ERIC Number: EJ1470355
Record Type: Journal
Publication Date: 2025
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1369-9997
EISSN: EISSN-2304-070X
Available Date: 0000-00-00
University Educators Perspectives on ChatGPT: A Technology Acceptance Model-Based Study
Open Praxis, v17 n1 p129-144 2025
Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument comprised 40 TAM-based items in addition to items assessing participants' demographics. We used exploratory factor analysis (EFA) with principal component analysis (PCA) to assess construct validity and Cronbach's a for reliability. The final sample comprised 236 university educators, with 72% who heard of ChatGPT before the study (n = 169), of whom 76 have already used ChatGPT (45.0%). The EFA showed a significant Bartlett's test of sphericity (p < 0.001) and adequate Kaiser-Meyer-Olkin measure (KMO = 0.698). The six constructs inferred through EFA explained a total of 64% of the variance in the educators' attitude to ChatGPT. These constructs comprised 31 items classified into: (1) "Effectiveness" ([alpha] = 0.845), (2) "Anxiety" ([alpha] = 0.862), (3) "Technology readiness ([alpha] = 0.885), (4) Perceived usefulness ([alpha] = 0.848), (5) Social influence ([alpha] = 0.803), and (6) Perceived risk ([alpha] = 0.796). The study identified six key constructs that can be exploited for comprehensive understanding of the university educators' attitude towards ChatGPT. The novel survey instrument herein termed "Ed-TAME-ChatGPT" involved positive influencing factors such as perceived usefulness and effectiveness, positive attitude to technology, and social influence in addition to negative factors comprising anxiety and perceived risk.
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education, Social Influences, Anxiety, Risk, Foreign Countries
International Council for Open and Distance Education. Lilleakerveien 23, 0283 Oslo, Norway. Tel: +47-22-06-26-30; Fax: +47-22-06-26-31; e-mail: icde@icde.org; Web site: https://openpraxis.org/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Jordan
Grant or Contract Numbers: N/A
Author Affiliations: N/A