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1.

A comparative analysis between ChatGPT & Google as learning platforms: The role of media-tors in the acceptance of learning platform Pages 2151-2162 Right click to download the paper Download PDF

Authors: Said A. Salloum, Raghad Alfaisal, Rana Saeed Al-Maroof, Rima Shishakly, Mohammed Almaiah, Romel Al-Ali

DOI: 10.5267/j.ijdns.2024.6.016

Keywords: ChatGPT, Google, Online learning platforms, Virtual reality simulations

Abstract:
Advancements in technology have had a profound impact on the way we learn, teach, and access knowledge. From online learning platforms to interactive educational games and virtual reality simulations, technology has transformed the traditional classroom into a dynamic, engaging, and inclusive space for education. One of the promising advancements in the field of artificial intelligence technology is ChatGPT which offers personalized and effective learning experiences by providing students with customized feedback and explanation. The effect of ChatGPT must be compared with the effect of Google at the educational level since both present a source of information and explanation. Thus, this study aims at investigating the differences between these two learning sources to measure their effectiveness from different perspectives. The model proposed in this study was evaluated using the PLS-SEM approach, utilizing data collected from 153 university students in the UAE. The results of this evaluation indicate that the GPT (Generative Pre-trained Transformer) has a significant impact on user acceptance, mediated by information quality, system quality, perceived learning value, and perceived satisfaction. These factors play a crucial role in determining users' acceptance of the GPT. However, it is important to note that some aspects of the model were not supported, suggesting that they do not have a significant predictive effect on the use of ChatGPT. Nonetheless, the findings of this study contribute to the existing literature on AI and environmental sustainability, providing valuable insights for practitioners, policymakers, and AI product developers. These insights can help guide the development and implementation of AI technologies in a way that aligns with users' needs and preferences while considering the larger environmental context.
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Journal: IJDS | Year: 2024 | Volume: 8 | Issue: 4 | Views: 675 | Reviews: 0

 

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