AI Specialist - a new professional figure for higher education
DOI:
https://doi.org/10.32043/jimtlt.v4i1.140Parole chiave:
Intelligenza Artificiale, Istruzione Superiore, AI Literacy, AI SpecialistAbstract
Gli strumenti basati sull’Intelligenza Artificiale (AI) hanno un potenziale trasformativo nell’istruzione superiore, grazie alla possibilità di realizzare nuove interfacce docente/studente, quali chatbot ed e-tutor, percorsi di apprendimento individuali, fornire istruzioni e feedback personalizzati, eccetera. Tuttavia, vi sono rischi e limiti associati a questi strumenti, inclusi potenziali bias nell’addestramento dello strumento, mancanza di creatività, e riduzione dell’interazione umana. Per poter trarre il massimo vantaggio dagli strumenti basati su AI, e limitare gli aspetti negativi, non è sufficiente possedere le competenze tecniche d’uso: occorre piuttosto sviluppare una comprensione olistica che includa gli aspetti cognitivi, operativi, critici, ed etici dell’AI. Per questo scopo, in questo contributo si introduce e discute una nuova figura professionale nell’istruzione superiore: l’AI Specialist. Questa figura di supporto agisce come parte di una equipe multidisciplinare a supporto della didattica, interagendo con docenti, instructional designers, tutor didattici, e IT manager. Oltre al supporto all’attività didattica, l’AI specialist fornisce un aggiornamento continuo su nuovi prodotti, innovazioni tecniche e metodologiche, ed evidenze scientifiche, contribuendo alla formazione continua del personale didattico e amministrativo e consulenza per l’uso etico e responsabile degli strumenti AI.
Riferimenti bibliografici
Adiguzel, T., Kaya, H., & Cansu, F. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15, ep429. https://doi.org/10.30935/cedtech/13152
Aldosari, S. A. M. (2020). The Future of Higher Education in the Light of Artificial Intelligence Transformations. International Journal of Higher Education, 9(3), Articolo 3. https://doi.org/10.5430/ijhe.v9n3p145
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (SSRN Scholarly Paper 4337484). https://doi.org/10.2139/ssrn.4337484
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369–385. https://doi.org/10.1007/s10734-022-00937-2
Bonaiuti, G., & Dipace, A. (2021). Insegnare e apprendere in aula e in rete. Per una didattica blended efficace (1a ed.). Carocci Editore.
Bozkurt, A., & Sharma, R. C. (2023). Generative AI and Prompt Engineering: The Art of Whispering to Let the Genie Out of the Al-gorithmic World. Asian Journal of Distance Education, 18(2), i–vii. https://doi.org/10.5281/zenodo.8174941
Caines, A., Benedetto, L., Taslimipoor, S., Davis, C., Gao, Y., Andersen, O., Yuan, Z., Elliott, M., Moore, R., Bryant, C., Rei, M., Yan-nakoudakis, H., Mullooly, A., Nicholls, D., & Buttery, P. (2023). On the application of Large Language Models for language teaching and assessment technology (arXiv:2307.08393). arXiv. https://doi.org/10.48550/arXiv.2307.08393
CERI. (2008). FOUR FUTURE SCENARIOS. OECD/France International Conference Higher Education to 2030: What Futures for Quality Access in the Era of Globalisation?
Ch’ng, L. K. (2023). How AI Makes its Mark on Instructional Design. https://doi.org/10.5281/ZENODO.8188576
Cuomo, S., Biagini, G., & Ranieri, M. (2022). Artificial Intelligence Literacy, che cos’è e come promuoverla. Dall’analisi della letteratura ad una proposta di Framework. Media Education. https://doi.org/10.36253/me-13374
George, B., & Wooden, O. (2023). Managing the Strategic Transformation of Higher Education through Artificial Intelligence. Admin-istrative Sciences, 13(9), Articolo 9. https://doi.org/10.3390/admsci13090196
Hamilton, G. C., & Brown, J. E. (2003). Faculty Development: What Is Faculty Development? Academic Emergency Medicine, 10(12), 1334–1336. https://doi.org/10.1197/S1069-6563(03)00549-9
Harkut, D. G., Kasat, K., Harkut, D. G., & Kasat, K. (2019). Introductory Chapter: Artificial Intelligence - Challenges and Applications. In Artificial Intelligence—Scope and Limitations. IntechOpen. https://doi.org/10.5772/intechopen.84624
Li, T., Reigh, E., He, P., & Adah Miller, E. (2023). Can we and should we use artificial intelligence for formative assessment in science? Journal of Research in Science Teaching, 60, 1–5. https://doi.org/10.1002/tea.21867
Lo, C. K. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), Articolo 4. https://doi.org/10.3390/educsci13040410
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
Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., Nguyen, T. T., Pham, Q.-V., & Nguyen, C. M. (2022). Deep learning for deepfakes creation and detection: A survey. Computer Vision and Image Understanding, 223, 103525. https://doi.org/10.1016/j.cviu.2022.103525
Panciroli, C., Allegra, M., Gentile, M., & Rivoltella, P. C. (2023). Towards AI literacy: A proposal of a framework based on the Episodes of Situat-ed Learning. tal-IA 2023: 3rd National Conference on Artificial Intelligence.
Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix. Sustainability, 15(15), Articolo 15. https://doi.org/10.3390/su151511524
Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J., & Smithers, K. (2019). Artificial intelligence and emerging technologies in schools: Research report. University of Newcastle.
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
UNESCO. (2019). Beijing Consensus on Artificial Intelligence and Education—UNESCO Digital Library. International Conference on Artifi-cial Intelligence and Education, Planning Education in the AI Era: Lead the Leap, Beijing, 2019. https://unesdoc.unesco.org/ark:/48223/pf0000368303
Vargas-Murillo, A. R., de la Asuncion Pari-Bedoya, I. N. M., & de Jesús Guevara-Soto, F. (2023). Challenges and Opportunities of AI-Assisted Learning: A Systematic Literature Review on the Impact of ChatGPT Usage in Higher Education. International Journal of Learning, Teaching and Educational Research, 22(7), 122–135. Scopus. https://doi.org/10.26803/ijlter.22.7.7
Yan, L., Sha, L., Zhao, L., Li, Y., Martínez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13370
Zainuddin, Z. (2018). Students’ learning performance and perceived motivation in gamified flipped-class instruction. Computers & Edu-cation, 126, 75–88. https://doi.org/10.1016/j.compedu.2018.07.003
Zhai, X., & Nehm, R. H. (2023). AI and formative assessment: The train has left the station. Journal of Research in Science Teaching, 60(6), 1390–1398. https://doi.org/10.1002/tea.21885
Zirar, A. (2023). Exploring the impact of language models, such as ChatGPT, on student learning and assessment. Review of Education, 11(3). Scopus. https://doi.org/10.1002/rev3.3433
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Copyright (c) 2024 Andrea Tinterri, Marilena di Padova, Angelo Basta, Anna Dipace
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