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Generative AI and Software Engineering Education

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Manage episode 426096073 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Within a very short amount of time, the productivity and creativity improvements envisioned by generative artificial intelligence (AI), such as using tools based on large language models (LLMs), have taken the software engineering community by storm. The industry is in a race to develop your next best software development tool. Organizations are perplexed by trying to find the right balance between staying ahead in the race and protecting their data and systems from potential risks presented by using generative AI as part of their software development tool chain. There are haters, evangelists, and everything in between. Software engineering education and educators have a special role. No matter how they perceive the opportunities and challenges of generative AI approaches, software engineering educators are going through a watershed moment that will change how they educate the next generation of software engineers. In this webcast, three experts in software engineering will discuss how generative AI is influencing software engineering education and how to balance key skills development with incorporating generative AI into software engineering curricula.

What Attendees Will Learn:

• how software engineering education is challenged by the increasing popularity of generative AI tools

• how software engineering educators can take advantage of generative AI tools

• what fundamental skills will be critical to teach to software engineering students in the era of generative AI

  continue reading

151 episodes

Artwork
iconShare
 
Manage episode 426096073 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Within a very short amount of time, the productivity and creativity improvements envisioned by generative artificial intelligence (AI), such as using tools based on large language models (LLMs), have taken the software engineering community by storm. The industry is in a race to develop your next best software development tool. Organizations are perplexed by trying to find the right balance between staying ahead in the race and protecting their data and systems from potential risks presented by using generative AI as part of their software development tool chain. There are haters, evangelists, and everything in between. Software engineering education and educators have a special role. No matter how they perceive the opportunities and challenges of generative AI approaches, software engineering educators are going through a watershed moment that will change how they educate the next generation of software engineers. In this webcast, three experts in software engineering will discuss how generative AI is influencing software engineering education and how to balance key skills development with incorporating generative AI into software engineering curricula.

What Attendees Will Learn:

• how software engineering education is challenged by the increasing popularity of generative AI tools

• how software engineering educators can take advantage of generative AI tools

• what fundamental skills will be critical to teach to software engineering students in the era of generative AI

  continue reading

151 episodes

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