دورية أكاديمية
A comparative analysis between ChatGPT & Google as learning platforms: The role of media-tors in the acceptance of learning platform
| العنوان: | A comparative analysis between ChatGPT & Google as learning platforms: The role of media-tors in the acceptance of learning platform |
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| المؤلفون: | Said A. Salloum, Raghad Alfaisal, Rana Saeed Al-Maroof, Rima Shishakly, Mohammed Almaiah, Romel Al-Ali |
| المصدر: | International Journal of Data and Network Science, Vol 8, Iss 4, Pp 2151-2162 (2024) |
| بيانات النشر: | Growing Science, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Social Sciences LCC:Management. Industrial management |
| مصطلحات موضوعية: | Social Sciences, Management. Industrial management, HD28-70 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2561-8148 2561-8156 |
| Relation: | http://www.growingscience.com/ijds/Vol8/ijdns_2024_122.pdf; https://doaj.org/toc/2561-8148; https://doaj.org/toc/2561-8156 |
| DOI: | 10.5267/j.ijdns.2024.6.016 |
| URL الوصول: | https://doaj.org/article/ec280fbdc0b649ce8eacf28d852369c7 |
| رقم الأكسشن: | edsdoj.280fbdc0b649ce8eacf28d852369c7 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 25618148 25618156 |
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| DOI: | 10.5267/j.ijdns.2024.6.016 |