As AI models like ChatGPT gain traction among students for assisting with coursework, educators face challenges in adapting their teaching methods. Professor Melkior Ornik advocates for viewing the situation akin to the advent of calculators, emphasizing the importance of teaching critical reasoning. A pilot study they conducted showed that while ChatGPT could approximately pass an engineering course, there were disparities in its performance based on the complexity of assignments. This indicates that, despite its utility, AI cannot wholly replace the learning process.
While on average ChatGPT performed pretty decently, there was still a significant disparity between the different types of problems that it could deal with or it couldn't deal with.
Overall, it performed very well, receiving a low B in the course, highlighting the capabilities and limitations of AI in academic contexts.
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