SIGCSE TS 2023 (series) / Paul Denny
Registered user since Fri 12 Jun 2020
Name:Paul Denny
Country:New Zealand
Affiliation:The University of Auckland
Contributions
2023
SIGCSE TS
- The Implications of Large Language Models for CS Teachers and Students
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
- First Steps Towards Predicting the Readability of Programming Error Messages
- Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems using Natural Language
- Committee Member in Subcommittee: Global
- Automatically Generating CS Learning Materials with Large Language Models
- Using Large Language Models to Enhance Programming Error Messages
- G is for Generalisation: Predicting Student Success from Keystrokes
- Programming Is Hard - Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
SIGCSE TS 2023-profile
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