we isolated the hardest skill: dynamic balance. By building on a child’s existing ability to walk and then run, the balance bike scaffolds the transition from walking and running to cycling--perfectly aligning the Zone of Proximal Development (ZPD). Now we see 3-year-olds riding solo without a single bruise, bandage or tear.
The Lesson for Educators
Whether we’re teaching phonics, multi-digit division, or the Krebs cycle, the "pedals", the lack of a secure knowledge platform, is often what gets in the way of easy, natural growth into the next stage of capacity. For lack of this natural sequential alignment we replace discovery with memorization, rich narrative with dry worksheets.
A truly effective Scope and Sequence is more than a list of topics; it's a series of intentional scaffolds that align and move from one Zone of Proximal Development to the next.
· Prior Structures: Muscle memory or existing mental models, e.g. teach students to read and spell "each" before "teach" and finally "preach".
· Background Knowledge: The facts, vocabulary, and patterns that act as the floor beneath a student's movement into new knowledge.
· Affective Sensitivities: Ensure the learner feels "held" by the process so fear doesn't shut down the prefrontal cortex.
Enter the AI Assistant
The challenge for educators has always been the sheer volume of "alignment" required to scaffold 30 different students at once. This is where AI changes the game.
We can now use AI to:
1. Map Dependencies: Instantly identify the "balance skills" required before a "pedaling concept" is introduced to a smartly grouped set of students.
2. Analyze Gaps: Detect where a student’s perceptual capacities and/or background knowledge is shaky and suggest the specific "glider" intervention needed.
3. Sequence Success: Align child development stages with lesson sequences to ensure the "next step" is always within reach and readily discovered rather than laboriously memorized.
When we get the scaffolding right, the "next step" isn't an arduous task—it's a natural and even inspired evolution.
Let’s evolve away from training wheels in our curriculum and start using gliders so we can glide into competency!
Let’s experiment with AI to generate a scope and sequence that is audited for specific "scaffolding gaps". Let’s explore how we can move from training wheels to Gliders!
How gliders became models of scaffolding learning
Jon Madian
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January 06, 2026
| Post Type: Featured Blog
Using the balance-bike metaphor, this post argues strong curriculum scaffolds through the ZPD—building prior knowledge, structure, and safety—while AI helps map gaps, dependencies, and next steps.