Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended technology acceptance model, HTMT, covariance-based SEM, and SmartPLS.

In light of the increasing importance digital economy, the significance of computational thinking has grown exponentially, becoming imperative in both workplace and academic settings such as universities. This article addresses the critical need to comprehend the factors influencing the acceptance of computational thinking. The dataset introduces an extensive questionnaire comprising five constructs and 25 items, rooted in the extended Technology Acceptance Model.

Technology enhanced learning acceptance among university students during Covid-19: Integrating the full spectrum of Self-Determination Theory and self-efficacy into the Technology Acceptance Model.

This study proposes a unified theoretical model to integrate the full spectrum of Self-Determination Theory, self-efficacy, and the Technology Acceptance Model in understanding the acceptance of technology enhanced learning among university students during the Covid-19 pandemic. In the proposed theoretical model, 7 hypotheses were tested to understand the acceptance of technology enhanced learning. A total of 303 university students participated in this study.