Preparing library and information studies students for an AI-driven future: student perceptions and curriculum insights from the iSchool at University College Dublin (UCD), Ireland

Authors

  • Stefanie Havelka University College Dublin
  • Claire McGuinness University College Dublin

DOI:

https://doi.org/10.47989/ir31iConf64119

Keywords:

Artificial intelligence, LIS education, LIS students, Self-perception

Abstract

Introduction. This paper reports on a study of MLIS (Master of Library and Information Studies) and Graduate Diploma LIS students at UCD’s iSchool, examining their perceptions of AI’s impact on the LIS workplace, its influence on their professional competence and preparedness for roles requiring AI knowledge and skills, and the AI-related content they deem essential for the curriculum.

Method. An anonymous online survey was conducted targeting MLIS and Graduate Diploma LIS students at UCD’s iSchool in Dublin, Ireland.

Analysis. A mixed-methods analysis of the survey data was used. Quantitative responses were analysed using SurveyMonkey's reporting features, while qualitative responses to two open-ended questions were coded thematically in Microsoft Excel.

Results. The results reveal students’ ambivalence and ethical concerns about AI’s impact on their profession, alongside interest in developing AI competencies. They recognise efficiency benefits but emphasise human-centred services and call for integrating ethics, privacy, and AI literacy into the curriculum to prepare for evolving roles.

Conclusion. AI offers efficiency and workflow improvements for LIS, but students’ ethical concerns highlight the need for curricula that combine technical engagement with critical reflection to prepare graduates for responsible use.

References

Adetayo, A. J. (2023). Artificial intelligence chatbots in academic libraries: The rise of ChatGPT. Library Hi Tech News, 40(3), 18–21. https://doi.org/10.1108/LHTN-01-2023-0007

Andres, L. (2025). Designing & Doing Survey Research. SAGE Publications, Ltd. https://doi.org/10.4135/9781526402202

Association of College and Research Libraries. (2025, October). AI competencies for academic library workers. https://web.archive.org/web/20251017161606/https://www.ala.org/sites/default/files/2025-10/acrl_ai_competencies.pdf

Chartered Institute of Library and Information Professionals. (2021). The Professional Knowledge and Skills Base (PKSB): Introduction and overview. CILIP. https://web.archive.org/web/20250303204948/https://cdn.ymaws.com/www.cilip.org.uk/resource/resmgr/cilip/membership/benefits/pksb/pksb_intro_overview_v5.pdf

Cox, A. (2024). Developing a library strategic response to artificial intelligence (Report). The University of Sheffield. https://doi.org/10.15131/shef.data.24631293.v1.

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), 367–380. https://doi.org/10.1002/asi.24635.

European Parliament & Council of the European Union. (2024, July 12). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act), OJ L 2024/1689. /web/20250915103424/https://eur-lex.europa.eu/eli/reg/2024/1689/oj

Fruehauf, E., Beman-Cavallaro, A., & Schmidt, L. (2024). Developing a foundation for the informational needs of generative AI users through the means of established interdisciplinary relationships. The Journal of Academic Librarianship, 50(3), Article 102876. https://doi.org/10.1016/j.acalib.2024.102876.

Ghosh, S., & McCoy, D. (2024). Looking ahead: Incorporating AI in MLIS competencies. School of Information Student Research Journal, 14(1), Article 3. https://doi.org/10.55917/2575-2499.1535

Havelka, S. (2013). Mobile information literacy: Supporting students’ research and information needs in a mobile world. Internet Reference Services Quarterly, 18(3–4), 189–209. https://doi-org.ucd.idm.oclc.org/10.1080/10875301.2013.856366

Hodonu-Wusu, J. O. (2025). The rise of artificial intelligence in libraries: The ethical and equitable methodologies, and prospects for empowering library users. AI and Ethics, 5(2), 755–765. https://doi.org/10.1007/s43681-024-00432-7

Hossain, Z., Biswas, M. S., & Khan, G. (2025). AI literacy of library and information science students: A study of Bangladesh, India and Pakistan. Journal of Librarianship and Information Science. Advance online publication. https://doi.org/10.1177/09610006241309323

Houston, A. B., & Corrado, E. M. (2023). Embracing ChatGPT: Implications of emergent language models for academia and libraries. Technical Services Quarterly, 40(2), 76–91. https://doi.org/10.1080/07317131.2023.2187110

Huang, Z.-X., Gasco-Hernandez, M., Prasad, A., & Gil-Garcia, J. R. (2024). Public libraries and their role in raising awareness about AI and fostering inclusive civic engagement: Current practices and future development. Proceedings of the 25th Annual International Conference on Digital Government Research, 703–710. https://doi.org/10.1145/3657054.3657137

Information Commissioner's Office. (2025, March). Definitions. In Explaining decisions made with artificial intelligence: Part 1 – The basics of explaining AI. https://web.archive.org/web/20250912135124/https:/ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/explaining-decisions-made-with-artificial-intelligence/part-1-the-basics-of-explaining-ai/definitions/

Johnson, S., Owens, E., Menendez, H., & Kim, D. (2024). Using ChatGPT-generated essays in library instruction. The Journal of Academic Librarianship, 50(2), Article 102863. https://doi.org/10.1016/j.acalib.2024.102863

Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From kindergarten to university. In Proceedings of the 2016 IEEE Frontiers in Education Conference (FIE). IEEE. https://doi.org/10.1109/FIE.2016.7757570

Kuckartz, U., & McWhertor, A. (2014). Qualitative text analysis: A guide to methods, practice & using software. SAGE.

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 ’20). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727

Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29. https://doi.org/10.1108/LHTN-01-20230009

Mehra, B. (2004). Service learning in library and information science (LIS) education: Connecting research and practice to community. InterActions: UCLA Journal of Education and Information Studies, 1(1). https://web.archive.org/web/20180417144512/https://escholarship.org/uc/item/6hz625sv

Morris, R. J., & Malady, A. (2025). Facing the questions together: Faculty and student perspectives on integrating generative AI in LIS education. Library Trends, 73(4), 553–573. https://doi.org/10.1353/lib.2025.a968495

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

Oddone, K., Garrison, K., & Gagen-Spriggs, K. (2023). Navigating generative AI: The teacher librarian’s role in cultivating ethical and critical practices. Journal of the Australian Library and Information Association, 73(1), 3–26. https://doi.org/10.1080/24750158.2023.2289093

Parry, D. (2011). Mobile perspectives: On teaching mobile literacy. Educause Review, 46(2), 14. https://web.archive.org/web/20151113172918/http://er.educause.edu/articles/2011/4/mobile-perspectives-on-teaching-mobile-literacy

Research Planning and Review Committee, ACRL. (2024). 2024 top trends in academic libraries: A review of the trends and issues. College & Research Libraries News, 85(6). https://doi.org/10.5860/crln.85.6.231

Tait, E., & Pierson, C. M. (2022). Artificial intelligence and robots in libraries: Opportunities in LIS curriculum for preparing the librarians of tomorrow. Journal of the Australian Library and Information Association, 71(3), 256–274. https://doi.org/10.1080/24750158.2022.2081111

Torres, J. M. (2024). Leveraging ChatGPT and Bard for academic librarians and information professionals: A case study of developing pedagogical strategies using generative AI models. Journal of Business & Finance Librarianship. https://doi.org/10.1080/08963568.2024.2321729

Vrana, R. (2025). A study of Croatian public libraries: Challenges and opportunities in embracing artificial intelligence. Public Library Quarterly, 1–23. https://doi.org/10.1080/01616846.2025.2458378

Walsh, A. (2012). Mobile information literacy: A preliminary outline of information behaviour in a mobile environment. Journal of Information Literacy, 6(2), 56–69. https://web.archive.org/web/20180720064459/http://eprints.hud.ac.uk/id/eprint/15435/5/1696-8454-1-PB.pdf

Yamson, G. C. (2023). Immediacy as a better service: Analysis of limitations of the use of ChatGPT in library services. Information Development. https://doi.org/10.1177/02666669231206762

Youngman, T., Appedu, S., Tacheva, Z., & Patin, B. (2023). Flashing the hazard lights: Interrogating discourses of disruptive algorithmic technologies in LIS education. Proceedings of the ALISE Annual Conference. https://doi.org/10.21900/j.alise.2023.1327

Downloads

Published

2026-03-20

How to Cite

Havelka, S., & McGuinness, C. (2026). Preparing library and information studies students for an AI-driven future: student perceptions and curriculum insights from the iSchool at University College Dublin (UCD), Ireland . Information Research an International Electronic Journal, 31(iConf), 547–562. https://doi.org/10.47989/ir31iConf64119

Issue

Section

Conference proceedings

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.