ChatGPT-Related Risk Patterns and Students’ Creative Thinking Toward Tourism Statistics Course: Pretest and Posttest Quasi-Experimentation
Kareem M. Selem, Elham Gharib Saghier, Sawsan Haider Abdullah Khreis, Chai Ching Tan
Abstract
The existing research highlights the pivotal role of ChatGPT usage-related risk patterns in higher education students’ creative thinking. Data was obtained from 1443 students at seven tourism colleges in Egypt. Statistical analysis tools (i.e., SPSS v.26 and ADANCO v.2.4) were employed for path testing. PLS-SEM findings proved that students’ privacy, performance, financial, and psychological risks towards ChatGPT usage significantly decreased their creative thinking towards tourism statistics courses. Besides, students’ inherent creative abilities positively affected creative thinking. Further, SPSS-based quasi-experimental findings confirmed that students who use ChatGPT apps have several risks that influence their creative thinking. Accordingly, the existing paper provides keen insights for tourism education policymakers.