Interdisciplinary Journal of Virtual Learning in Medical Sciences

Interdisciplinary Journal of Virtual Learning in Medical Sciences

Psychometric Properties of the Persian ChatGPT Literacy Scale in Higher Education: A Transcultural Adaptation and Validation Study

Document Type : Original Article

Authors
1 Department of Educational Sciences, Farhangian University, Tehran, Iran
2 Department, of Psychology and Counselling, Farhangian University, Tehran, Iran
3 Department of Educational Sciences, Faculty of Humanities, Shahid Rajaee Teacher Training University, Tehran, Iran
10.30476/ijvlms.2026.111068.1382
Abstract
Background: As ChatGPT becomes embedded in higher education, sound instruments are needed to measure students’ literacy in using this technology. Nevertheless, no Persian tool had undergone cultural adaptation and psychometric validation. This study sought to translate and culturally adapt the ChatGPT Literacy Scale (CLS) and examine its psychometric performance among Iranian higher education students.
Methods: A transcultural adaptation and psychometric validation design was implemented from May through December 2025 with 371 students from five Iranian universities. The original 25-item CLS developed by Lee and Park (2024) was translated and culturally adapted according to the World Health Organization procedure for translating and adapting instruments. Two bilingual translators independently produced and reconciled Persian forward translations, after which a third bilingual translator, blinded to the source questionnaire, back-translated the reconciled version into English before expert review and administration. Evaluation included face and content validity, construct validity using exploratory and confirmatory factor analyses, and internal consistency based on Cronbach’s alpha and McDonald’s omega.
Results: Face validity was supported, as every item had an impact score exceeding 1.5. Content validity was also satisfactory, with mean Content Validity Index (CVI) and Content Validity Ratio (CVR) values of 0.82 and 0.88, respectively. Exploratory Factor Analysis (EFA) identified five factors accounting for 57% of total variance, with item loadings ranging from 0.43 to 0.83. Confirmatory Factor Analysis (CFA) supported the first-order five-factor solution and demonstrated satisfactory model fit (χ²/df = 2.73, RMSEA = 0.069, GFI = 0.90, CFI = 0.97, NFI = 0.95, NNFI = 0.96, SRMR = 0.05). Internal consistency was satisfactory; Cronbach’s alpha and McDonald’s omega ranged from 0.72 to 0.89 across subscales, and both were 0.89 for the total scale.
Conclusion: The culturally adapted Persian CLS demonstrated psychometric performance and can be considered a valid and reliable measure of ChatGPT literacy among Iranian higher education students. It can support researchers and educators in assessing AI-related competencies and developing evidence-informed initiatives that promote effective, ethical, and responsible use of ChatGPT in academic environments.

Highlights

Abbas Taghizade (Google Scholar)

Keywords


Articles in Press, Accepted Manuscript
Available Online from 01 June 2026

  • Receive Date 17 April 2026
  • Revise Date 16 May 2026
  • Accept Date 26 May 2026
  • Publish Date 01 June 2026