Overview of Artificial Intelligence Literacy Scales and a Proposed Conceptual Framework
DOI:
https://doi.org/10.70860/ufnt.rbec.e19981Resumo
Visão Geral das Escalas de Alfabetização em Inteligência Artificial e uma Estrutura Conceitual Proposta
Com os recentes avanços, a alfabetização em inteligência artificial (IA) tornou-se uma preocupação fundamental, e capacitar as pessoas a se alfabetizarem em IA é crucial. Portanto, examinar as escalas de alfabetização em IA existentes orientará os próximos passos. Este estudo tem como objetivo revisar as escalas que medem a alfabetização em IA. Para isso, foram revisados vinte e cinco artigos de pesquisa. Com base na revisão da literatura existente, apresentamos uma estrutura conceitual para a alfabetização em IA. A estrutura compreende dois níveis, cada um composto por cinco fatores. O círculo interno da estrutura representa as habilidades de alfabetização em IA para usuários gerais de IA, enquanto o círculo externo representa as habilidades de alfabetização em IA para usuários especialistas em IA. Diferentemente das escalas unidimensionais existentes na literatura, a estrutura proposta oferece um avanço conceitual ao distinguir as habilidades operacionais básicas para usuários gerais das competências técnicas avançadas exigidas dos usuários especialistas. Esta estrutura destina-se a orientar pesquisadores que desejam desenvolver uma escala de alfabetização em IA, administradores escolares ou professores que desejam ensinar IA e formuladores de políticas que desejam tomar medidas em relação ao uso da IA.
Palavras-chave: alfabetização em IA, escala, adaptação, desenvolvimento, estrutura de alfabetização em IA.
Overview of Artificial Intelligence Literacy Scales and a Proposed Conceptual Framework
ABSTRACT. With recent developments, artificial intelligence (AI) literacy has become a key concern, and enabling people to become AI literate is crucial. Therefore, examining existing AI literacy scales will guide future steps. This study aims to review the scales measuring AI literacy. For this purpose, twenty-five research articles were reviewed. Based on the review of existing research, we present a conceptual framework for AI literacy. The framework comprises two levels, each consisting of five factors. The inner circle of the framework represents the AI literacy skills for general AI users, while the outer circle represents the AI literacy skills for expert AI users. Unlike existing unidimensional scales in the literature, the proposed framework provides a conceptual advancement by distinguishing basic operational skills for general users from advanced technical competencies required of expert users. This framework is intended to guide researchers who want to develop an AI literacy scale, school administrators or teachers who want to teach AI, and policymakers who want to take action regarding AI use.
Keywords: AI literacy, scale, adaptation, development, AI literacy framework.
Descripción General de las Escalas de Alfabetización en Inteligencia Artificial y un Marco Conceptual Propuesto
RESUMEN. Con los recientes avances, la alfabetización en inteligencia artificial (IA) se ha convertido en una preocupación fundamental, y capacitar a las personas para que adquieran conocimientos en IA es crucial. Por lo tanto, examinar las escalas de alfabetización en IA existentes orientará los pasos futuros. Este estudio tiene como objetivo revisar las escalas que miden la alfabetización en IA. Para ello, se revisaron veinticinco artículos de investigación. Con base en la revisión de la investigación existente, presentamos un marco conceptual para la alfabetización en IA. El marco comprende dos niveles, cada uno compuesto por cinco factores. El círculo interior del marco representa las habilidades de alfabetización en IA para usuarios generales de IA, mientras que el círculo exterior representa las habilidades de alfabetización en IA para usuarios expertos. A diferencia de las escalas unidimensionales existentes en la literatura, el marco propuesto proporciona un avance conceptual al distinguir las habilidades operativas básicas para usuarios generales de las competencias técnicas avanzadas requeridas para usuarios expertos. Este marco está diseñado para guiar a los investigadores que desean desarrollar una escala de alfabetización en IA, a los administradores escolares o docentes que desean enseñar IA, y a los responsables políticos que desean tomar medidas con respecto al uso de la IA.
Palabras clave: alfabetización en IA, escala, adaptación, desarrollo, marco de alfabetización en IA.
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Referências
Adler, R. H. (2022). Trustworthiness in qualitative research. Journal of Human Lactation, 38(4), 598-602. https://doi.org/10.1177/08903344221116620
Ahmed, S. K. (2024). The pillars of trustworthiness in qualitative research. Journal of Medicine, Surgery, and Public Health, 2, 100051. https://doi.org/10.1016/j.glmedi.2024.100051
Balıkçı, H. C., & Yıldız-Durak, H. (2025, 4-6 April). Artificial intelligence literacy (AI) scale for teachers: A Turkish scale adaptation study [Paper presentation]. AKDENIZ 14th International Conference on Social Sciences, Kyrenia, Cyprus.
Biagini, G., Cuomo, S., & Ranieri, M. (2024). Developing and validating a multidimensional AI literacy questionnaire: Operationalizing AI literacy for higher education. In Proceedings of the First International Workshop on High-Performance Artificial Intelligence Systems in Education (pp. 1-15). https://hdl.handle.net/2158/1349235
Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016). IRobot: Teaching the basics of artificial intelligence in high schools. Proceedings of the Sixth Symposium on Educational Advances in Artificial Intelligence, 30(1), 4126-4127.
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS-Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change-and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), 100014. https://doi.org/10.1016/j.chbah.2023.100014
Caspari-Sadeghi, S. (2026). AI literacy for teacher educators: A holistic curriculum for capacity-building in higher education. Frontiers in Education, 11, 1745768. https://doi.org/10.3389/feduc.2026.1745768
Chen, B., Wu, Z., & Zhao, R. (2023). From fiction to fact: The growing role of generative AI in business and finance. Journal of Chinese Economic and Business Studies, 21(4), 471-496. https://doi.org/10.1080/14765284.2023.2245279
Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6, 100171. https://doi.org/10.1016/j.caeo.2024.100171
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Sage.
Cuomo, S., Biagini, G., & Ranieri, M. (2022). Artificial intelligence literacy, what it is and how to promote it: From the analysis of the literature to a framework proposal. Media Education, 13(2), 161-172. https://doi.org/10.36253/me-13374
Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306.
Deveci-Topal, A., Toker-Gökçe, A., Dilek-Eren, C., & Kolburan-Geçer, A. (2025). Artificial intelligence literacy scale: A study of reliability and validity for a sample of Turkish university students. Journal of Learning and Teaching in Digital Age, 10(1), 58-67. https://doi.org/10.53850/joltida.1440845
Eisner, E. W. (1991). Rethinking literacy. Educational Horizons, 69(3), 120-128.
Eniş-Erdoğan, T., & Ekşioğlu, S. (2024). Adaptation of artificial intelligence literacy scale into Turkish. The Journal of Turkish Educational Sciences, 22(2), 1196-1211. https://doi.org/10.37217/tebd.1496716
Fernandez, C. G., & Calderon-Garrido, D. (2024). From educability to technological acceptability and artificial intelligence literacy: Validation of an instrument. Digital Education Review, 45, 8-15. https://doi.org/10.1344/der.2024.45.8-14
Gibbs, G. R. (2007). Analyzing qualitative data. Sage. https://doi.org/10.4135/9781849208574
Gil de Zúñiga, H., Goyanes, M., & Durotoye, T. (2024). A scholarly definition of artificial intelligence (AI): Advancing AI as a conceptual framework in communication research. Political Communication, 41(2), 317-334. https://doi.org/10.1080/10584609.2023.2290497
Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews (2nd ed.). Sage.
Gökçearslan, Ş., Yıldız-Durak, H., Günbatar, M. S., Atman-Uslu, N., & Elçi, A. N. (2024, 19-20 July). Generative artificial intelligence (GenAI) literacy scale: Validity and reliability [Paper presentation]. 4th International Conference in Scientific and Academic Research, Konya, Türkiye.
Gökçe-Tekin, Ö. (2025). Artificial intelligence literacy scale development and validation study. Western Anatolia Journal of Educational Sciences, 16(1), 418-434. https://doi.org/10.51460/baebd.1609636
Han, S., & Zhang, Y. (2025). Developing a validated assessment of artificial intelligence literacy for Chinese university students based on educational objectives taxonomy. Journal of Research on Technology in Education, 1-16. https://doi.org/10.1080/15391523.2025.2456051
Hobeika, E., Hallit, R., Malaeb, D., Sakr, F., Dabbous, M., Merdad, N., Rashid, T., Amin, R., Jebreen, K., Zarrouq, B., Alhuwailah, A., Shuwiekh, H. A. M., Hallit, S., Obeid, S., & Fekih-Romdhane, F. (2024). Multinational validation of the Arabic version of the artificial intelligence literacy scale (AILS) in university students. Cogent Psychology, 11(1), 2395637. https://doi.org/10.1080/23311908.2024.2395637
Hu, J., Zhu, K., Cheng, S., Kovalchuk, N. M., Soulsby, A., Simmons, M. J. H, Matar, O. K., & Arcucci, R. (2024). Explainable AI models for predicting drop coalescence in microfluidics device. Chemical Engineering Journal, 481, 1-6. https://doi.org/10.1016/j.cej.2023.148465
Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From kindergarten to university. 2016 IEEE Frontiers in Education Conference (FIE), 1-9. https://doi.org/10.1109/FIE.2016.7757570
Karaoğlan-Yılmaz, F. G., & Yılmaz, R. (2023). Adaptation of artificial intelligence literacy scale into Turkish. Journal of Information and Communication Technologies, 5(2), 172-190. https://doi.org/10.53694/bited.1376831
Kırksekiz, A., Yıldız, M., Kıyıcı, M., & Yıldız, M. (2024). Adaptation of artificial intelligence literacy scale: Latent profile analysis. Sakarya University Journal of Education, 14(3), 581-596. https://doi.org/10.19126/suje.1479294
Kim, S-W., & Lee, Y. (2022). The artificial intelligence literacy scale for middle school students. Journal of the Korea Society of Computer and Information, 27(3), 225-238. https://doi.org/10.9708/jksci.2022.27.03.225
Kocaman, R. (2025). A practical guideline for addressing data trustworthiness in qualitative research. In R. Throne (Ed.), Qualitative research methods for dissertation research (pp. 317-346). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3069-2.ch011
Koch, M. J., Wienrich, C., Straka, S., Latoschik, M. E., & Carolus, A. (2024). Overview and confirmatory and exploratory factor analysis of AI literacy scale. Computers and Education: Artificial Intelligence, 7, 100310. https://doi.org/10.1016/j.caeai.2024.100310
Koltay, T. (2024). From data literacy to artificial intelligence literacy: Background and approaches. Central European Library and Information Science Review (CELISR), 2(1), 41-48. https://doi.org/10.3311/celisr.38042
Kong, S. C., Cheung, W. M. Y., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence, 2, 100026. https://doi.org/10.1016/j.caeai.2021.100026
Kyngäs, H., Kääriäinen, M., & Elo, S. (2020). The trustworthiness of content analysis. In H. Kyngäs, K. Mikkonen, & M. Kääriäinen (Eds.), The application of content analysis in nursing science research (pp. 41-48). Springer. https://doi.org/10.1007/978-3-030-30199-6_5
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101
Laupichler, M. C., Aster, A., & Raupach, T. (2023a). Delphi study for the development and preliminary validation of an item set for the assessment of non-experts’ AI literacy. Computers and Education: Artificial Intelligence, 4, 100126. https://doi.org/10.1016/j.caeai.2023.100126
Laupichler, M. C., Aster, A., Haverkamp, N., & Raupach, T. (2023b). Development of the “scale for the assessment of non-experts” AI literacy’-an exploratory factor analysis. Computers in Human Behavior Reports, 12, 100338. https://doi.org/10.1016/j.chbr.2023.100338
Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 1-10. https://doi.org/10.1016/j.ijhm.2021.102930
Liu, S., & Xie, X. (2021). AI quality cultivation and application ability training for normal university students. In 7th Annual International Conference on Network and Information Systems for Computers (ICNISC) (pp. 116-120). https://doi.org/10.1109/ICNISC54316.2021.00030
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI 2020) (pp. 1-16). https://doi.org/10.1145/3313831.3376727
Ma, S., & Chen, Z. (2024). The development and validation of the artificial intelligence literacy scale for Chinese college students (AILS-CCS). IEEE Access, 14, 146429. https://doi.org/10.1109/ACCESS.2024.3468378
Presidency of the Republic of Türkiye. (2021, August 20). National Artificial Intelligence Strategy (2021-2025). Official Gazette (No. 31574). https://www.resmigazete.gov.tr/eskiler/2021/08/20210820-22.pdf
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Ng, D. T. K., Wu, W., Leung, J. K. L., & Chu, S. K. W. (2023, 10-13 July). Artificial intelligence (AI) literacy questionnaire with confirmatory factor analysis [Paper presentation]. IEEE International Conference on Advanced Learning Technologies, 233-235. https://doi.org/10.1109/ICALT58122.2023.00074
Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. British Journal of Educational Technology, 55, 1082-1104. https://doi.org/10.1111/bjet.13411
Noh, H-H., Kim, H., & Kim, M. (2024). Development and validation of a Korean generative AI literacy scale. Knowledge Management Research, 25(3), 145-171. https://doi.org/10.15813/kmr.2024.25.3.007
Nong, Y., Cui, J., He, Y., Zhang, P., & Zhang, T. (2024). Development and validation of an AI literacy scale. Journal of Artificial Intelligence Research, 1(1), 17-26. https://doi.org/10.70891/JAIR.2024.100029
Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., Lee, S., Mott, B., & Lester, J. (2023). Lessons learned for AI education with elementary students and teachers. International Journal of Artificial Intelligence in Education, 33, 267-289. https://doi.org/10.1007/s40593-022-00304-3
Polatgil, M., & Güler, A. (2023). Adaptation of artificial intelligence literacy scale into Turkish. Journal of Quantitative Research in Social Sciences, 3(2), 99-114.
Polomoshnov, J., Masso, A., & Lobanova, K. (2026). Comparing digital, data, and AI literacy: A narrative review. Information Polity, 31(1), 13-26. https://doi.org/10.1177/15701255251401863
Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28, 31-38. https://doi.org/10.1038/s41591-021-01614-0
Seker, O., Kwon, K., & Kocak, O. (2025). Exploring researchers’ artificial intelligence (AI) literacy: The mediating role of digital literacy and data literacy between 21st century skills and AI literacy. Information Development. Advance online publication. https://doi.org/10.1177/02666669251336368
Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial intelligence: Definition and background. In Mission AI. Research for policy (pp. 15-41). Springer. https://doi.org/10.1007/978-3-031-21448-6_2
Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4, 100124. https://doi.org/10.1016/j.caeai.2023.100124
Uğraş, H., Doğan, M., & Uğraş, M. (2024). Adaptation of artificial intelligence literacy scale into Turkish: A sample of pre-service teachers. e-Kafkas Journal of Educational Research, 11, 688-701. https://doi.org/10.30900/kafkasegt.1429630
Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.2022.2072768
Yuan, C. W. T., Tsai, H. S., & Chen, Y. (2024). Charting competence: A holistic scale for measuring proficiency in artificial intelligence literacy. Journal of Educational Computing Research, 62(7), 1675-1704. https://doi.org/10.1177/07356331241261206
Younis, B. (2025). The artificial intelligence literacy (AIL) scale for teachers: A tool for enhancing AI education. Journal of Digital Learning in Teacher Education, 41(1), 37-56. https://doi.org/10.1080/21532974.2024.2441682
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