Journal of Ethics in Entrepreneurship and Technology, Journal Year: 2025, Volume and Issue: unknown
Published: March 18, 2025
Graphical abstract Purpose This study aims to investigate different traits of generative pre-trained transformer (GPT) in information technology (IT) students’ enhancement coding skills within Jordanian undergraduate education. These characteristics are perceived customization, simulations, usefulness, ease use, risks and complexity. Design/methodology/approach Using a quantitative research design, this analyzes data from survey IT students interacting with GPT-based tools simulations (Three filtration steps). Structural equation modeling (SEM) is used assess the relationships between GPT attributes skill outcomes, providing robust examination theoretical models proposed. Findings The findings reveal that generated use usefulness significantly positively affect (CSE). In contrast, complexity found negatively impact these outcomes. Practical implications underscores necessity for educators, curriculum designers developers prioritize customization capabilities enhance experiences. Organizations must ensure security measures protect user build trust. An international body/commission should be launched regulate AI industry (including GPT) adherence ethical privacy standards. Originality/value Exploring addition highlighting potential drawbacks, such as risks, calls improved standards education application. also contributes growing body knowledge on application by linking two frameworks explore aspects CSE.
Language: Английский