Topic mastery overview
Average achievement by curriculum topic
Priority signals
Where to focus attention first
CURRICULUM PERFORMANCE / 2026
Good afternoon.
Understand learning gaps. Make better curriculum decisions.
Demonstration workspace. All preloaded figures are synthetic and do not represent real students or schools.
Performance snapshot
Aggregated assessment outcomes across the selected dataset
—Across all topic assessments
—Unique learner records
—Curriculum coverage
—Mastery below 60%
01 / Learning diagnostics
Topic-level performance, sorted by priority
| CURRICULUM TOPIC | MASTERY | ASSESSMENTS | PRIORITY | RECOMMENDED FOCUS |
|---|
02 / TEXTBOOK INTELLIGENCE
Textbook performance
Observed outcomes by learning resource
Interpretation note: these are raw descriptive averages, not proof that a textbook caused better outcomes. Prior achievement, teacher, cohort, topic coverage and assessment difficulty may affect results.
03 / CURRICULUM PLANNER
Instructional-hour allocation
Transparent planning heuristic based on current mastery
| TOPIC | MASTERY | SUGGESTED HOURS | ALLOCATION |
|---|
Lower mastery receives a higher share of available hours. This is a planning aid, not an automated decision. Educators must consider curriculum requirements and classroom context.
04 / WHAT-IF SIMULATOR
Explore a planning scenario
Hypothetical time allocation, not a guaranteed forecast
Adjust additional focus hours
Choose a topic and add hypothetical teaching time. The model updates the plan; it does not invent predicted score gains.
5 h
SCENARIO SUMMARY
+5hAdditional focus time
Choose a topic and run the scenario.
Scenario is a planning illustration, not a prediction of student achievement.05 / Cohort analysis
Compare learning outcomes across classes and grades. Optional filters are based on imported metadata.
| CLASS / COHORT | GRADE | STUDENTS | TOPIC MASTERY | PRIORITY TOPICS |
|---|
06 / Error-pattern diagnosis
Frequency of tagged misconceptions and error types by curriculum topic. Requires optional CSV column error_category.
| TOPIC | ERROR CATEGORY | OCCURRENCES | SHARE OF TAGGED ERRORS |
|---|
Error tags are supplied by the assessment dataset; EDUINTEL summarizes their frequency and does not infer a misconception from a numeric score alone.
07 / Baseline-aware textbook comparison
Adjusted outcome estimates control for imported prior achievement using a linear model. Requires optional baseline_score column (0–100).
| TEXTBOOK | RAW MASTERY | BASELINE-ADJUSTED ESTIMATE | RECORDS |
|---|
No baseline scores provided. Adjusted comparison is unavailable; raw averages must not be treated as evidence of textbook effectiveness.
08 / Explainable methodologist recommendations
Every recommendation shows the data signal and the rule that triggered it.