Chinese Undergraduate Students perceive value in adopting Artificial Intelligence (AI) in education
This data deposit accompanies the research study investigating the perceptions of management undergraduate students in Hangzhou, China, regarding the adoption of Artificial Intelligence (AI) in their education. The dataset provides valuable insights into students' attitudes, intentions, and factors influencing the integration of AI technologies in higher education.
Steps to reproduce
Demographic Profiles: The dataset includes demographic information such as gender and age distribution of the surveyed students. Survey Responses: Responses from the online self-administered questionnaire distributed among Chinese students aged 18 to 21 are included. The questionnaire covered various dimensions, including intention to use AI technologies, perceived relative advantage, trialability, perceived complexity, compatibility, and observability. Sampling Information: Details about the random sampling method employed, sample size estimation, and response rate are included to ensure transparency in the data collection process Statistical Analysis Output: The data undergoes thorough statistical analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). Outputs include path coefficients, standard errors, p-values, and other relevant statistics. Descriptive Statistics: Descriptive statistics such as mean, minimum, maximum, standard deviation, skewness, and kurtosis are provided for each variable.