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

Rosli, Mohd Shafie; Awalludin, Muhammad Fairuz Nizam; Han, Cheong Tau; Saleh, Nor Shela; Noor, Harrinni Md

doi:10.1016/j.dib.2024.110463

Data in Brief

2024

DOI: 10.1016/j.dib.2024.110463

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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

Mohd Shafie Rosli,

Muhammad Fairuz Nizam Awalludin,

Cheong Tau Han

et al.

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Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling

Parveen,

Phuc,

Alghamdi

et al. 2024

Sci Rep

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ChatGPT, an advanced Artificial Intelligence tool, is getting considerable attention in higher education. ChatGPT significantly changes the student learning experience through its AI-aided support, personalized study assistance and effective educational experiences, and it has become an object of particular interest in this context. This research aimed to build a technology acceptance and usage model that encapsulates the elements influencing students’ adoption and utilization of ChatGPT, drawing on constructs from the ‘Unified Theory of Acceptance and Use of Technology’ and ‘Flow Theory’. The proposed model was found valid and prolific, with the credibility of the results relying on the self-reported surveys of 505 students from three universities in Pakistan. Structural Equation Modelling (SEM) was used to analyze data that confirmed the robustness and validity of the proposed model of the study. The study findings supported nine out of the ten proposed hypotheses. Perceived playfulness was declared the paramount predictor of behavioral intention, while perceived values and performance expectancy were the next-level predictors. Additionally, behavioral attention was a high and inspiring determinant of ChatGPT usage behavior, followed by attention focus. This analysis demonstrates a need for a thorough investigation of AI tools like ChatGPT in higher education.

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Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling

Parveen,

Phuc,

Alghamdi

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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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

Cited by 1 publication

References 17 publications

Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling

Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling

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