Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course
<|reference_start|>Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course: Contribution: The combination of ChatGPT with traditional learning resources is very effective in computer science education. High-performing students are the ones who are using ChatGPT the most. So, a new digital trench could be rising between these students and those with lower degree of fundamentals and worse prompting skills, who may not take advantage of all the ChatGPT possibilities. Background: The irruption of GenAI such as ChatGPT has changed the educational landscape. Therefore, methodological guidelines and more empirical experiences in computer science education are needed to better understand these tools and know how to use them to their fullest potential. Research Questions: This article addresses three questions. The first two explore the degree of use and perceived usefulness of ChatGPT among computer science students to learn database administration, where as the third one explore how the utilization of ChatGPT can impact academic performance. Methodology: This contribution presents an exploratory and correlational study conducted with 37 students who used ChatGPT as a support tool to learn database administration. The student grades and a comprehensive questionnaire were employed as research instruments. Findings: The obtained results indicate that traditional learning resources, such as teacher explanations and student reports, were widely used and correlated positively with student grade. The usage and perceived utility of ChatGPT were moderate, but positive correlations between student grade and ChatGPT usage were found. Indeed, a significantly higher use of this tool was identified among the group of outstanding students.<|reference_end|>
@article{lópez-fernández2024adoption,
    title={Adoption and Impact of ChatGPT in Computer Science Education: A Case
  Study on a Database Administration Course},
    author={Daniel L'opez-Fern'andez, Ricardo Vergaz},
    journal={arXiv preprint arXiv:2407.12145},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.12145},
    primaryClass={cs.CY cs.AI}
}