Master core mathematical concepts through our interactive Socratic curriculum.
Search Intent Match
This hub is for students who need free skip counting by 5, 10, 100 practice that shows the reasoning, not just the answer. It groups 30 browser-based missions around counting by equal jumps to prepare for multiplication, aligned with 2.NBT.A.2.
The companion guide explains it as: Count within 1000; skip-count by 5s, 10s, and 100s, recognizing the additive pattern at each step.
Practice Goals
Common Mistakes
Use Cases
Use before arrays and multiplication facts.
Ask what each jump counts and how many jumps were made.
Complete one mission, then say what changed, what stayed the same, and why the final answer makes sense.
Indexable Practice
Everything you need to know about the Socratic experience.
There are 30 missions in this topic — 10 Seedling (entry-level), 10 Explorer (core), and 10 Challenger (stretch). Each mission has 3 Socratic steps with adaptive hints.
This topic is aligned with CCSS 2.NBT.A.2. Open the topic guide for the standard's full text and a step-by-step breakdown of the cognitive sub-skills.
Start with Seedling missions to anchor the visual model, then move to Explorer for the core abstraction, and tackle Challenger only when Explorer is flawless. Difficulty badges on each card show this progression.
Instead of 'carrying the one', we ask: 'What happens when the ones house is full? Where do the extra ten ones go?' This helps them discover the logic of the tens place.
Yes! We focus on using rulers and understanding that measuring is just counting standardized units end-to-end.
Yes. Every mission, handbook page, and topic hub is mapped to a specific CCSS code (visible in the page header). The curriculum follows the CCSS coherence map: Grade 1 number sense → Grade 3 multiplicative thinking → Grade 6 ratio reasoning, with each grade building strictly on the prior year's foundations.
Pure discovery is inefficient — kids hit a wall and quit. Guided Discovery scaffolds the path: a careful sequence of questions, models, and adaptive hints leads the learner toward the insight without revealing it. Inquiry AI's hint system fires automatically after ~15s of hesitation or on the first mistake, escalating from a Socratic nudge to a worked example only when needed. Mistakes are diagnosed via "misconception keys" so the hint matches the actual wrong-thinking pattern.
