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Effectiveness of ChatGPT in remote learning environments: An empirical study with medical students in Saudi Arabia.
Alnaim, Norah; AlSanad, Duha Sami; Albelali, Salma; Almulhem, Munerah; Almuhanna, Afnan Fahd; Attar, Razaz Waheeb; Alsahli, Mohammed; Albagmi, Salem; Bakhshwain, Amal Mubarak; Almazrou, Saja; Almutairi, Saud Asman; AboAlsamh, Hoda M; Arif, Wejdan M; Alsadhan, Abeer Abdullah; Alsedrah, Ibrahim Tawfeeq; Alanezi, Fahad; Alibrahim, Daneah; Alqahtani, Nasser S.
Afiliação
  • Alnaim N; Department of Computer, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Jubail, Saudi Arabia.
  • AlSanad DS; Saudi Aramco, Dhahran, Saudi Arabia.
  • Albelali S; Department of Computer, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Jubail, Saudi Arabia.
  • Almulhem M; Department of Mathematics, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Jubail, Saudi Arabia.
  • Almuhanna AF; Radiology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Attar RW; Management Department, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Alsahli M; Health Informatics Department, College of Health Science, Saudi Electronic University, Riyadh, Saudi Arabia.
  • Albagmi S; Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
  • Bakhshwain AM; Ministry of Health, King Saud Medical City, Riyadh, Saudi Arabia.
  • Almazrou S; Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
  • Almutairi SA; Imam Abdlurahman Bin Faisal University, Dammam, Saudi Arabia.
  • AboAlsamh HM; Imam Abdlurahman Bin Faisal University, Dammam, Saudi Arabia.
  • Arif WM; Department of Radiological Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
  • Alsadhan AA; Computer Science Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Alsedrah IT; College of Business Administration, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Alanezi F; Department Management Information Systems, College of Business Administration, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Alibrahim D; College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Alqahtani NS; Community Health Department, Northern Border University, Arar, Saudi Arabia.
Nutr Health ; : 2601060241273596, 2024 Aug 16.
Article em En | MEDLINE | ID: mdl-39150345
ABSTRACT

Purpose:

This study aims to assess the effectiveness of ChatGPT in remote learning among medical students.

Methods:

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 t-tests, one-way ANOVA, and Cronbach's alpha to evaluate reliability.

Results:

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 (p = .0177) and continuity of education (p = .0122).

Conclusion:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nutr Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nutr Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita