Effectiveness of ChatGPT in remote learning environments: An empirical study with medical students in Saudi Arabia
<b>Purpose:</b> This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. <b>Methods:</b> This cross-sectional survey study recruited 386 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire designed to assess perceptions of ChatGPT's effectiveness in remote learning. The questionnaire included Likert scale questions to evaluate various aspects of ChatGPT's support in remote learning, such as personalized learning, language and communication skills, and interactive quizzing. Data were analyzed using SPSS, employing descriptive statistics, independent samples <i>t</i>-tests, one-way ANOVA, and Cronbach's alpha to evaluate reliability. <b>Results:</b> Participants mostly used ChatGPT on a weekly (43.2%) or daily (48.7%) basis, primarily on personal computers (62.5%). Mean scores for ChatGPT's support in remote learning were high for personalized learning (4.35), language and communication skills (4.23), and interactive quizzing and assessments (4.01). Statistically significant differences were found based on gender for interactive quizzing (<i>p</i> = .0177) and continuity of education (<i>p</i> = .0122). <b>Conclusion:</b> Despite certain challenges and variations in perceptions based on gender and education level, the overwhelmingly positive attitudes toward ChatGPT highlight its potential as a valuable tool in medical education.
Authors
- Ibrahim Tawfeeq Alsedrah (ORCID: https://orcid.org/0000-0003-0213-4232)
- Razaz Waheeb Attar (ORCID: https://orcid.org/0000-0001-9819-7945)
- Afnan Almuhanna (ORCID: https://orcid.org/0000-0002-9898-0881)
- Saja Almazrou (ORCID: https://orcid.org/0000-0002-9307-2913)
- Mohammed S. Alsahli
- Abeer Abdullah Alsadhan (ORCID: https://orcid.org/0000-0002-9391-6389)
- Fahad Alanezi (ORCID: https://orcid.org/0000-0002-5458-7818)
- Norah Alnaim (ORCID: https://orcid.org/0000-0002-9576-8340)
- Salma Albelali (ORCID: https://orcid.org/0000-0002-2819-5511)
- Munerah Almulhem (ORCID: https://orcid.org/0000-0001-5577-6445)
- Wejdan M. Arif (ORCID: https://orcid.org/0000-0002-7940-0984)
- Nasser Salem Alqahtani (ORCID: https://orcid.org/0000-0001-8759-1955)
- Daneah Alibrahim (ORCID: https://orcid.org/0000-0003-1353-1305)
- Amal Mubarak Bakhshwain
- Duha AlSanad
- Hoda M. AboAlsamh
- Saud Asman Almutairi
- Salem Albagmi
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Northern Border University (SA)
- Saudi Electronic University (SA)
- King Saud Medical City (SA)
- King Saud University (SA)
- Ministry of Health (SA)
- Saudi Aramco (Saudi Arabia) (SA)
- University of Business and Technology (SA)
- Prince Sultan Military College of Health Sciences
- Imam Abdulrahman Bin Faisal University (SA)
Publication Details
- Journal
- Nutrition and Health
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1177/02601060241273596
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.96