Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature

Roza Kaplan; Rusen Meylani

doi:10.18009/jcer.1648380

TR EN

Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature

Öz

Artificial Intelligence (AI) is transforming education, workforce development, and daily life, necessitating a comprehensive understanding of AI literacy. This study explores the dimensions of AI literacy, its integration into educational and professional settings, and the challenges associated with its implementation. Using a systematic review and qualitative synthesis, this study examines research published between 2019 and 2024, identifying six key dimensions of AI literacy: technical literacy, ethical and societal awareness, critical AI literacy, AI in everyday life, human-AI collaboration, and AI pedagogical literacy. Findings indicate that AI literacy is increasingly embedded in K-12 education, higher education, and workforce training, though disparities in accessibility, ethical concerns, and inconsistent policies persist. Key challenges include the digital divide, lack of teacher training, and lack of standardized AI literacy assessment tools. Opportunities lie in interdisciplinary learning, project-based education, and AI-driven adaptive learning environments. This study makes several unique contributions, including a comprehensive framework for AI literacy, integration of AI literacy across education and workforce domains, identification of policy gaps, and a call for standardized AI literacy assessment tools. It also emphasizes the need for ethical AI engagement and responsible AI education. Policymakers and educators should prioritize integrating AI literacy into curricula, professional development for teachers, and establishing regulatory frameworks to ensure equitable AI education. Future research should focus on longitudinal studies, cross-cultural AI literacy comparisons, and developing adaptive AI learning models to enhance AI education globally.

Anahtar Kelimeler

AI literacy, artificial intelligence education, digital literacy, ethical AI, workforce development, AI policy

Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature

Öz

Artificial Intelligence (AI) is transforming education, workforce development, and daily life, necessitating a comprehensive understanding of AI literacy. This study explores the dimensions of AI literacy, its integration into educational and professional settings, and the challenges associated with its implementation. Using a systematic review and qualitative synthesis, this study examines research published between 2019 and 2024, identifying six key dimensions of AI literacy: technical literacy, ethical and societal awareness, critical AI literacy, AI in everyday life, human-AI collaboration, and AI pedagogical literacy. Findings indicate that AI literacy is increasingly embedded in K-12 education, higher education, and workforce training, though disparities in accessibility, ethical concerns, and inconsistent policies persist. Key challenges include the digital divide, lack of teacher training, and lack of standardized AI literacy assessment tools. Opportunities lie in interdisciplinary learning, project-based education, and AI-driven adaptive learning environments. This study makes several unique contributions, including a comprehensive framework for AI literacy, integration of AI literacy across education and workforce domains, identification of policy gaps, and a call for standardized AI literacy assessment tools. It also emphasizes the need for ethical AI engagement and responsible AI education. Policymakers and educators should prioritize integrating AI literacy into curricula, professional development for teachers, and establishing regulatory frameworks to ensure equitable AI education. Future research should focus on longitudinal studies, cross-cultural AI literacy comparisons, and developing adaptive AI learning models to enhance AI education globally.

Anahtar Kelimeler

AI literacy, artificial intelligence education, digital literacy, ethical AI, workforce development, AI policy

Etik Beyan

Acknowledgement Due to the scope and method of the study, ethics committee permission was not required.

Kaynakça

Abbas, N., Ali, I., Manzoor, R., Hussain, T., & Hussain, M. H. A. (2023). Role of artificial intelligence tools in enhancing students’ educational performance at higher levels. Journal of Artificial Intelligence, Machine Learning and Neural Network, (35), 36–49. https://doi.org/10.55529/jaimlnn.35.36.49
Adeleye, O., Eden, C., & Adeniyi, I. (2024). Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 69–79. https://doi.org/10.30574/wjaets.2024.11.2.0091
Ahmad, M., & Aziz, F. (2019). Relationship between emotional intelligence and exam anxiety of higher secondary students. International e-Journal of Educational Studies, 3(6), 97–108. https://doi.org/10.31458/iejes.543549
Allen, L. K., & Kendeou, P. (2024). ED-AI Lit: An interdisciplinary framework for AI literacy in education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339
Alm, K., Melén, M., & Aggestam-Pontoppidan, C. (2021). Advancing SDG competencies in higher education: Exploring an interdisciplinary pedagogical approach. International Journal of Sustainability in Higher Education, 22(6), 1450–1466. https://doi.org/10.1108/IJSHE-10-2020-0417
Asrifan, A., Said, U. M. R., Jakob, J. C., & Wanci, R. (2024). AI Literacy. In E. Çela, N. R. Vajjhala, R. M. Potluri, P. Eappen (Eds.). Transforming vocational education and training using AI (pp. 17–48). IGI Global. https://doi.org/10.4018/979-8-3693-8252-3.ch002
Atkinson-Toal, A., & Guo, C. (2024). Generative artificial intelligence (AI) education policies of UK universities. Enhancing Teaching and Learning in Higher Education, 2, 70–94. https://doi.org/10.62512/etlhe.20
Barrera Castro, G. P., Chiappe, A., Becerra Rodriguez, D. F., & Sepulveda, F. G. (2024). Harnessing AI for education 4.0: Drivers of personalized learning. Electronic Journal of e-Learning, 22(5), 1–14. https://doi.org/10.34190/ejel.22.5.3467
Basnawi, A., & Koshak, A. (2024). Application of artificial intelligence in advanced training and education of emergency medicine doctors: A narrative review. Emergency Care and Medicine, 1(3), 247–259. https://doi.org/10.3390/ecm1030026
Bezzina, S., Pfeiffer, A., & Dingli, A. (2021). AI-enabled gamification for learning and assessment. In Proceedings of the International Conferences Mobile Learning 2021 (ML 2021) and Educational Technologies 2021 (ICEduTech, 2021). IADIS Press. https://doi.org/10.33965/ML_ICEDUTECH2021_202102C024

Biagini, G. (2024). Assessing the assessments: Toward a multidimensional approach to AI literacy. Media Education, 15(1), 91–101. https://doi.org/10.36253/me-15831
Bing, G., Mondol, E. P., Karim, A. M., & Musallami, N. A. (2024). Impact of artificial intelligence on the enhancement of quality of teaching in the private sector tertiary education: International perspective. International Journal of Academic Research in Progressive Education and Development, 13(4).
Blancia, G. V. V., Fetalvero, E. G., Baldera, P. R., & Mani, M. C. (2024). The mediating effects of artificial intelligence literacy on the association between computational thinking skills and organizational agility among secondary school teachers. Problems of Education in the 21st Century, 82(5), 616–629. https://doi.org/10.33225/pec/24.82.616
Boscardin, C. K., Gin, B., Golde, P. B., & Hauer, K. E. (2024). ChatGPT and generative artificial intelligence for medical education: Potential impact and opportunity. Academic Medicine, 99(1), 22–27. https://doi.org/10.1097/ACM.0000000000005439
Bulashevska, A., Nacsa, Z., Lang, F., Braun, M., Machyna, M., Diken, M., Childs, L., & König, R. (2024). Artificial intelligence and neoantigens: Paving the path for precision cancer immunotherapy. Frontiers in Immunology, 15, Article 1394003.
Chetty, K. (2023). AI literacy for an ageing workforce: Leveraging the experience of older workers. Obm Geriatrics, 7(3), 1–17. https://doi.org/10.21926/obm.geriatr.2303243
Choi, J.-I., Yang, E., & Goo, E.-H. (2024). The effects of an ethics education program on artificial intelligence among middle school students: Analysis of perception and attitude changes. Applied Sciences, 14(4), 1588. https://doi.org/10.3390/app14041588
Ciampa, K., Wolfe, Z. M., & Bronstein, B. (2023). ChatGPT in education: Transforming digital literacy practices. Journal of Adolescent and Adult Literacy, 67(3), 186–195. https://doi.org/10.1002/jaal.1310
Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence, AI literacy, digital literacy, AI literacy scale. Instructional Technology and Lifelong Learning. https://doi.org/10.52911/itall.1401740
Dai, Y., Chai, C.-S., Lin, P.-Y., Jong, M. S.-Y., Guo, Y., & Qin, J. (2020). Promoting students’ well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16), 6597. https://doi.org/10.3390/su12166597
Dai, Y., Lin, Z., Liu, A., Dai, D., & Wang, W. (2024). Effect of an analogy-based approach of artificial intelligence pedagogy in upper primary schools. Journal of Educational Computing Research, 61(8), 1695–1722. https://doi.org/10.1177/07356331231201342
De Silva, D., Jayatilleke, S., El-Ayoubi, M., Issadeen, Z., Moraliyage, H., & Mills, N. (2024). The human-centred design of a universal module for artificial intelligence literacy in tertiary education institutions. Machine Learning and Knowledge Extraction, 6(2), 1114–1125. https://doi.org/10.3390/make6020051
Deshen, M., & Noa, A. (2024). Librarians’ AI literacy. Proceedings of the Association for Information Science and Technology, 61(1), 883–885. https://doi.org/10.1002/pra2.1128
Du, H., Sun, Y., Jiang, H., Islam, A. Y. M. A., & Gu, X. (2024). Exploring the effects of AI literacy in teacher learning: An empirical study. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-03101-6
Dubey, A., Sharma, S. K., & Saurabh, K. P. C. (2024). A novel conceptualization of AI literacy and empowering employee experience at digital workplace using generative AI and augmented analytics: A survey. Journal of Electrical Systems, 20(2), 2582–2603. https://doi.org/10.52783/jes.2031
Familoni, B., & Onyebuchi, N. (2024). Advancements and challenges in AI integration for technical literacy: A systematic review. Engineering Science & Technology Journal, 5(4), 1415–1430. https://doi.org/10.51594/estj.v5i4.1042
Folmeg, M., Fekete, I., & Kóris, R. (2024). Towards identifying the components of students’ AI literacy: An exploratory study based on Hungarian higher education students’ perceptions. Journal of University Teaching and Learning Practice, 21(6).
Gallardo Paredes, C. M., Machuca, C., & Semblantes Claudio, Y. M. (2023). ChatGPT API: Brief overview and integration in software development. International Journal of Engineering Insights, 1(1), 25–29. https://doi.org/10.61961/injei.v1i1.7
Haleem, S., Albar, N. H., Al Fahad, M. S., & AlWasem, H. O. (2023). Knowledge, awareness, and perception of COVID-19 and artificial intelligence: A cross-sectional study among the population in Saudi Arabia. Cureus, 15(6), Article e40921.
Hannink, E., Toyé, F., Newman, M., & Barker, K. L. (2023). The experience of living with adolescent idiopathic scoliosis: A qualitative evidence synthesis using meta-ethnography. BMC Pediatrics, 23(1), 373. https://doi.org/10.1186/s12887-023-04183-y
Hattenhauer, R. (2024). AI in everyday life. In GPT & Co (Eds.), (pp. 162–190). Chapman & Hall/CRC. https://doi.org/10.1201/9781003503675-5 Huang, K.-T., & Ball, C. (2024). The influence of AI literacy on user’s trust in AI in practical scenarios: A digital divide pilot study. Proceedings of the Association for Information Science and Technology, 61(1), 937–939. https://doi.org/10.1002/pra2.1146
Huang, Z., George, M. M., Tan, Y.-R., Natarajan, K., Devasagayam, E., Tay, E., Manesh, A., Varghese, G. M., … & Chow, A. (2023). Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore. Journal of Global Antimicrobial Resistance, 35, 76–85. https://doi.org/10.1016/j.jgar.2023.08.016
Humble, N., Boustedt, J., Holmgren, H., Milutinović, G., Seipel, S., & Östberg, A.-S. (2023). Cheaters or AI-enhanced learners: Consequences of ChatGPT for programming education. Electronic Journal of e-Learning. https://doi.org/10.34190/ejel.21.5.3154
Jeon, I.-S., Kim, S.-Y., & Kang, S.-J. (2024). Developing standards for educational datasets by school level: A framework for sustainable k-12 education. Sustainability, 16(12), 4954. https://doi.org/10.3390/su16124954
Joseph, O. B., & Uzondu, C. N. (2024). Integrating AI and machine learning in STEM education: Challenges and opportunities. Computer Science & IT Research Journal, 5(8), 1732–1750. https://doi.org/10.51594/csitrj.v5i8.1379
Kavitha, K., & Joshith, V. P. (2024). The transformative trajectory of artificial intelligence in education: The two decades of bibliometric retrospect. Journal of Educational Technology Systems, 52(3), 376–405. https://doi.org/10.1177/00472395241231815
Kucirkova, N., & Leaton Gray, S. (2023). Beyond personalization: Embracing democratic learning within artificially intelligent systems. Educational Theory, 73(4), 469–489.
Kurmis, A. P. (2023). A role for artificial intelligence applications inside and outside of the operating theatre: A review of contemporary use associated with total knee arthroplasty. Arthroplasty, 5(1), 40. https://doi.org/10.1186/s42836-023-00189-0
Lameras, P., Paraskakis, I., & Konstantinidis, S. (2022). A rudimentary progression model for artificial intelligence in education competencies and skills. In M. E. Auer & T. Tsiatsos (Eds.), New realities, mobile systems and applications. Proceedings of the 14th IMCL Conference (pp. 927–936). Springer International Publishing.
Laupichler, M. C., Aster, A., Meyerheim, M., Raupach, T., & Mergen, M. (2024). Medical students’ AI literacy and attitudes towards AI: A cross-sectional two-center study using pre-validated assessment instruments. BMC Medical Education, 24(1), 401.
Lérias, E., Guerra, C., & Ferreira, P. (2024). Literacy in artificial intelligence as a challenge for teaching in higher education: A case study at Portalegre Polytechnic University. Information, 15(4), 205. https://doi.org/10.3390/info15040205
Lim, R. B. T., Tan, C. G. L., Voo, K., Lee, Y. L., & Teng, C. W. C. (2024). Student perspectives on interdisciplinary learning in public health education: Insights from a mixed-methods study. Frontiers in Public Health, 12, Article 1516525.
Lu, H., Alhaskawi, A., Dong, Y., Zou, X., Zhou, H., Ezzi, S. H. A., Kota, V. G., Hasan Abdulla Hasan Abdulla, M., & Abdalbary, S. A. (2024). Patient autonomy in medical education: Navigating ethical challenges in the age of artificial intelligence. Inquiry, 61, Article 469580241266364. https://doi.org/10.1177/00469580241266364
Lukkien, D. R. M., Nap, H. H., Buimer, H. P., Peine, A., Boon, W. P. C., Ket, J. C. F., Minkman, M. M. N., & Moors, E. H. M. (2023). Toward responsible artificial intelligence in long-term care: A scoping review on practical approaches. The Gerontologist, 63(1), 155–168. https://doi.org/10.1093/geront/gnab180
Marengo, A., Pagano, A., Pange, J., & Soomro, K. A. (2024). The educational value of artificial intelligence in higher education: A 10-year systematic literature review. Interactive Technology and Smart Education, 21(4), 625–644.
Masrek, M. N., Susantari, T., Mutia, F., Yuwinanto, H. P., & Atmi, R. T. (2024). Enabling education everywhere: How artificial intelligence empowers ubiquitous and lifelong learning. Environment-Behaviour Proceedings Journal, 9(SI18), 57–63.
Meylani, R. (2024). Artificial intelligence in the education of teachers: A qualitative synthesis of the cutting-edge research literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709
Moser, L. (2021). Design of an easy-to-use mobile augmented reality learning setting by means of a conjecture map. In 18th International Conference Cognition and Exploratory Learning in Digital Age 2021. IADIS Press.
Musigmann, M., Nacul, N. G., Kasap, D. N., Heindel, W., & Mannil, M. (2023). Use test of automated machine learning in cancer diagnostics. Diagnostics, 13(14), 2315.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487
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(3), 1082–1104.
Noy, S., Patrick, R., Capetola, T., & McBurnie, J. (2017). Inspiration from the classroom: A mixed method case study of interdisciplinary sustainability learning in higher education. Australian Journal of Environmental Education, 33(2), 97–118.
Oh, S. H., & Sanfilippo, M. (2024). University governance for responsible AI. Proceedings of the ALISE Annual Conference. https://doi.org/10.21900/j.alise.2024.1706
Ok, G., Kaya, D. & Kutluca, T. (2025). Artificial intelligence for a sustainable future in the 21st century: Impacts and reflections on education. Discourse and Communication for Sustainable Education, 16 (1), 109-136. https://doi.org/10.2478/dcse-2025-0009
Pagliara, S. M., Bonavolontà, G., Pia, M., Falchi, S., Zurru, A. L., Fenu, G., & Mura, A. (2024). The integration of artificial intelligence in inclusive education: A scoping review. Information, 15(12). https://doi.org/10.3390/info15120774
Pan, J. (2024). AI-driven English language learning program and academic writing integrity in the era of intelligent interface. English Language Teaching and Linguistics Studies, 6(4), 120. https://doi.org/10.22158/eltls.v6n4p120
Panța, N., & Popescu, N.-E. (2023). Charting the course of AI in business sustainability: A bibliometric analysis. Studies in Business and Economics, 18(3), 214–229.
Park, J., Teo, T. W., Teo, A., Chang, J., Huang, J. S., & Koo, S. (2023). Integrating artificial intelligence into science lessons: Teachers’ experiences and views. International Journal of Stem Education, 10(1). https://doi.org/10.1186/s40594-023-00454-3
Pliushch, V., & Sorokun, S. (2024). Implementation of modern pedagogical technologies in the context of increasing the efficiency of the educational process. Journal of Ecohumanism, 3(4), 1553–1561. https://doi.org/10.62754/joe.v3i4.3684
Poquet, O., & de Laat, M. (2021). Developing capabilities: Lifelong learning in the age of AI. British Journal of Educational Technology, 52(4), 1695–1708.
Preiksaitis, C., & Rose, C. (2023). Opportunities, challenges, and future directions of generative artificial intelligence in medical education: Scoping review. JMIR Medical Education, 9, Article e48785. https://doi.org/10.2196/48785
Rony, M. K. K., Numan, S. M., Johra, F. T., Akter, K., Akter, F., Debnath, M., Mondal, S., Wahiduzzaman, M., … & Parvin, M. R. (2024). Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care. Health Science Reports, 7(8), Article e70006.
Ryan, M. L., O’Donovan, T., & McNulty, J. P. (2021). Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland. Radiography, 27 (Suppl. 1), S74–S82.
Salhab, R. (2024). AI literacy across curriculum design: Investigating college instructor’s perspectives. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4426
Schleiss, J., Laupichler, M. C., Raupach, T., & Stober, S. (2023). AI course design planning framework: Developing domain-specific AI education courses. Education Sciences, 13(9), 954. https://doi.org/10.3390/educsci13090954
Scott, E. K., & White, B. R. (2024). An empirical study of cultivating innovative practice abilities in an interdisciplinary education environment in Australia. Research and Advances in Education, 3(5), 53–63. https://doi.org/10.56397/RAE.2024.05.06
Semeniuk, R., Holovnia, Y., Huda, O., & Savastru, N. (2024). Innovative methodologies and approaches to teaching with artificial intelligence in Ukrainian higher education. Futurity Education, 4(1), 24–52. https://doi.org/10.57125/FED.2024.03.25.02
Shen, Y., & Cui, W. (2024). Perceived support and AI literacy: The mediating role of psychological needs satisfaction. Frontiers in Psychology, 15, Article 1415248.
Su, J., & Yang, W. (2024). AI literacy curriculum and its relation to children’s perceptions of robots and attitudes towards engineering and science: An intervention study in early childhood education. Journal of Computer Assisted Learning, 40(1), 241–253.
Subaveerapandiyan, A., Paladhi, M., & Maruthaveeran, V. (2023). Evaluating AI literacy proficiency among LIS researchers in ASEAN. Library Hi Tech News, 41(4), 6–8.
Teikari, P., Najjar, R. P., Schmetterer, L., & Miléa, D. (2019). Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter. Therapeutic Advances in Ophthalmology, 11, Article 2515841419827172.
Temitayo Sanusi, I. (2021). Teaching machine learning in K-12 education. In Proceedings of the 17th ACM Conference on International Computing Education Research, (pp. 395–397). ACM. https://doi.org/10.1145/3446871.3469769
Thararattanasuwan, K., & Prachagool, V. (2024). Exploring perspectives of teacher students toward generative AI technologies. International Education Studies, 17(5), 22.
Trang, N. T. Q., & Thi Thu, P. (2024). The role of AI in improving student learning outcomes: Evidence in Vietnam. International Journal of Multidisciplinary Research and Analysis, 7(6). https://doi.org/10.47191/ijmra/v7-i06-48
Tümen Akyildiz, S. (2024). Enhancing or hindering? AI’s role in sparking creativity in language teaching: Insights from private high school EFL teachers. International e-Journal of Educational Studies, 8(18), 234–254. https://doi.org/10.31458/iejes.1502509
Uygun Ilikhan, S., Özer, M., Tanberkan, H., & Bozkurt, V. (2024). How to mitigate the risks of deployment of artificial intelligence in medicine? Turkish Journal of Medical Sciences, 54(3), 483–492. https://doi.org/10.55730/1300-0144.5814
Valerio, A. S. (2024). Anticipating the impact of artificial intelligence in higher education: Student awareness and ethical concerns in Zamboanga City, Philippines. Cognizance Journal of Multidisciplinary Studies, 4(6), 408–418.
Voulgari, I., Zammit, M., Stouraitis, E., Liapis, A., & Yannakakis, G. (2021). Learn to machine learn: designing a game based approach for teaching machine learning to primary and secondary education students. In Interaction design and children (pp. 593–598). ACM. https://doi.org/10.1145/3459990.3465176
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, Article 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Wei, S. (2024). Research on the disruptive transformation and future development of American teaching models in the context of intelligent transformation. Advances in Economics, Management and Political Sciences, 72(1), 201–210.
Woo, D. J., Wang, Y., Susanto, H., & Guo, K. (2023). Understanding English as a foreign language students’ idea generation strategies for creative writing with natural language generation tools. Journal of Educational Computing Research, 61(7), 1464–1482. https://doi.org/10.1177/07356331231175999
Xiao, J., Alibakhshi, G., Zamanpour, A., Zarei, M. A., Sherafat, S., & Behzadpoor, S.-F. (2024). How AI literacy affects students’ educational attainment in online learning: Testing a structural equation model in higher education context. The International Review of Research in Open and Distributed Learning, 25(3), 179–198.
Yang, W., Hu, X., Yeter, I. H., Su, J., Yang, Y., & Lee, J. C.-K. (2024). Artificial intelligence education for young children: A case study of technology‐enhanced embodied learning. Journal of Computer Assisted Learning, 40(2), 465–477.
Yetişensoy, O., & Rapoport, A. (2023). Artificial intelligence literacy teaching in social studies education. Journal of Pedagogical Research. https://doi.org/10.33902/JPR.202320866
Yuan, M., Price, R., Erp, J., & Socha, J. A. O. (2018). Designing with meaningful data: Deep personalisation in the air travel context. Proceedings of DRS, 4.
Zhai, Y., Chu, L., Liu, Y., Wang, D., & Wu, Y. (2024). Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy. PeerJ. Computer Science, 10, Article e1844. https://doi.org/10.7717/peerj-cs.1844
Zhao, L., Wu, X., & Luo, H. (2022). Developing AI literacy for primary and middle school teachers in China: Based on a structural equation modeling analysis. Sustainability, 14(21), Article 14549. https://doi.org/10.3390/su142114549
Zhou, X., & Schofield, L. (2024). Developing a conceptual framework for Artificial Intelligence (AI) literacy in higher education. Journal of Learning Development in Higher Education, (31). https://doi.org/10.47408/jldhe.vi31.1354
Zhou, X., Zhang, J., & Chan, C. (2024). Unveiling students’ experiences and perceptions of artificial intelligence usage in higher education. Journal of University Teaching and Learning Practice, 21(6). https://doi.org/10.53761/xzjprb23

Ayrıntılar

Birincil Dil

İngilizce

Konular

Öğretim Teknolojileri, Eğitim Teknolojisi ve Bilgi İşlem

Bölüm

İnceleme Makalesi

Yazarlar

Roza Kaplan ^*
0009-0000-2057-8940
Türkiye

Rusen Meylani
0000-0002-3121-6088
Türkiye

Erken Görünüm Tarihi

14 Temmuz 2025

Yayımlanma Tarihi

21 Ekim 2025

Gönderilme Tarihi

27 Şubat 2025

Kabul Tarihi

8 Mayıs 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 13 Sayı: 26

DOI

https://doi.org/10.18009/jcer.1648380

IZ

https://izlik.org/JA63UG33UL

APA

Kaplan, R., & Meylani, R. (2025). Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature. Journal of Computer and Education Research, 13(26), 790-825. https://doi.org/10.18009/jcer.1648380

AMA

1.Kaplan R, Meylani R. Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature. JCER. 2025;13(26):790-825. doi:10.18009/jcer.1648380

Chicago

Kaplan, Roza, ve Rusen Meylani. 2025. “Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature”. Journal of Computer and Education Research 13 (26): 790-825. https://doi.org/10.18009/jcer.1648380.

EndNote

Kaplan R, Meylani R (01 Ekim 2025) Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature. Journal of Computer and Education Research 13 26 790–825.

IEEE

[1]R. Kaplan ve R. Meylani, “Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature”, JCER, c. 13, sy 26, ss. 790–825, Eki. 2025, doi: 10.18009/jcer.1648380.

ISNAD

Kaplan, Roza - Meylani, Rusen. “Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature”. Journal of Computer and Education Research 13/26 (01 Ekim 2025): 790-825. https://doi.org/10.18009/jcer.1648380.

JAMA

1.Kaplan R, Meylani R. Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature. JCER. 2025;13:790–825.

MLA

Kaplan, Roza, ve Rusen Meylani. “Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature”. Journal of Computer and Education Research, c. 13, sy 26, Ekim 2025, ss. 790-25, doi:10.18009/jcer.1648380.

Vancouver

1.Roza Kaplan, Rusen Meylani. Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature. JCER. 01 Ekim 2025;13(26):790-825. doi:10.18009/jcer.1648380

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Bu eser Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Değerli Yazarlar,

JCER dergisi 2018 yılından itibaren yayımlanacak sayılarda yazarlarından ORCID bilgilerini isteyecektir. Bu konuda hassasiyet göstermeniz önemle rica olunur.

Önemli: "Yazar adından yapılan yayın/atıf taramalarında isim benzerlikleri, soyadı değişikliği, Türkçe harf içeren isimler, farklı yazımlar, kurum değişiklikleri gibi durumlar sorun oluşturabilmektedir. Bu nedenle araştırmacıların tanımlayıcı kimlik/numara (ID) edinmeleri önem taşımaktadır. ULAKBİM TR Dizin sistemlerinde tanımlayıcı ID bilgilerine yer verilecektir.

Standardizasyonun sağlanabilmesi ve YÖK ile birlikte yürütülecek ortak çalışmalarda ORCID kullanılacağı için, TR Dizin’de yer alan veya yer almak üzere başvuran dergilerin, yazarlardan ORCID bilgilerini talep etmeleri ve dergide/makalelerde bu bilgiye yer vermeleri tavsiye edilmektedir. ORCID, Open Researcher ve Contributor ID'nin kısaltmasıdır. ORCID, Uluslararası Standart Ad Tanımlayıcı (ISNI) olarak da bilinen ISO Standardı (ISO 27729) ile uyumlu 16 haneli bir numaralı bir URI'dir. http://orcid.org adresinden bireysel ORCID için ücretsiz kayıt oluşturabilirsiniz. "

Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature

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Dimensions of Artificial Intelligence Literacy: A Qualitative Synthesis of Contemporary Research Literature

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