19 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 6 cited
How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course
Andreas Scholl, Natalie Kiesler
This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically,…
cs.AI2023★ 4 cited
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback
Natalie Kiesler, Dominic Lohr, Hieke Keuning
Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to re…
cs.SE2023★ 19 cited
Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments
Natalie Kiesler, Daniel Schiffner
This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3.5 and GPT-4 in solving introductory programming tasks. Based on the performance, implications…