How it works
One PDF in. Concept-level intelligence out.
Follow a single example the whole way through: Introduction to Statistics.pdf
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AI writes questions mapped to each concept.
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Detect knowledge gaps
Responses roll up into concept-level mastery.
The PDF becomes a concept map
Unclara reads the material and extracts the concepts it actually teaches, not just its headings.
Introduction to Statistics.pdf
42 pages · uploaded
Analysed in 41 seconds
Detected concepts
4 concepts · 21 questions mapped
Every question carries a concept tag
That tag is what turns a score into intelligence later.
A p-value of 0.03 at a 5% significance level means:
- The null hypothesis is proven false
- There is a 3% chance the hypothesis is true
- The result is statistically significant at that level
- The sample size was too small
In a simple linear regression, what does the slope coefficient represent?
- The expected change in y for a one-unit change in x
- The proportion of variance explained by the model
- The correlation between x and y
- The value of y when x equals its mean
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Learners open the link, answer, and every response is attributed to a concept.
Invited
92
Completed
84
Avg. time
13m
Response matrix
The gap surfaces itself
Concept-level mastery replaces the single score, and one recommendation tells you what to do next.
Concept mastery · Introduction to Statistics
Knowledge gap
Regression Analysis
Recommended: Review prerequisite concepts
AI insight
61% of learners answered regression questions incorrectly, most often confusing correlation with causation. Revisit probability and descriptive foundations before introducing inference.
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