Desenvolupament professional docent per a un futur amb intel·ligència artificial generativa: una revisió bibliogràfica integradora
DOI:
https://doi.org/10.1344/der.2024.45.151-157Paraules clau:
Intel·ligència Artificial Generativa, Ètica, Professorat, Desenvolupament professional, Revisió integradora de la literaturaResum
La Intel·ligència Artificial (IA) forma part de la vida de tots els ciutadans des de fa diversos anys. Tot i així, l'aparició de la IA generativa (GenAI), accessible per a tothom, ha suscitat debats sobre les qüestions ètiques que plantegen, especialment en l'educació. Les eines de GenAI generen contingut d'acord amb les sol·licituds dels usuaris, però els estudiants fan servir aquestes eines de manera ètica i segura? Poden els professors orientar els alumnes en aquest ús i utilitzar aquestes eines en les seves activitats docents? En aquest article s'argumenta que el desenvolupament professional docent (DPT) és un desencadenant clau essencial en l'adopció d'aquestes tecnologies emergents. L'article presentarà una revisió integradora de la literatura que analitza els components de la TPD que poden empoderar els docents per guiar els seus estudiants cap a l'ús ètic i segur de la GenAI. D' acord amb la revisió de la literatura, un component clau de la TPD hauria de ser l' alfabetització en IA, que implica comprendre la IA, les seves capacitats, les seves limitacions i els seus possibles beneficis i inconvenients en l' educació. Realitzar activitats pràctiques que involucrin els mestres i els estudiants, també és un component essencial en l' ús actiu d' aquestes eines durant el procés de capacitació. El document determinarà els avantatges de treballar amb eines de GenAI i dissenyarà plans/projectes/esquemes de lliçons per implementar-los críticament a l'aula.
Referències
Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). Ethical principles for artificial intelligence in K-12 education. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100131
Akgun, S., & Greenhow, C. (2022). Artificial Intelligence (AI) in Education: Addressing Societal and Ethical Challenges in K-12 Settings. Proceedings of International Conference of the Learning Sciences, ICLS, 1373–1376.
Alarcon-Llontop, L.-R., Pasapera-Ramírez, S., & Torres-Mirez, K. (2023). The ChatGPT Application: Initial Perceptions of University Teachers | La Aplicación ChatGPT: Iniciales Percepciones de Docentes Universitarios. Proceedings of the LACCEI International Multi-Conference for Engineering, Education and Technology, 2023-July.
Alberts, I. L., Mercolli, L., Pyka, T., Prenosil, G., Shi, K., Rominger, A., & Afshar-Oromieh, A. (2023). Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be? European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-023-06172-w
Ali, S., Kumar, V., & Breazeal, C. (2023). AI Audit: A Card Game to Reflect on Everyday AI Systems. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 15981–15989.
Al-Zahrani, A. M. (2023). The impact of generative AI tools on researchers and research: Implications for academia in higher education. INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL. https://doi.org/10.1080/14703297.2023.2271445
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. https://ssrn.com/abstract=4337484
Bendechache, M., Tal, I., Wall, P., Grehan, L., Clarke, E., Odriscoll, A., Der Haegen, L. V., Leong, B., Kearns, A., & Brennan, R. (2021). AI in My Life: AI, Ethics & Privacy Workshops for 15-16-Year-Olds. ACM International Conference Proceeding Series, 34–39. https://doi.org/10.1145/3462741.3466664
Celik, I. (2022). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. https://doi.org/10.1016/j.chb.2022.107468
Chen, J. J., & Lin, J. C. (2023). Artificial intelligence as a double-edged sword: Wielding the POWER principles to maximize its positive effects and minimize its negative effects. 0(0), 1–8. https://doi.org/10.1177/14639491231169813
Chounta, I.-A., Emanuele Bardone, ·, Raudsep, A., & Pedaste, M. (2022). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, 32(2), 725–755. https://doi.org/10.1007/s40593-021-00243-5
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148
Dakakni, D., & Safa, N. (2023). Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora’s box. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100179
DGE. (n.d.). Direção-Geral da Educação. Retrieved 23 January 2024, from https://www.dge.mec.pt/formacao-continua
DR. (2018). Decreto-Lei n.o 54/2018 | DR. DR. https://diariodarepublica.pt/dr/detalhe/decreto-lei/54-2018-115652961
du Boulay, B. (2023). Artificial Intelligence in Education and Ethics. In Handbook of Open, Distance and Digital Education. https://doi.org/10.1007/978-981-19-2080-6_6
Durán, A. G. (2023). Integration of artificial intelligence in the teaching of plastic arts | Integración de la inteligencia artificial en la enseñanza de las artes plásticas. Revista de Ciencias Sociales, 29(4), 17–29. https://doi.org/10.31876/rcs.v29i4.41256
Farrelly, T., & Baker, N. (2023). Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice. Education Sciences, 13(11). https://doi.org/10.3390/educsci13111109
Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes professional development effective? Results from a national sample of teachers. American Educational Research Journal, 38(4), 915–945. https://doi.org/10.3102/00028312038004915
Guskey, T. R. (2002). Professional development and teacher change. Teachers and Teaching: Theory and Practice, 8(3), 381–391. https://doi.org/10.1080/135406002100000512
Gutiérrez-Cirlos, C., Carrillo-Pérez, D. L., Bermúdez-González, J. L., Hidrogo-Montemayor, I., Carrillo-Esper, R., & Sánchez-Mendiola, M. (2023). ChatGPT: opportunities and risks in the fields of medical care, teaching, and research | ChatGPT: oportunidades y riesgos en la asistencia, docencia e investigación médica. Gaceta Medica de Mexico, 159(5), 382–389. https://doi.org/10.24875/GMM.230001671
Hasanein, A. M., & Sobaih, A. E. E. (2023). Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder Perspectives. European Journal of Investigation in Health, Psychology and Education, 13(11), 2599–2614. https://doi.org/10.3390/ejihpe13110181
Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017). Neuroscience-Inspired Artificial Intelligence. Neuron, 95(2), 245–258. https://doi.org/10.1016/j.neuron.2017.06.011
Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11834-1
Ka Yuk Chan, C., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. https://doi.org/10.1186/s41239-023-00411-8
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. https://doi.org/10.1016/j.lindif.2023.102274
Lazarus, M. D., Truong, M., Douglas, P., & Selwyn, N. (2022). Artificial intelligence and clinical anatomical education: Promises and perils. Anatomical Sciences Education, n/a(n/a). https://doi.org/https://doi.org/10.1002/ase.2221
Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3313831.3376727
Lucas, M. (2023). Competência digital docente e inteligência artificial: ligações, preocupações e oportunidades. Boletim Da AIA-CTS, 19. https://aia-cts.web.ua.pt/wp-content/uploads/2023/09/Boletim_AIA_CTS_n19.pdf
Miao, F., Holmes, W., & UNESCO. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Mohammadkarimi, E. (2023). Teachers’ reflections on academic dishonesty in EFL students’ writings in the era of artificial intelligence. Journal of Applied Learning and Teaching, 6(2), 105–113. https://doi.org/10.37074/jalt.2023.6.2.10
Mouta, A., Torrecilla-Sánchez, E. M., & Pinto-Llorente, A. M. (2023). Design of a future scenarios toolkit for an ethical implementation of artificial intelligence in education. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12229-y
Muller, M., Chilton, L. B., Kantosalo, A., Maher, M. L., Martin, C. P., & Walsh, G. (2022). GenAICHI: Generative AI and HCI. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3491101.3503719
Muñoz-Basols, J., Craig, N., Lafford, B. A., & Godev, C. (2023). Potentialities of Applied Translation for Language Learning in the Era of Artificial Intelligence. Hispania, 106(2), 171–194. https://doi.org/10.1353/hpn.2023.a899427
Muñoz-Basols, J., Neville, C., & Lafford, B. A. (2023). Potentialities of Applied Translation for Language Learning in the Era of Artificial Intelligence. Concepción Godev Hispania, 106(2), 171–194. https://doi.org/10.1353/hpn.2023.a899427
Murillo-Ligorred, V., Ramos-Vallecillo, N., Covaleda, I., & Fayos, L. (2023). Knowledge, Integration and Scope of Deepfakes in Arts Education: The Development of Critical Thinking in Postgraduate Students in Primary Education and Master’s Degree in Secondary Education. Education Sciences, 13(11). https://doi.org/10.3390/educsci13111073
Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers’ trust in AI-powered educational technology and a professional development program to improve it. British Journal of Educational Technology, 53(4), 914–931. https://doi.org/10.1111/bjet.13232
Nazaretsky, T., Cukurova, M., & Alexandron, G. (2022). An Instrument for Measuring Teachers’ Trust in AI-Based Educational Technology. ACM International Conference Proceeding Series, 56–66. https://doi.org/10.1145/3506860.3506866
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
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. https://doi.org/10.1080/24750158.2023.2289093
Oliveira, A. (2017). Mentes digitais, a ciência redefinindo a humanidade. IST Press.
Pack, A., & Maloney, J. (2023). Using Generative Artificial Intelligence for Language Education Research: Insights from Using OpenAI’s ChatGPT. https://doi.org/10.1002/tesq.3253
Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J., & McGuire, A. L. (2023). Ethics Education for Healthcare Professionals in the Era of chatGPT and Other Large Language Models: Do We Still Need It? American Journal of Bioethics. https://doi.org/10.1080/15265161.2023.2233358
Russell, R. G., Lovett Novak, L., Patel, M., Garvey, K. V., Craig, K. J. T., Jackson, G. P., Moore, D., & Miller, B. M. (2023). Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals. Academic Medicine, 98(3), 348–356. https://doi.org/10.1097/ACM.0000000000004963
Sharples, M. (2023). Towards social generative AI for education: theory, practices and ethics. Learning: Research and Practice, 9(2), 159–167. https://doi.org/10.1080/23735082.2023.2261131
Shchavinsky, Y. V, Muzhanova, T. M., Yakymenko, Y. M., & Zaporozhchenko, M. M. (2023). Application of artificial intelligence for improving situational training of cybersecurity specialists. INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 97(5), 215–226. https://doi.org/10.33407/itlt.v97i5.5424
Shimizu, I., Kasai, H., Shikino, K., Araki, N., Takahashi, Z., Onodera, M., Kimura, Y., Tsukamoto, T., Yamauchi, K., Asahina, M., Ito, S., & Kawakami, E. (2023). Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study. JMIR MEDICAL EDUCATION, 9. https://doi.org/10.2196/53466
Spivakovsky, O. V, Omelchuk, S. A., Kobets, V. V, Valko, N. V, & Malchykova, D. S. (2023). Institutional policies on artificial intelligence in university learning, teaching and research. INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 97(5), 181–202. https://doi.org/10.33407/itlt.v97i5.5395
Taibi, D., Börsting, J., Hoppe, U., Ognibene, D., Hernández-Leo, D., Eimler, S. C., & Kruschwitz, U. (2023). The Role of Educational Interventions in Facing Social Media Threats: Overarching Principles of the COURAGE Project. In Communications in Computer and Information Science: Vol. 1779 CCIS. https://doi.org/10.1007/978-3-031-29800-4_25
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). https://doi.org/10.1186/s40561-023-00237-x
Torraco, R. J. (2005). Writing Integrative Literature Reviews: Guidelines and Examples. Human Resource Development Review, 4(3), 356–367. https://doi.org/10.1177/1534484305278283
Trust, T., Krutka, D. G., & Carpenter, J. P. (2016). “Together we are better”: Professional learning networks for teachers. Computers and Education, 102, 15–34. https://doi.org/10.1016/j.compedu.2016.06.007
UNESCO. (2021). Recomendação sobre a Ética da Inteligência Artificial. UNESCO Paris. https://unesdoc.unesco.org/ark:/48223/pf0000381137_por
UNESCO. (2023). Artificial Intelligence: UNESCO calls on all Governments to implement Global Ethical Framework without delay. UNESCO. https://www.unesco.org/en/articles/artificial-intelligence-unesco-calls-all-governments-implement-global-ethical-framework-without
Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553. https://doi.org/10.1111/j.1365-2648.2005.03621.x
Yang, G., Ye, Q., & Xia, J. (2022). Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. Information Fusion, 77, 29–52. https://doi.org/10.1016/J.INFFUS.2021.07.016
Zou, M., & Huang, L. (2023). The impact of ChatGPT on L2 writing and expected responses: Voice from doctoral students. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12397-x
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Drets d'autor (c) 2024 Anabela Brandão, Luís Pedro, Nelson Zagalo
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