AI as a Teaching Force Multiplier — Essay Analysis and Classroom Intelligence

The Problem

The emergence of ChatGPT 3 in 2023 threatened the integrity of writing instruction as students began using it to ghostwrite assignments. The faculty formed an AI fellowship to determine how to respond — ultimately deciding to embrace AI as a tool while establishing ethical guardrails. Separately, the instructor needed to glean student learning gaps from large volumes of essays quickly enough to act on them in real time.

Step-by-Step Workflow

1. 1
   

   Microsoft Copilot

   Step 1 using Microsoft Copilot

2. 2
   

   ChatGPT

   Step 2 using ChatGPT

3. 3
   

   Claude

   Step 3 using Claude

4. 4
   

   Claude

   Step 4 using Claude

How It Works

The workflow is centered on Copilot's deep integration with Microsoft 365 — no context-switching required. Batch essay analysis provides a lay of the land before individual grading begins. Prompts are drafted iteratively — if the initial result is insufficient, the instructor sharpens the prompt based on where the AI misinterpreted the intent.

The Biggest Win

The ability to identify what students are struggling with across an entire batch of essays — almost instantly — versus what previously took months of manual reading. Allows the instructor to close learning gaps while they are still fresh.

Watch Out For

Data sensitivity and security are the primary concerns — student essays contain sensitive personal information. Institutional lock-in is an emerging risk if the university signs an exclusive AI deal. Don't stand in the way of progress — the core advice for educators is attitudinal, not technical.

Under the Hood

AI-automated email responses handle recurring student questions, saving meaningful time across a semester. The next aspiration is developing an agentic TA avatar — an AI proxy that learns the instructor's grading standards and voice well enough to grade essays on their behalf.