Student Survey on ChatGPT in South Korean E-Learning

Survey data from 350 university students in South Korea examines the integration of ChatGPT into e-learning. The study, authored by Usman Rehman, uses a cross-sectional survey analyzed with PLS-SEM to assess factors like perceived usefulness and student empowerment. The dataset was last updated in April 2026.

Use Cases

• Analyze the relationship between perceived_usefulness and student_empowerment scores.
• Model the mediating effect of student_satisfaction on continuance_intention using structural equation modeling.
• Examine how inclusivity_perception moderates the link between ChatGPT_accessibility and sustainable_learning_outcomes.
• Investigate correlations between perceived_ease_of_use and student_engagement metrics from the survey.

Strengths

• Data from 350 student respondents provides a foundation for statistical analysis.
• Analysis is grounded in established theoretical frameworks: TAM, SDT, and Sustainable Education Framework.
• Clear methodological description using PLS-SEM for model testing.

Limitations

• Small sample size of 350 limits generalizability of findings.
• Data is cross-sectional, preventing causal or longitudinal analysis.
• Geographic scope is limited to South Korean universities, introducing regional bias.

Provenance

Source

Usman Rehman via figshare.

Collection Method

Cross-sectional survey administered to university students.

Time Range

Survey collection date is not specified; publication date is 2026.

Freshness

Data reflects a survey conducted prior to the 2026 publication date; specific collection date is null.

Geography

South Korea (universities).