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Monday, April 22, 2024

Balancing Precision and Flexibility: Using AI for Grading and Feedback in Education

Background

Grading or marking student work and providing timely and accurate feedback is a time-consuming and monotonous, yet essential task for their learning. Recently, Owlerai.com offers a grading service for essay questions. My prompts below were tested against it, and found to be performing well. Check it out while it is still free!

Human grading of student work is far from perfect. Research n the USA based on 30 million records has shown that teachers who mark student work alphabetically by last name award lower grades towards the final letters of the alphabet, likely due to exhaustion after hours of grading. Research in Italy among 40.000 students in Northern Italy showed that girls get systematically higher grades than boys, probably because they exhibit fewer behavior issues that disrupt classes or irritate teachers.

However, recent advancements in artificial intelligence (AI) have made it possible to use large language models (LLMs) for grading written work, potentially saving teachers time and improving the accuracy and consistency of feedback.

Prompt Design Suggestions

When using LLMs for grading written work, it's important to keep in mind that prompt design is different from programming and requires a balance between precision and flexibility. Here are some suggestions for using LLMs for grading written work:

I owe my existence to a study abroad program. That personal story is why I’m driven to help leaders and educators unlock the transformative power of education

𝗠𝘆 𝗰𝗮𝗿𝗲𝗲𝗿 𝗶𝘀 𝗱𝗿𝗶𝘃𝗲𝗻 𝗯𝘆 𝗮 𝗰𝗼𝗿𝗲 𝗯𝗲𝗹𝗶𝗲𝗳: 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝘂𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗰𝗮𝘁𝗮𝗹𝘆𝘀𝘁 𝗳𝗼𝗿 ...