December 17, 2024
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10 minutes

AI Report Card Comment Generators - Make Progress AI and ChatGPT as Options

Explore two excellent tools for generating report card comments: ChatGPT and Make Progress AI.
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Today, teachers have access to a growing array of AI tools designed to help them write report card comments more efficiently. Many educators have tried various solutions, each promising to streamline the process of composing meaningful feedback. Yet, as these tools evolve, so do the questions teachers must ask: Do they Do the suggestions sound like an educator’s authentic voice—or do they require too much editing?

When it comes to AI-generated comments, not all approaches are created equal. General-purpose solutions, while flexible, may leave teachers spending valuable time refining language and adding academic context. On the other hand, specialized AI tools, developed with education-specific needs in mind, aim to address these challenges directly. By taking a closer look at the differences between these types of solutions, teachers can make their own informed decisions about which approach best supports their work.

Specialized vs General AI as a Report Card Comment Generator

Imagine two tools: one is a multi-purpose device with broad capabilities, while the other is a single-purpose instrument designed for a specific job. In the classroom, this same principle applies in educational technology when comparing specialized and general AI solutions. Recent IDC findings claim that inadequate purpose-built capabilities of an AI model emerge as one of the causes of AI project failures.

What is Make Progress AI?

Make Progress AI is an AI report card comment generator built specifically for teachers. Teachers can use its student grouping  technology to handle multiple students' comments while keeping each one unique. Teachers can add their curriculum or existing comment banks as well. But the most important of all, Make Progress AI speaks educator language fluently. Our team built Make Progress AI with strong education-specific privacy safeguards that keep student data safe.

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What is ChatGPT?

Numbers tell compelling stories: 51% of K-12 teachers now use ChatGPT in their classrooms, with 40% making it a weekly tool. These statistics paint a clear picture of AI's growing influence in education. Yet numbers only reveal part of the story.

While ChatGPT has emerged as a widely-used AI tool in education, with teachers exploring it for various tasks including report card comments, it remains a general-purpose solution rather than an education-specific one. The system generates text based on user prompts, which if are not detailed and specific enough, may result in lot's of editing to align with academic standards and professional terminology. In our discussions with teachers who use ChatGPT, many report spending significant time revising these comments to meet proper educational standards and maintain appropriate assessment language.

AI in Education: Key Differences in Design and Purpose

These tools show clear differences when we look at their main features:

AI Tools Comparison

General-Purpose AI

Can handle many tasks (writing, coding, analysis, etc.) but requires specific instructions for each context

Example Prompt Needed:

"Write a report card comment for a Grade 3 student. Use professional language. Include academic performance in math. Mention behavioral aspects. Suggest areas for improvement. Keep it positive. Make it 3-4 sentences. Avoid clichés..."

Characteristics:

Versatile across many domains
Requires extensive prompting
May miss educational nuances

Education-Specialized AI

Deep understanding of educational context, terminology, and requirements

Simple Input Needed:

"Grade 3, strong in math problem-solving, needs work on showing solutions"

Characteristics:

Built-in educational context
Minimal prompting required
Education-specific privacy features

Time-Saving Efficiency

In one of our case studies conducted at a leading childcare academy, educators testing our software found a remarkable 60% time reduction when creating progress reports. We found that teachers could reduce their comment writing time by more than half, transforming what was once a time-consuming task into a streamlined process. This significant improvement in efficiency not only saved hours each week but also maintained the high quality and professionalism parents expect in their children's progress reports.

Make Progress AI's Student Grouping Technology

Our student grouping technology transforms how teachers create report card comments. Instead of tackling each student individually, teachers can generate multiple meaningful comments simultaneously. Teachers can group students with similar achievement levels while ensuring each comment remains unique. Our education-specific language model understands academic terminology, assessment criteria, and appropriate feedback phrasing without requiring complex instructions.

ChatGPT's Individual Approach

In contrast, ChatGPT requires a more labor-intensive process. Teachers must not only generate and edit comments one at a time but also construct elaborate prompts to achieve appropriate educational language.

A typical prompt might need to include:

  • Specific instructions about educational terminology
  • Examples of preferred comment structure
  • Guidelines for tone and professionalism
  • Detailed context about grading systems
  • Potentially examples of "good" vs "bad" comments
  • Instructions to avoid certain phrases or clichĂ©s
  • Reminders to maintain consistent language across comments

Even with such detailed prompts, teachers often need to regenerate comments multiple times to get the right balance of constructive feedback and professional language. This trial-and-error process, combined with the need to manually align outputs with educational standards, can multiply the time spent on each comment. What might seem like a simple task – "Write a comment for a student who excels in math" – actually requires several paragraphs of prompt engineering to match the natural, education-appropriate language that Make Progress AI produces much more seamlessly.

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The Bottom Line: Which Tool Should Teachers Choose?

The choice between Make Progress AI and ChatGPT for report card comments largely depends on your specific needs:

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Choose Make Progress AI if you:

  • Need to process unique, friendly language comments for multiple students efficiently
  • Require strict adherence to educational privacy standards
  • Centralize all your student feedback and comments in one platform, eliminating the need to juggle multiple tools like Google Docs.
  • Want curriculum-aligned outputs that need minimal editing
  • Value education-specific features and customization
  • Need consistent, repeatable results without mastering prompt engineering

Consider ChatGPT if you:

  • Prefer to have more control over your outputs and is okay with investing the time
  • Are comfortable with more editing
  • Don't require specialized educational features
  • Have flexibility with privacy requirements
  • Are willing to invest time in learning and implementing prompt engineering
  • Can handle variable results that require more refinement

Looking Forward

As educational technology continues to evolve, the emergence of specialized AI tools hints at a new direction. While general-purpose solutions like ChatGPT still have their benefits, many educators find that purpose-built options address more specific classroom needs. These specialized tools are increasingly designed to integrate seamlessly with curriculum standards, safeguard student privacy, and provide language that closely matches an educator’s authentic style.

For teachers aiming to streamline their report-writing process without compromising quality, such focused solutions can be worth exploring. By reducing the time spent on prompt crafting and editing, and by delivering consistent, education-ready comments, these tools may free educators to spend more time on what matters most—teaching and supporting their students. Ultimately, it comes down to each teacher’s priorities and comfort level in deciding whether a general-purpose or a specialized AI tool is the right fit for their work.