Summary of Can Generative Ai and Chatgpt Outperform Humans on Cognitive-demanding Problem-solving Tasks in Science?, by Xiaoming Zhai et al.
Can generative AI and ChatGPT outperform humans on cognitive-demanding problem-solving tasks in science?
by Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma
First submitted to arxiv on: 7 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study examines whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans face when solving problems. By comparing ChatGPT and GPT-4’s performance on 2019 NAEP science assessments with students, researchers found that both AI models consistently outperformed most students as cognitive demands increased. However, the AI models were not statistically sensitive to these increases except for Grade 4. The findings imply a need for changes in educational objectives, emphasizing advanced cognitive skills over solely relying on intense tasks. This approach would foster critical thinking and analytical skills. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Generative artificial intelligence (GAI) tools are being used more often, but can they really help students solve problems better? A recent study compared ChatGPT and GPT-4’s performance on science tests with students to see if the AI models could do a better job. The results showed that both AI models did better than most students as the questions got harder. But there was an exception – Grade 4 students. This study shows that we might need to change how we teach students and test them so they can work well with these AI tools in the future. |
Keywords
» Artificial intelligence » Gpt
