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  • Can AI Really Grade Your Essays? ChatGPT Takes the Challenge

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21 Aug

Can AI Really Grade Your Essays? ChatGPT Takes the Challenge

  • By Stephen Smith
  • In Blog
  • 0 comment

Can AI Really Grade Your Essays? ChatGPT Takes the Challenge

In an era where artificial intelligence (AI) is making waves, from driving cars to diagnosing diseases, the next big step might just be AI-powered essay grading. Could ChatGPT, a popular language model developed by OpenAI, replace (or at least assist) human graders in evaluating essays and short-form responses? Let’s dive into some fascinating research conducted by Mark D. Shermis to explore this potential.

What’s the Big Deal About AI Essay Grading?

Imagine grading thousands of essays. It’s time-consuming, labor-intensive, and can be inconsistent—different human raters might give the same essay different scores. Enter AI. Programs that can grade essays automatically promise consistency, efficiency, and potentially lower costs. But do they really measure up to human raters? That’s what Mark D. Shermis set out to discover.

The Research Breakdown

In this study, the capabilities of ChatGPT’s large language models were put to the test to see if they could match the grading accuracy of human scorers and existing AI models used in the ASAP (Automated Student Assessment Prize) competition.

Prediction Models and Metrics

Several prediction models were evaluated, including: – Linear Regression – Random Forest – Gradient Boost – XGBoost

The effectiveness of these models was measured using something called quadratic weighted kappa (QWK), which is a fancy way of determining how well two sets of ratings (in this case, human vs. AI) agree.

Key Findings

  1. Inconsistent Performance: While ChatGPT’s gradient boost model showed QWKs close to human raters on some datasets, overall, the performance wasn’t consistent. Sometimes, the AI lagged behind human graders significantly.
  2. Model Rankings: The gradient boost model performed the best, followed by XGBoost, but both required substantial parameter tweaking to even get close to human-level performance.
  3. Essays vs. Short-Form Responses: ChatGPT did better with essays compared to short-form constructed responses. This parallels human rater performance during the original ASAP trials.

Why Does This Matter?

The importance of AI in grading isn’t just about saving teachers’ time. It’s also about ensuring fairness and consistency across board. However, the study found that ChatGPT, in its current form, needs more fine-tuning before it can be reliably used for high-stakes assessments like national exams.

Real-World Implications

Despite its inconsistencies, ChatGPT showed promise in specific situations: – Second Reader: It could act as a supplementary scorer alongside human raters to catch inconsistencies or biases. – Formative Assessments: When high stakes aren’t involved, such as homework or practice tests, ChatGPT can offer immediate feedback to students.

Future of AI Grading

The study suggests that future work should focus on improving model accuracy, handling biases, and exploring hybrid models that combine the strengths of ChatGPT with more traditional empirically-driven methods.

Key Takeaways

  • Potential: ChatGPT has shown potential to assist in grading essays, especially with domain-specific fine-tuning.
  • Inconsistent Performance: While it can sometimes match human accuracy, it often falls short, highlighting the need for further refinement.
  • Future Research: More work is needed to improve model accuracy and fairness. Hybrid models could be the sweet spot.
  • Real-World Application: ChatGPT could serve as a second reader or be used in less critical assessments, making grading more efficient and consistent.

AI in essay grading is not a replacement but a tool to aid human evaluators, ensuring fairer and quicker assessments. While ChatGPT is not yet ready to take over your final exams, it’s certainly an exciting step towards more efficient educational assessments.

Keep an eye on this space as researchers continue to fine-tune these models, making AI a reliable partner in the educational landscape.


Feel free to refine your own AI models or even your essay prompts. Remember, the potential of AI in education is vast and largely untapped. Let’s see where it takes us next!

If you are looking to improve your prompting skills and haven’t already, check out our free Advanced Prompt Engineering course.

This blog post is based on the research article “Using ChatGPT to Score Essays and Short-Form Constructed Responses” by Authors: Mark D. Shermis. You can find the original article here.

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Stephen Smith
Stephen is an AI fanatic, entrepreneur, and educator, with a diverse background spanning recruitment, financial services, data analysis, and holistic digital marketing. His fervent interest in artificial intelligence fuels his ability to transform complex data into actionable insights, positioning him at the forefront of AI-driven innovation. Stephen’s recent journey has been marked by a relentless pursuit of knowledge in the ever-evolving field of AI. This dedication allows him to stay ahead of industry trends and technological advancements, creating a unique blend of analytical acumen and innovative thinking which is embedded within all of his meticulously designed AI courses. He is the creator of The Prompt Index and a highly successful newsletter with a 10,000-strong subscriber base, including staff from major tech firms like Google and Facebook. Stephen’s contributions continue to make a significant impact on the AI community.

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