Mit nyújt(hat) a könyvtáraknak az adatműveltség és a mesterségesintelligencia-műveltség?
Absztrakt
Az információs műveltség és a médiaműveltség már régóta fontos szerepet játszik a digitális világban. Sokan jutnak arra a felismerésre, hogy a vizsgált készségek egyre inkább összekapcsolódnak a tudás különböző formáival, és nem korlátozódnak egyetlen médiumra. Ennek megfelelően e szakirodalmi szemlének a fő célja az, hogy felhívja a könyvtárosok és más szakemberek figyelmét az adatműveltség készségeinek fontosságára. Tisztában kell lennünk ugyanakkor a mesterséges intelligencia (MI) jelentőségével is, nem szem elől tévesztve e kétféle műveltség között fennálló kapcsolódásokat.
Kulcsszavak:
adatműveltség, MI-műveltség, könyvtári alkalmazásokHivatkozások
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), p. 3–10. https://doi.org/10.1177/23727322231220339
Atenas, J., Havemann, L., Timmermann, C. (2023) Reframing data ethics in research methods education: a pathway to critical data literacy, International Journal of Educational Technology in Higher Education, 20, Art. 11. https://doi.org/10.1186/s41239-023-00380-y
Braun, M., Hummel, M. (2022) Data justice and data solidarity, Patterns, 3(3), Art. 100427. https://doi.org/10.1016/j.patter.2021.100427
Carmi, E., Simeon J., Yates, E., Lockley, Pawluczuk, A. (2020) Data citizenship: rethinking data literacy in the age of disinformation, misinformation, and malinformation, Internet Policy Review, 9(2). https://doi.org/10.14763/2020.2.1481
Chiu, T. K. F. (2025) AI literacy and competency: definitions, frameworks, development, and future research directions, Interactive Learning Environments, 33(5), p. 3225–3229. https://doi.org/10.1080/10494820.2025.2514372
Cox, A. (2023) How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions, Journal of the Association for Information Science and Technology, 74(3), p. 367–380. https://doi.org/10.1002/asi.24635
Craig, K., Danish, J., Humburg, M. Hmelo-Silver, C. Szostalo, M., McCranie, A. (2021) Net.Create: Network Visualization to Support Collaborative Historical Knowledge Building, International Journal of Computer-Supported Collaborative Learning, 16, p. 185–223. https://doi.org/10.1007/s11412-021-09343-9
Cranefield, J., Lewellen, M. Lilley, M., Gillian O. (2025) Envisaging Data Nirvana: A Delphi study of ideal data culture, Journal of the Association for Information Science and Technology, 76(9), p. 1147–1161. https://doi.org/10.1002/asi.25008
Deja, M., Januszko-Szakiel, A., Korycińska, P. (2021) The impact of basic data literacy skills on work-related empowerment: The alumni perspective, College and Research Libraries, 82(5), p. 708–728. https://doi.org/10.5860/crl.82.5.708
Dencik, L., Sánchez-Monedero, J. (2022) Data justice, Internet Policy Review, 11(1). https://10.14763/2022.1.1615
Gebre, E. H., Moráles, E. (2020) How accessible' is open data? Analysis of context–related information and users' comments in open datasets, Information and Learning Sciences, 121(1–2), p. 19–36. https://doi.org/10.1108/ILS-08-2019-0086
Hancock, J. T., Naaman, M., Levy, K. (2020) AI-mediated communication: Definition, research agenda, and ethical considerations, Journal of Computer–Mediated Communication, 25(1), p. 89–100. https://doi.org/10.1093/jcmc/zmz022
Hend, K. (2024) Understanding the impact of AI Hallucinations on the university community, Special Issue for 3rd International Conference on Information Literacy, (73), p. 111–134. https://doi.org/10.70000/cj.2024.73.622
Hirvonen, N. (2024) Information literacy after the AI revolution, Journal of Information Literacy, 18(1), p. 47–54. https://doi.org/10.11645/18.1.593
IFLA FAIFE (2020) IFLA statement on libraries and artificial intelligence. IFLA. Elérhető: https://repository.ifla.org/handle/20.500.14598/1646
Kasapidis, V., Petrou, A., Kostalias, K., Konstantinidi, N. P., Kakogianni. E. (2025) AI and Data Literacy: Challenges and Opportunities for Teachers and Students, European Journal of Education and Pedagogy, 6(3), p. 7–11. https://doi.org/10.24018/ejedu.2025.6.3.957
Lo, L. S. (2025) "AI literacy: A guide for academic libraries", College & Research Libraries News, 86(3), p. 120–122. https://doi.org/10.5860/crln.86.3.120
Long, D., Magerko, B. (2020) What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, CHI '20, p. 1–16. https://doi.org/10.1145/3313831.3376727
Machin-Mastromatteo, J. D. (2025) Artificial intelligence encounters of the generative kind: Rethinking knowledge, ethics, and research, Information Development, 41(3), p. 549–558. https://doi.org/10.1177/02666669251358029
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, Art. 100041. https://doi.org/10.1016/j.caeai.2021.100041
Oliver, G., Cranefield, J., Lilley, S., Lewellen, M. (2023) Data cultures: A scoping literature review, Information Research an International Electronic Journal, 28(1), p. 3–29. https://doi.org/10.47989/irpaper950
Ongena, G. (2023) Data literacy for improving governmental performance: a competence–based approach and multidimensional operationalisation, Digital Business, 3(1), Art. 100050. https://doi.org/10.1016/j.digbus.2022.100050
Overton, M., Kleinschmit, S. (2022) Data science literacy: Toward a philosophy of accessible and adaptable data science skill development in public administration programs, Teaching Public Administration, 40(3). p. 354–365. https://doi.org/10.1177/01447394211004990
Pangrazio, L. (2026) The (im)possibility of AI literacy, learning, Media and Technology, 51(1), p. 1–7, https://doi.org/10.1080/17439884.2026.2615553
Parker, D. A., Lau, N. G., Coenraad, M., Danish, J., Craig, K. (2025) A Humanities Approach to Data Literacy: contextualizing and relating data with network visualization. In: Rajala, A., Cortez, A., Hofmann, R., Jornet, A., Lotz-Sisitka, H., & Markauskaite, L. (szerk.) Proceedings of the 19th International Conference of the Learning Sciences – ICLS 2025. p. 3043–3045. International Society of the Learning Sciences. https://doi.org/10.22318/icls2025.100832
Pinto, M., Caballero-Mariscal, D., García-Marco, F. J., Gómez-Camarero, C. (2023) A strategic approach to information literacy: Data literacy: A systematic review, El Profesional de la Información, 32(6), Art. e320609. https://doi.org/10.3145/epi.2023.nov.09
Pörtner, L., Riel, A., Klaassen, V. Sezgin, D., Kievits, Y. (2024) Data Literacy Assessment–Measuring Data Literacy Competencies to Leverage Data-Driven Organizations, Procedia CIRP, 128, p. 78–83. https://doi.org/10.1016/j.procir.2024.07.047
Schüller, K. (2022) Data and AI literacy for everyone, Statistical Journal of the IAOS, 38(2), p. 4777–4490. https://doi.org/10.3233/SJI–220941
Scott-Branch, J., Laws, R., Terzi, P. (2023) The intersection of AI, information and digital literacy: Harnessing ChatGPT and other generative tools to enhance teaching and learning. IFLA. https://repository.ifla.org/handle/20.500.14598/2788
Semeler, A. R., Pinto, A. L. (2020) Data librarianship as a field, Transinformação, 32, Art. e200034. https://doi.org/10.1590/2318-0889202032e200034
Steinerová, J. (2010) Ecological dimensions of information literacy, Information Research, 15(4). http://InformationR.net/ir/15-4/colis719.html
Steinerová, J., Ondrišová, M. (2024) Information ethics in light of bibliometric analyses: Discovering a shift to ethics of artificial intelligence, Acta Informatica Pragensia, 13(3), p. 433–459. https://doi.org/10.18267/j.aipp.237
Tiernan, P., Costello, E., Donlon, E., Parysz, M. (2023) Information and Media Literacy in the Age of AI: Options for the Future, Education Sciences, 13(9), Art. 906. https://doi.org/10.3390/educsci13090906
Vance, E. A., Glimp, D. R., Pieplow, N. D., Garrity, J. M., Melbourne, B. A. (2022) Integrating the humanities into data science education: Reimagining the introductory data science course, Statistics Education Research Journal, 21(2). https://doi.org/10.52041/serj.v21i2.42
Virkus, S., Garoufallou, E. (2020) Data science and its relationship to library and information science: A content analysis, Data Technologies and Applications, 54(5), p. 643–663. https://doi.org/10.1108/DTA-07-2020-0167
Z. Karvalics, L. (2024) Artificial intelligence and language – A different approach to the problem, Magyar Nyelvőr 148(Special Issue), p. 589–600. https://doi.org/10.38143/Nyr.2024.5.589
