Bringing "High-level" Down to Earth: Gaining Clarity in Conversational Programmer Learning Goals
By Kathryn Cunningham, Yike Qiao, A. Feng, Eleanor O'Rourke. 2022
13 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Paul Denny
- Juho Leinonen
- Sami Sarsa
- Arto Hellas
- Stephen MacNeil
- Seth Bernstein
- Andrew Tran
- Joanne Kim
In Information Systems
- Paul Denny
- Juho Leinonen
- Sami Sarsa
- Arto Hellas
- Stephen MacNeil
- Seth Bernstein
- Andrew Tran
- Joanne Kim
In Human-Computer Interaction
- Sami Sarsa
- Juho Leinonen
- Arto Hellas
- Paul Denny
- Seth Bernstein
- Andrew Tran
- Stephen MacNeil
- Joanne Kim
Citations in the corpus
- Comparing Code Explanations Created by Students and Large Language Models (2023, background): “The ability to understand and explain code is an important skill for computer science students to develop [7, 29, 44].”
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book (2022, background): “The ability to write and modify code, understand its purpose, and articulate its functionality are key skills that CS students must develop [7, 26, 42].”
- Generating Diverse Code Explanations using the GPT-3 Large Language Model (2022, background): “Before understanding how a code snippet executes, it is often useful to understand the purpose of the code [5].”