The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

By Ramazan Yılmaz, F. Yılmaz. Computers and Education: Artificial Intelligence, 2023

683 citations recorded by the source corpus.

Subfields: Computer Science Applications, Education

View Paper: https://www.semanticscholar.org/paper/bba8881f49b43b5a6d018607162261606ee01c05

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

1. Jan Marco Leimeister
2. Antonia Tolzin
3. Andreas Janson
4. Nils Knoth

Citations in the corpus

• Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy (2024, neutral): “For example, Yilmaz and Yilmaz (2023a) confirmed that ChatGPT could enhance students’ computational thinking skills, programming self-efficacy, and motivation.”
• AI literacy and its implications for prompt engineering strategies (2024, background): “This effect also appears to be bi-directional, as research suggests that the use of ChatGPT and familiar learning tools can be an enhancement to motivation and self-efficacy (Sikstr ¨ om, Valentini, Sivunen, & K ¨ arkk ¨ ainen, 2022; Yilmaz & Karaoglan Yilmaz, 2023).”