Desenvolvendo um recurso educacional aberto (rea) para ia generativa no ensino superior

Autores

DOI:

https://doi.org/10.22481/praxisedu.v21i52.17103

Palavras-chave:

inteligência artificial generativa, recurso educacional aberto, universidade, perspectiva humanística

Resumo

O lançamento da inteligência artificial generativa marcou uma significativa disrupção tecnológica, obrigando indústrias, incluindo a educação superior, a se adaptarem rapidamente. Este estudo explora o projeto interdisciplinar da Universidade do Estado Livre (UFS) iniciado em 2023 para desenvolver um recurso educacional aberto (REA) focado em inteligência artificial generativa. O REA tem como objetivo fornecer um guia abrangente para educadores e instituições sobre como implementar de forma responsável e eficaz ferramentas educacionais impulsionadas por IA. O REA consolidou conteúdos sobre inteligência artificial generativa no contexto da educação superior na África do Sul, abordando casos de uso reais e potenciais, desafios e debates filosóficos. O conteúdo inclui destaques que ilustram o surgimento da inteligência artificial generativa como uma força disruptiva, desafiando práticas educacionais tradicionais e levantando preocupações sobre a integridade acadêmica, a dependência excessiva da tecnologia e o viés algorítmico. O desenvolvimento do REA integrou estruturas conceituais e teóricas para contextualizar e fundamentar a pesquisa, enfatizando a importância de considerações éticas e do contexto socio-histórico do uso da inteligência artificial generativa na academia e na sociedade. As principais percepções das discussões em painel e das sessões práticas destacaram a necessidade de recursos educacionais direcionados e contextualizados, além da exploração de diversos casos de uso de IA em pesquisa, ensino e administração. O estudo conclui justificando uma perspectiva humanística, defendendo a integração tecnológica inclusiva e equitativa.

Downloads

Não há dados estatísticos.

Biografia do Autor

Susan Brokensha, University of the Free State

Ph.D. in Applied Language Sciences from the University of the Free State. She is a Professor at the Department of English, Faculty of the Humanities at the University of the Free State, South Africa.

Katinka de Wet, University of the Free State

PhD in Sociology from the École des    Hautes Etudes en Sciences Sociales in Paris, France. Co-Director of the Interdisciplinary Centre for Digital Futures, and Associate professor of Sociology at the Faculty of the Humanities of the University of the Free State, South Africa.

Herkulaas Combrink, University of the Free State - África do Sul

Ph.D. in Computer Science from the University of Pretoria. Co-Director of the Interdisciplinary Centre for Digital Futures and a Lecturer and Academic for the Data Analytics and Data Analytics for Business modules at the University of the Free State.

Nola Redelinghuys, University of the Free State

Ph.D. in Sociology from the University of the Free State. Senior Lecturer in Sociology and researcher at the Interdisciplinary Centre for Digital Futures, University of the Free State, South Africa.

Ketshepileone Matlhoko, University of the Free State

Lecturer and Ph.D. student in Consumer behaviour in AI technology in education at the Department of Sustainable Agriculture and Food Systems, Faculty of Natural and Agricultural Sciences at the University of the Free State, South Africa.

Cornelle Scheltema-van Wyk, University of the Free State

Master of Philosophy from the University of Cape Town. Deputy Director, Library and Information Services at the University of the Free State, South Africa.

Referências

ALSHEIABNI, Sulaiman; CHEUNG, Yen; MESSOM, Chris. Factors inhibiting the adoption of artificial intelligence at organisational-level: A preliminary investigation. In AMERICAS CONFERENCE ON INFORMATION SYSTEMS 2019, Atlanta GA USA: Association for Information Systems, 2019.

ANDREOLETTI, Mattia; CHIFFI, Daniele; TAEBI, Behnam. Introduction: severe uncertainty in science, medicine, and technology. Perspectives on Science, v. 30, n. 2, pp. 201–209, 2022. DOI: 10.1162/posc_e_00411

BECK, Ulrich. Risk society: towards a new modernity. London: Sage, 1992.

BOUCHER, Philip; BENTZEN, Naja; LAȚICI, Tania; MADIEGA, Tamblama; SCHMERTZING, Leopold; SZCZEPANSKI, Marcin. Disruption by technology: impacts on politics, economics and society. European Parliamentary Research Service, PE652.079, 2020. Disponível em: https://www.europarl.europa.eu/stoa/en/document/EPRS_IDA(2020)652079. Acesso em: 20 out. 2024. DOI: 10.2861/718464

BRESNYAN, Edward. The Consultative Group to Assist the Poor. Addressing challenges of globalization: an independent evaluation of the World Bank’s approach to global programmes. The World Bank Operations Evaluation Department, 2004.

CHIFFI, Daniele; MORONI, Stefano; ZANETTI, Luca. Types of technological innovation in the face of uncertainty. Philosophy & Technology, v. 35, n. 94, pp. 1–17, 2022. DOI: https://doi.org/10.1007/s13347-022-00587-3

DCDT. South Africa national artificial intelligence policy framework. Department of Communication and Digital Technologies, 2024. Disponível em: https://techcentral.co.za/wp-content/uploads/2024/08/South-Africa-National-AI-Policy-Framework.pdf. Acesso em: 20 out. 2024.

ELDER, Abbey. The OER Starter Kit. Iowa State University, 2019. Disponível em: https://iastate.pressbooks.pub/oerstarterkit/front-matter/contributors/. Acesso em: 20 out. 2024.

FIRAT, Mehmet. What ChatGPT means for universities: perceptions of scholars and students. Journal of Applied Learning and Teaching, v. 6, n. 1, pp. 57–63, 2023. DOI: 10.37074/jalt.2023.6.1.22

HOPSTER, Jeroen. What are socially disruptive technologies. Technology in Society, v. 67, n. 101750, pp. 1–8, 2021. DOI: 10.1016/j.techsoc.2021.101750

JENIK, Ivo; DUFF, Schan. How to build a regulatory sandbox: a practical guide for policy makers. Technical Guide. Washington, D.C.: CGAP, 2020. Disponível em: https://www.cgap.org/sites/default/files/publications/slidedeck/2021_01_Regulatory_Sandboxes_Overview.pdf. Acesso em: 20 out. 2024.

KNOX, Jeremy. Five critiques of the open educational resources movement. Teaching in Higher Education, v. 18, n. 8, p. 1–22, 2013. DOI: 10.1080/13562517.2013.774354

LUTRIS, Hamish F.; SIMON, Nicholas P. The true and false promise of open educational resources, or, how open educational resources are condemned to wither without open pedagogy. The International Journal of Open Educational Resources, v. 4, n. 1, p. 187–198, 2021. DOI: 10.18278/IJOER.4.1.10

MAGNI, Federico; YANG, Heather; GONG, Yaping. The facets and consequences of uncertainty in human-AI interaction. In: GROTE, Gudela; GRIFFIN, Mark A. (Eds.). The Oxford handbook on uncertainty management in work organizations. Oxford: Oxford University Press, 2022. DOI: 10.1093/oxfordhb/9780197501061.013.22

NEUMANN, Oliver; GUIRGUIS, Katharina; STEINER, Reto. Exploring artificial intelligence adoption in public organisations: a comparative case study. Public Management Review, v. 26, n. 1, pp. 114–141, 2024. DOI: 10.1080/14719037.2022.2048685

NORDSTRÖM, Maria. AI under great uncertainty: implications and decision strategies for public policy. AI & Society, v. 37, n. 4, pp. 1703–1714, 2022. DOI: 10.1007/s00146-021-01263-4

PATEL, Shahiem; RAGOLANE, Mahlatse. The implementation of artificial intelligence in South African higher education institutions: opportunities and challenges. Technium Education and Humanities, v. 9, pp. 51–65, 2024. DOI:10.47577/teh.v9i.11452

PRINSLOO, Paul; CONRAD, Dianne. Afterword (In)conclusion. In: CONRAD, Dianne; PRINSLOO, Paul (ed.). Open(ing) education. Leiden; Boston: Brill, pp. 392–395, 2020.

SMITHSON, Michael. Ignorance and uncertainty: emerging paradigms. New York: Springer Press, 1989.

SPINEI, Daniela. Social risks and opportunities of AI integration: discrimination and privilege in AI use considering EU AI acts. 2024. Master’s thesis – University of Twente, 2024.

UNESCO. Open educational resources. Unesco, 2023. Disponível em: https://www.unesco.org/en/open-educational-resources. Acesso em: 20 ago. 2024.

WAKEHAM, Joshua. Uncertainty: history of concept. In: WRIGHT, James D. (ed.). International encyclopaedia of the social and behavioral sciences. 2nd ed. London: Elsevier, 2015. pp. 716-721. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/B9780080970868031755?via%3Dihub. Acesso em: 20 out. 2024.

WEF. Presidio AI Framework: towards safe generative AI models. 1/3 Briefing Paper Series. World Economic Forum, 2024. Disponível em: https://www3.weforum.org/docs/WEF_Presidio_AI%20Framework_2024.pdf Acesso em: 20 out. 2024.

WEF. The Global Risks Report 2024 (19th ed.). World Economic Forum, 2024. Disponível em: https://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2024.pdf Acesso em: 20 out. 2024.

YU, Hao. Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, v. 14, p. 1181712, 2023. Disponível em: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1181712/full. Acesso em: 20 out. 2024.

Publicado

09-07-2025

Como Citar

BROKENSHA, Susan; WET, Katinka de; COMBRINK, Herkulaas; REDELINGHUYS, Nola; MATLHOKO, Ketshepileone; WYK, Cornelle Scheltema-van. Desenvolvendo um recurso educacional aberto (rea) para ia generativa no ensino superior. Práxis Educacional, Vitória da Conquista, v. 21, n. 52, p. e17103, 2025. DOI: 10.22481/praxisedu.v21i52.17103. Disponível em: https://periodicos2.uesb.br/praxis/article/view/17103. Acesso em: 22 abr. 2026.

Edição

Seção

Seção Temática