Which grade levels and subjects are supported?

The current implementation focuses on Grades 3 through 6 for Reading and Language Usage courses.

How does the skill handle student benchmark classification?

It classifies students into E1 (Advanced), E2 (Intermediate), or E3 (Developing) levels based on their Spring semester Average RIT scores for Reading and Language Usage.

Does it calculate growth metrics automatically?

Yes, it calculates the Growth Index (Actual vs. Expected) and the Conditional Growth Percentile (cGP) based on NWEA Technical Manual standards.

What data sources does the lms-map skill support?

The skill is designed to work with NWEA Combined Data File (CDF) CSV exports, providing scripts to import and link this data to existing student records.

Can I compare school data to national averages?

Yes, the skill includes reference data for NWEA Norms, allowing you to compare school-wide performance against national percentile values.

NWEA MAP Growth Integration

Name: NWEA MAP Growth Integration
Author: geonook

bygeonook

Analíticas y Monitorización

Integrates NWEA MAP Growth assessment data into the KCIS Learning Management System for tracking student progress and benchmarks.

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This skill provides a comprehensive framework for implementing NWEA MAP assessment features within an LMS environment, specifically targeting grades G3-G6. It facilitates the end-to-end data lifecycle—from importing Combined Data File (CDF) CSVs and matching student records to calculating complex metrics like Conditional Growth Percentiles (cGP). It is designed to help developers build sophisticated educational analytics dashboards, including school-wide performance charts, benchmark classifications for English Level placement (E1-E3), and detailed individual student growth trajectories compared against national norms.

Características Principales

Calculates Conditional Growth Percentiles (cGP) and Growth Index metrics
0 GitHub stars
Automated CDF CSV data import with student record linking
School-wide analytics including Lexile distribution and RIT scatter charts
Individual student analysis pages with longitudinal growth tracking
Generates benchmark classifications (E1/E2/E3) for student placement

Casos de Uso

Building an academic dashboard to visualize NWEA MAP performance trends across multiple grade levels
Generating comparative reports that measure school growth against national NWEA norms
Automating the placement process for English Language learners based on Spring RIT scores

Acerca de

Características Principales

Calculates Conditional Growth Percentiles (cGP) and Growth Index metrics
0 GitHub stars
Automated CDF CSV data import with student record linking
School-wide analytics including Lexile distribution and RIT scatter charts
Individual student analysis pages with longitudinal growth tracking
Generates benchmark classifications (E1/E2/E3) for student placement

Casos de Uso

Building an academic dashboard to visualize NWEA MAP performance trends across multiple grade levels
Generating comparative reports that measure school growth against national NWEA norms
Automating the placement process for English Language learners based on Spring RIT scores