Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT
204
Zitationen
21
Autoren
2024
Jahr
Abstract
Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed to investigate the factors influencing university students' attitudes and usage of ChatGPT in Arab countries. The survey instrument "TAME-ChatGPT" was administered to 2240 participants from Iraq, Kuwait, Egypt, Lebanon, and Jordan. Of those, 46.8% heard of ChatGPT, and 52.6% used it before the study. The results indicated that a positive attitude and usage of ChatGPT were determined by factors like ease of use, positive attitude towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low perceived risks, and low anxiety. Confirmatory factor analysis indicated the adequacy of the "TAME-ChatGPT" constructs. Multivariate analysis demonstrated that the attitude towards ChatGPT usage was significantly influenced by country of residence, age, university type, and recent academic performance. This study validated "TAME-ChatGPT" as a useful tool for assessing ChatGPT adoption among university students. The successful integration of ChatGPT in higher education relies on the perceived ease of use, perceived usefulness, positive attitude towards technology, social influence, behavioral/cognitive elements, low anxiety, and minimal perceived risks. Policies for ChatGPT adoption in higher education should be tailored to individual contexts, considering the variations in student attitudes observed in this study.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Autoren
- Maram Abdaljaleel
- Muna Barakat
- Mariam Alsanafi
- Nesreen A. Salim
- Husam Abazid
- Diana Malaeb
- Ali Haider Mohammed
- Bassam Abdul Rasool Hassan
- Abdulrasool M. Wayyes
- Sinan Subhi Farhan
- Sami El Khatib
- Mohamad Rahal
- Ali Sahban
- Doaa H. Abdelaziz
- Noha O. Mansour
- Reem Alzayer
- Roaa Khalil
- Feten Fekih‐Romdhane
- Rabih Hallit
- Souheil Hallit
- Malik Sallam
Institutionen
- University of Jordan(JO)
- Jordan Hospital(JO)
- Applied Science Private University(JO)
- Kuwait University(KW)
- Public Authority for Applied Education and Training(KW)
- Gulf Medical University(AE)
- Monash University Malaysia(MY)
- Alrafidain University College(IQ)
- Gulf University for Science & Technology(KW)
- Lebanese International University(LB)
- Future University in Egypt(EG)
- Al Baha University(SA)
- Mansoura University(EG)
- Tunis El Manar University(TN)
- Hôpital Razi de La Manouba(TN)
- Holy Spirit University of Kaslik(LB)
- Centre Hospitalier Universitaire Notre Dame des Secours(LB)