Multinational validation of the Arabic version of the ArtificialIntelligence Literacy Scale (AILS) in university students

Abstract

Background: no arabic validated scale is available to date to measure ai literacy. the currentstudy aimed to evaluate the psychometric properties of a first arabic translation of theartificial intelligence literacy scale (ails) among university students from four arab countries(i.e. lebanon, saudi arabia, Morocco and Palestine).Methods: online cross-sectional data collection took place in July 2023 among universitystudents (N = 1849, mean age of 21.37 ± 3.84 years, 74.3% females).Results: the arabic version replicated the original four-factor structure of the ails. internalconsistency reliability coefficients were excellent (cronbach α = .92). Moreover, scalar, metricand configural invariance was supported across sex and country. Finally, concurrent validitywas established through significant negative correlations of the ails scores with levels of fearof autonomous robots and artificial intelligence.Conclusion: Making an arabic version of the ails available can guide course designs anddevelopment at the higher education system, to include ai in both curricula and assessmentsettings