{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T02:35:21Z","timestamp":1785551721518,"version":"3.56.0"},"reference-count":31,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>With the increasing use of large-scale language model-based AI tools in modern learning environments, it is important to understand students\u2019 motivations, experiences, and contextual influences. These tools offer new support dimensions for learners, enhancing academic achievement and providing valuable resources, but their use also raises ethical and social issues. In this context, this study aims to systematically identify factors influencing the usage intentions of text-based GenAI tools among undergraduates. By modifying the core variables of the Unified Theory of Acceptance and Use of Technology (UTAUT) with AI literacy, a survey was designed to measure GenAI users\u2019 intentions to collect participants\u2019 opinions. The survey, conducted among business students at a university in South Korea, gathered 239 responses during March and April 2024. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software (Ver. 4.0.9.6). The findings reveal that performance expectancy significantly affects the intention to use GenAI, while effort expectancy does not. In addition, AI literacy and social influence significantly influence performance, effort expectancy, and the intention to use GenAI. This study provides insights into determinants affecting GenAI usage intentions, aiding the development of effective educational strategies and policies to support ethical and beneficial AI use in academic settings.<\/jats:p>","DOI":"10.3390\/informatics11030054","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T09:22:42Z","timestamp":1721985762000},"page":"54","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["AI Literacy and Intention to Use Text-Based GenAI for Learning: The Case of Business Students in Korea"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3264-7215","authenticated-orcid":false,"given":"Moonkyoung","family":"Jang","sequence":"first","affiliation":[{"name":"College of Business, Gachon University, 1342 Seongnam-daero, Soojeong-gu, Seongnam 13120, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"281","DOI":"10.37867\/TE140127","article-title":"Impact of artificial intelligence (AI) on education: Changing paradigms and approaches","volume":"14","author":"Alam","year":"2022","journal-title":"Towards Excell."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lo, C.K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Educ. Sci., 13.","DOI":"10.3390\/educsci13040410"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ad\u0131g\u00fczel, T., Kaya, M.H., and Cansu, F.K. (2023). Revolutionizing Education with AI: Exploring the Transformative Potential of ChatGPT, Contemporary Educational Technology.","DOI":"10.30935\/cedtech\/13152"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"64","DOI":"10.69554\/GXBQ7871","article-title":"Analysis of ChatGPT and the future of artificial intelligence: Its effect on teaching and learning","volume":"3","author":"Sah","year":"2024","journal-title":"J. AI Robot. Workplace Autom."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1080\/02188791.2024.2305170","article-title":"A bibliometric analysis of generative AI in education: Current status and development","volume":"44","author":"Liu","year":"2024","journal-title":"Asia Pac. J. Educ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1111\/eje.12937","article-title":"ChatGPT\u2014A double-edged sword for healthcare education? Implications for assessments of dental students","volume":"28","author":"Ali","year":"2024","journal-title":"Eur. J. Dent. Educ."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Wang, Y., Liu, K.S.X., and Jiang, M.Y.C. (2024). Examining the moderating effect of motivation on technology acceptance of generative AI for English as a foreign language learning. Educ. Inf. Technol., 1\u201329.","DOI":"10.1007\/s10639-024-12763-3"},{"key":"ref_8","first-page":"100481","article-title":"ChatGPT and learning outcomes in tourism education: The role of digital literacy and individualized learning","volume":"34","author":"Demir","year":"2024","journal-title":"J. Hosp. Leis. Sport Tour. Educ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1038\/s42256-021-00417-9","article-title":"AI-generated characters for supporting personalized learning and well-being","volume":"3","author":"Pataranutaporn","year":"2021","journal-title":"Nat. Mach. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mohammadkarimi, E. (2023). Teachers\u2019 reflections on academic dishonesty in EFL students\u2019 writings in the era of artificial intelligence. J. Appl. Learn. Teach., 6.","DOI":"10.37074\/jalt.2023.6.2.10"},{"key":"ref_11","first-page":"1","article-title":"Editorial: ChatGPT: Challenges, opportunities, and implications for teacher education","volume":"23","author":"Trust","year":"2023","journal-title":"Contemp. Issues Technol. Teach. Educ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5224","DOI":"10.1038\/s41598-024-55686-2","article-title":"Bias of AI-generated content: An examination of news produced by large language models","volume":"14","author":"Fang","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_13","unstructured":"Scott-Branch, J., Laws, R., and Terzi, P. (2024, May 30). The Intersection of AI, Information and Digital Literacy: Harnessing ChatGPT and Other Generative Tools to Enhance Teaching and Learning. 88th IFLA World Library and Information Congress (WLIC). Available online: https:\/\/www.ifla.org\/resources\/?_sfm_unitid=105138&_sfm_resource_type=All."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1002\/jaal.1310","article-title":"ChatGPT in education: Transforming digital literacy practices","volume":"67","author":"Ciampa","year":"2023","journal-title":"J. Adolesc. Adult Lit."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Huang, C.W., Coleman, M., Gachago, D., and Van Belle, J.P. (2023). Using ChatGPT to Encourage Critical AI Literacy Skills and for Assessment in Higher Education. Annual Conference of the Southern African Computer Lecturers\u2019 Association, Springer Nature Switzerland.","DOI":"10.1007\/978-3-031-48536-7_8"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Weimann-Sandig, N. (2023, January 3\u20135). Digital literacy and artificial intelligence\u2013does chat GPT introduce the end of critical thinking in higher education?. Proceedings of the 15th International Conference on Education and New Learning Technologies, Palma, Spain.","DOI":"10.21125\/edulearn.2023.0011"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1080\/1358684X.2024.2309995","article-title":"Awareness of artificial intelligence as an essential digital literacy: ChatGPT and Gen-AI in the classroom","volume":"31","author":"Bender","year":"2024","journal-title":"Change Engl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"102537","DOI":"10.1016\/j.techsoc.2024.102537","article-title":"Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial intelligence","volume":"77","author":"Schiavo","year":"2024","journal-title":"Technol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"157","DOI":"10.2307\/41410412","article-title":"Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology","volume":"36","author":"Venkatesh","year":"2012","journal-title":"MIS Q."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"100127","DOI":"10.1016\/j.caeai.2023.100127","article-title":"Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy","volume":"4","author":"Southworth","year":"2023","journal-title":"Comput. Educ. Artif. Intell."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1324","DOI":"10.1080\/0144929X.2022.2072768","article-title":"Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale","volume":"42","author":"Wang","year":"2023","journal-title":"Behav. Inf. Technol."},{"key":"ref_22","unstructured":"UNESCO (2024, May 30). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. Available online: https:\/\/www.gcedclearinghouse.org\/sites\/default\/files\/resources\/190175eng.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1007\/s43681-021-00096-7","article-title":"Artificial intelligence in education: Addressing ethical challenges in K-12 settings","volume":"2","author":"Akgun","year":"2022","journal-title":"AI Ethics"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1186\/s41239-023-00411-8","article-title":"Students\u2019 voices on generative AI: Perceptions, benefits, and challenges in higher education","volume":"20","author":"Chan","year":"2023","journal-title":"Int. J. Educ. Technol. High. Educ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Ballardini, R.M., He, K., and Roos, T. (2018). AI-generated content: Authorship and inventorship in the age of artificial intelligence. Online Distribution of Content in the EU 2019, Edward Elgar Publishing.","DOI":"10.4337\/9781788119900.00015"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"100041","DOI":"10.1016\/j.caeai.2021.100041","article-title":"Conceptualizing AI literacy: An exploratory review","volume":"2","author":"Ng","year":"2021","journal-title":"Comput. Educ. Artif. Intell."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"21582440211055721","DOI":"10.1177\/21582440211055721","article-title":"Exploring behavioral intention to use a mobile health education website: An extension of the UTAUT 2 model","volume":"11","author":"Yu","year":"2021","journal-title":"Sage Open"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Hair, J.F., Sarstedt, M., Ringle, C.M., and Gudergan, S.P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage.","DOI":"10.3926\/oss.37"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1016\/j.dss.2012.05.021","article-title":"Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents","volume":"53","author":"Chiu","year":"2012","journal-title":"Decis. Support Syst."},{"key":"ref_30","first-page":"91","article-title":"A practical guide to factorial validity using PLS-graph: Tutorial and annotated example","volume":"16","author":"Gefen","year":"2005","journal-title":"Commun. Assoc. Inf. Syst."},{"key":"ref_31","first-page":"4","article-title":"A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems","volume":"19","author":"Rahmi","year":"2018","journal-title":"Turk. Online J. Distance Educ."}],"container-title":["Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2227-9709\/11\/3\/54\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:24:10Z","timestamp":1760109850000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2227-9709\/11\/3\/54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,26]]},"references-count":31,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,9]]}},"alternative-id":["informatics11030054"],"URL":"https:\/\/doi.org\/10.3390\/informatics11030054","relation":{},"ISSN":["2227-9709"],"issn-type":[{"value":"2227-9709","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,26]]}}}