Adapting the Technology Acceptance Model Scale for Generative AI: Assessing Perceptions Among University Faculty and Students

Alternative Title

Adapting the Technology Acceptance Model Scale for Generative Artificial Intelligence (GenAI): Assessing Perceptions Among University Faculty and Students

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2023 : Orlando, Fla.)

Location

Cape Florida B

Start Date

25-9-2023 9:00 AM

End Date

25-9-2023 9:30 AM

Publisher

University of Central Florida Libraries

Keywords:

Technology Acceptance Model; Generative AI; Higher Education; Faculty Perceptions; Student Attitudes

Subjects

Students--Attitudes--Measurement; Artificial intelligence--Educational applications; Technology assessment--Psychological aspects; Universities and colleges--Faculty--Attitudes; Technology--Evaluation

Description

This presentation proposes an adaptation of the Technology Acceptance Model (TAM) scale (Davis, 1989), designed to evaluate the acceptance of generative AI in higher education. The proposed scale is designed to facilitate an initial understanding of the acceptance of generative AI in higher education, namely by capturing faculty and students’ perceptions on usefulness, ease of use, and their behavioral intentions towards generative AI. In addition to actively seeking feedback on the development of this survey, we are aiming to stimulate a dialogue about why students and faculty may or may not accept the use of generative AI in higher education.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Students

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Sep 25th, 9:00 AM Sep 25th, 9:30 AM

Adapting the Technology Acceptance Model Scale for Generative AI: Assessing Perceptions Among University Faculty and Students

Cape Florida B

This presentation proposes an adaptation of the Technology Acceptance Model (TAM) scale (Davis, 1989), designed to evaluate the acceptance of generative AI in higher education. The proposed scale is designed to facilitate an initial understanding of the acceptance of generative AI in higher education, namely by capturing faculty and students’ perceptions on usefulness, ease of use, and their behavioral intentions towards generative AI. In addition to actively seeking feedback on the development of this survey, we are aiming to stimulate a dialogue about why students and faculty may or may not accept the use of generative AI in higher education.