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

0•

Analytics & Monitoring

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

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.

Key Features

01Calculates Conditional Growth Percentiles (cGP) and Growth Index metrics

020 GitHub stars

03Automated CDF CSV data import with student record linking

04School-wide analytics including Lexile distribution and RIT scatter charts

05Individual student analysis pages with longitudinal growth tracking

06Generates benchmark classifications (E1/E2/E3) for student placement

Use Cases

01Building an academic dashboard to visualize NWEA MAP performance trends across multiple grade levels

02Generating comparative reports that measure school growth against national NWEA norms

03Automating the placement process for English Language learners based on Spring RIT scores

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add geonook/learning-management-system-esid lms-map

For use in Claude.ai and ChatGPT

Key Features

01Calculates Conditional Growth Percentiles (cGP) and Growth Index metrics

020 GitHub stars

03Automated CDF CSV data import with student record linking

04School-wide analytics including Lexile distribution and RIT scatter charts

05Individual student analysis pages with longitudinal growth tracking

06Generates benchmark classifications (E1/E2/E3) for student placement

Use Cases

01Building an academic dashboard to visualize NWEA MAP performance trends across multiple grade levels

02Generating comparative reports that measure school growth against national NWEA norms

03Automating the placement process for English Language learners based on Spring RIT scores