• CONTENT
  • FEEDBACK
  • PERFORMANCE
  • HUMAN

How to identify weak curriculum modules with your AI

Connect your accelerator data to your AI client. It finds the friction points in your teaching materials so you can fix them.

Ask AI about this page

Short answer

How can I find out which parts of my curriculum aren't working?

Your AI scans student feedback and engagement metrics to spot specific modules where students struggle. You get a targeted list of content that needs a rewrite or a new approach.

Where your insights land.

The results of your analysis.

The AI categorizes its findings into these four areas.

CONTENT

Low engagement modules

The AI flags specific lessons where students stop watching or interacting. You'll see exactly where they drop off.

FEEDBACK

Sentiment trends

It groups qualitative feedback from surveys and chats. You'll see common complaints about specific topics.

PERFORMANCE

Knowledge gaps

It maps low quiz scores to specific curriculum sections. This shows you where the teaching failed to stick.

HUMAN

Manual review needed

The AI highlights edge cases or complex student questions that require your personal expertise to resolve.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of parsing through massive amounts of student data.

  1. Data ingestion

    Your AI pulls in raw student feedback and engagement logs from your existing platforms.

    identify_improvement_areas

  2. Pattern recognition

    It looks for correlations between specific modules and low satisfaction scores.

    identify_improvement_areas

  3. Gap analysis

    The agent compares student performance against the intended learning objectives.

    identify_improvement_areas

  4. Actionable reporting

    It generates a prioritized list of modules that need immediate attention.

    identify_improvement_areas

Try it

Copy these to start.

Use these prompts to kick off the analysis.

Starting points

Replace the bracketed text with your specific data sources like a Google Sheet or a Slack channel.

Accelerator Satisfaction Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_HDGanGhpLna5KSfUVZZwmCUcPl60dWiQIZ5UgfKP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Satisfaction Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-program-satisfaction-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HDGanGhpLna5KSfUVZZwmCUcPl60dWiQIZ5UgfKP/mcp"
    }
  }
}
Copy into chat04

  • Analyze the feedback in this Google Sheet and tell me which module has the most complaints.

  • Look at the engagement logs in this Slack channel and find where students are dropping off.

  • Based on the quiz results in this CSV, which curriculum topic needs more explanation?

  • Summarize the main reasons students are struggling with the module in this Notion page.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Accelerator Program Satisfaction Engine once, then ask.

Just link your data source once. Your credentials stay encrypted, and you can start asking questions immediately in your preferred AI client.

Connect Accelerator Program Satisfaction Engine to your AI

FAQ

How this task behaves.

  • 01

    Can the AI rewrite the curriculum for me?

    No. The AI identifies the problems, but you have to write the new content yourself.

  • 02

    Does the AI delete any of my student data?

    No. The AI only reads your data to perform analysis. It cannot delete or modify your original files.

  • 03

    Can it automatically update my course platform?

    No. The AI provides the insights, but you must manually apply those changes to your LMS or platform.

  • 04

    What kind of data can it read?

    It can process text-based feedback, engagement logs, and quiz results that you provide access to.

  • 05

    How does it handle student privacy?

    The AI only accesses the specific data you authorize through the connection. It doesn't have broad access to your systems.

  • More questions about Accelerator Program Satisfaction Engine? The Connector page answers them. See everything the Accelerator Program Satisfaction Engine Connector can do

Connect Accelerator Satisfaction Engine to Claude, Cursor, ChatGPT & more