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Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education)

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Description:Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.Table of contents1 Introduction2 Understanding Large Language Models and ChatGPT3 Educator and Student Perceptions4 Class Preparation5 Class Instruction6 Designing for the User7 Challenges Posed by Learners’ Misuse of Generative AI8 New and Emerging Pedagogical Approaches9 CS1-LLM: A Case Study of LLM Integration in an Introductory Coding Course10 ConclusionsReferencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education). To get started finding Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1009581708

Description: Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.Table of contents1 Introduction2 Understanding Large Language Models and ChatGPT3 Educator and Student Perceptions4 Class Preparation5 Class Instruction6 Designing for the User7 Challenges Posed by Learners’ Misuse of Generative AI8 New and Emerging Pedagogical Approaches9 CS1-LLM: A Case Study of LLM Integration in an Introductory Coding Course10 ConclusionsReferencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education). To get started finding Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education)

Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education)

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