Generative AI in Education
These days everyone is using AI tools for everything from fun to educational assignments. But like any technology, AI has its own dilemmas and advantages.
On one hand, AI copilots are revolutionizing coding education by allowing professors to move beyond teaching mere syntax and focus on nurturing critical thinking and design skills. These intelligent assistants can handle the rote aspects of coding, enabling students to invest their cognitive resources in problem-solving and innovative design. As a result, classrooms are evolving into dynamic environments where understanding complex concepts and creating efficient algorithms take precedence. This shift not only accelerates learning but also prepares students for real-world challenges, fostering a deeper appreciation of the art and science behind software development.
On the other hand, AI tools are making students work less seriously and just copy-paste or plagiarize things from different GPTs.
Educators are also embracing and experimenting with new technologies. They have to teach not only foundational concepts to students but also give them awareness about the pitfalls of too much reliance on generative AI tools and their limitations.
RINA DIANE CABALLAR explains beautifully in this article:
Perhaps the most self-explanatory and comprehensive line of the article was this:
"We should be making AI a copilot - not the autopilot - for learning," says Jeanna Matthews (Professor of Computer Science at Clarkson University)
I think not only in education but in other fields as well, we should follow the above quote.
