Generative AI in Computer Science Education: Challenges and Opportunities

Cover
Title page
Imprints page
Generative AI in Computer Science Education
	Contents
	1 Introduction
		1.1 The Rise of Generative AI
		1.2 Challenges and Opportunities in Education
		1.3 Stucture and Audience
	2 Understanding Large Language Models and ChatGPT
		2.1 Image Classifier
		2.2 Large Language Models
		2.3 LLMs for Coding
	3 Educator and Student Perceptions
		3.1 Educator Perceptions
		3.2 Student Perceptions
	4 Class Preparation
		4.1 Example Code Explanations
		4.2 Worked Examples
		4.3 Programming Exercises
		4.4 Block-Based Programming Assignments
		4.5 Assessment Questions
	5 Class Instruction
		5.1 Student Resources
		5.2 Assignment Assistance
	6 Designing for the User
		6.1 Preparatory Materials
		6.2 Integrated Development Environments (IDE)
		6.3 Personalized Tutors
	7 Challenges Posed by Learners' Misuse of Generative AI
		7.1 Detecting Unauthorized Use
		7.2 Learning Impacts from Misuse
		7.3 Designing Courses to Avoid Misuse
	8 New and Emerging Pedagogical Approaches
		8.1 The Changing Industry Landscape
		8.2 Writing and Explaining Code by Prompting
	9 CS1-LLM: A Case Study of LLM Integration in an Introductory Coding Course
	10 Conclusions
References
Acknowledgments