AI in Coding: How can code generation models support developing computational thinking skills?

The use of code generation models in programming support activities

Bachelor thesis (2023)

Authors

R. Mulder Electrical Engineering, Mathematics and Computer Science

Contributors

E.A. Aivaloglou Web Information Systems - EEMCS (supervisor 1)
X. Zhang Web Information Systems - EEMCS (supervisor 1)
T.J. Viering Pattern Recognition and Bioinformatics - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Rick Mulder
GPT Programming LLM
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Published Date

28-06-2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Using AI to support programming has recently gained a lot of popularity. Researchers have been developing tools to support programming activities using GPT models such as ChatGPT and Codex In this paper, we present the most common pro-gramming activities that these models can support. We show that they have a varying range of success
across solving Code Generation, Code Explana-tion,and Data Visualisation problems, but are often able to solve around 50% of problems on the first try. Multiple tries can raise these averages to 75%. Additionally, specialized tools using GPT models have seen promising results regarding Data Visuali-sation, Software Vulnerability Detection, and Gen-
eral Programming Support. This shows a promis-ing trend, and can mean we will all be pair pro-gramming with AI in the near-future.