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Exploring Health Sciences Students' Perspectives on Using Generative Artificial Intelligence in Higher Education: A
Mirna Fawaz1, Wassim El-Malti2, Salman M Alreshidi3
1Faculty of Health Sciences, Nursing Department, Beirut Arab University, Beirut, Lebanon.
Lebanese health sciences students see generative artificial intelligence (AI) as beneficial for personalized learning and skill development, but express concerns about overreliance and equitable access to AI tools.
Area of Science:
- Health Sciences Education
- Educational Technology
- Artificial Intelligence in Higher Education
Background:
- Artificial intelligence (AI) adoption is transforming academic settings, offering potential for enhanced learning and streamlined processes.
- Understanding student perceptions is crucial for integrating AI effectively in higher education.
Purpose of the Study:
- To explore Lebanese health sciences students' perceptions of generative AI use in higher education.
- To identify perceived benefits and concerns associated with AI integration in academic contexts.
Main Methods:
- A qualitative descriptive research design using descriptive phenomenology.
- Semi-structured interviews were conducted with 23 health sciences students in Beirut.
- Inductive thematic analysis was applied to interview data over three months.
Main Results:
- Two main themes and eight subthemes emerged, detailing benefits and concerns.
- Identified benefits include customized learning, improved writing skills, concept development, and enhanced efficiency.
- Key concerns involve overreliance on AI, equitable access, and the need for clear policies.
Conclusions:
- Generative AI offers significant advantages for health sciences education, including personalized and efficient learning.
- Addressing concerns regarding overreliance, access, and policy is essential for maximizing AI benefits.
- Collaborative efforts are needed to ensure inclusive and effective AI integration in higher education.
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