Work

Generative Artificial Intelligence in Education: Insights from Rehabilitation Sciences Students

Year: 2025

Type: article

Abstract: Little is known about how students in rehabilitation sciences accept and use generative artificial intelligence (GenAI) in their educational endeavors. We explored student perceptions, acceptance, and utilization of GenAI in school and their beliefs about its usefulness and ease of use. A cross-sectional online survey was conducted of adult students enrolled in rehabilitation sciences programs within a private urban academic university. The survey was based on the Technology Acceptance Model with questions specific to the use of GenAI in school. A total of 196 responses were included in the analysis (32.9% response rate), with responses received across all rehabilitation sciences programs. Half the respondents (50%) reported using GenAI “some of the time” in school, and 6.1% indicated frequent usage of “most of” or “all” the time. Users reported using GenAI to explain and review concepts (n = 49), to generate content or ideas (n = 20), and for grammatical support (n = 21). Users perceived GenAI as more useful and easier to use than non-users. Over half of rehabilitation sciences students use GenAI for school; however, only 6.1% report routine usage. Given the expected growth and potential of GenAI, faculty should explore strategies to facilitate the acceptance and appropriate use of this innovative technology.

Source: Education Sciences

DOI: 10.3390/educsci15030380

Authors: Robert Dekerlegand, Alison Bell, Malachy J. Clancy, Erin R. Pletcher, Travis Pollen

Institution: Thomas Jefferson University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Good health and well-being

Open Access status: gold

Estimated APC paid: $2,172