Generative Artificial Intelligence in Education: Evaluating Students' Self-Efficacy and Utilization in Their Homework
DOI:
https://doi.org/10.58459/icce.2024.4885Abstract
This study examines how generative artificial intelligence (GAI) tools, such as ChatGPT, Rytr, and Grammarly, affect education. It uses the Expectation- Confirmation Model (ECM) to analyze four main factors: Expectation Confirmation, Perceived Usefulness, Satisfaction, and Information Systems Continuance. Additionally, two more factors—Utilization and Self-Efficacy—were included. Researchers conducted a survey and analyzed the responses from 31 faculty members and administrative staff. The findings show that Expectation Confirmation and Perceived Usefulness significantly influence user satisfaction and the ongoing use of GAI tools. However, satisfaction alone does not guarantee long-term use of these technologies. Educators generally believe that GAI can improve learning outcomes, and most participants want to keep using these tools. The study notes its limitations, as it mainly focuses on quantitative data and a specific educational environment.