This class requires ChatGPT usage, and the results are surprising

This class requires ChatGPT usage, and the results are surprising

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One of people’s biggest concerns about ChatGPT and AI chatbots is how they will affect the education system. Will the chatbots’ technical proficiency make learning certain skills for humans obsolete? To mitigate this issue, some schools are blocking student and teacher access to ChatGPT on their networks entirely. One professor has taken an entirely different approach. 

Ethan Mollick, professor at the Wharton School of the University of Pennsylvania, has embraced ChatGPT and AI use in all of his classes. His policy sets an expectation that students must use AI for class and learn how to use it well. 

Screenshot of AI policy Wharthon Professor

Ethan Mollick

The results of implementing ChatGPT into his syllabus, simply put, were “great,” according to Mollick. 

To help students maximize their AI usage, Mollick provided his students with his guide to using AI to write. He then assigned a project which required students to use at least five prompts within ChatGPT to produce a five-paragraph essay. 

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The results from the first prompt, no matter how descriptive, always resulted in a mediocre C- essay. However, using different prompts that provided better instructions, students were able to finetune the results. Students who added user knowledge and co-edited the essay with ChatGPT produced the best results. 

The mediocre results one typically sees when students copy and paste from ChatGPT are a result of students not putting in any real effort to work with the chatbot and produce quality content, Mollick contends.

“Producing good AI-written material is not actually trivial,” says Mollick. “Getting an AI to produce meaningful content requires both topic expertise and skill.”

Mollick says that even if he didn’t embrace AI, it is everywhere. Even before he taught students how to use the AI chatbot to generate project ideas, students were already doing it. The results of AI assistance in project idea generation were also positive. 

“As a result, the projects this semester are much better than previous pre-AI classes,” says Mollick. “This has led to greater project success rates and more engaged teams.” 

Mollick did notice downsides, such as students raising their hands less in class since they can just ask the chatbot later for an in-depth explanation without having to go through speaking in front of the entire class. 

Original Article

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