Desafios e Benefícios das 7 Formas de Inteligência Artificial no Setor Educacional

Autores

DOI:

https://doi.org/10.37497/rev.artif.intell.education.v3i00.3

Palavras-chave:

Inteligência Artificial, Educação, Setor Educacional

Resumo

Objetivo: Este artigo tem como objetivo investigar a integração da inteligência artificial (IA) no setor educacional e explorar seu impacto no ensino e aprendizado na era digital. Através da síntese da literatura existente, o estudo busca oferecer insights sobre os benefícios e desafios associados à incorporação da IA na educação.

Método: Foi realizada uma revisão abrangente da literatura utilizando a abordagem de síntese narrativa. Foram incluídos artigos revisados por pares que definem explicitamente a IA no contexto educacional, publicados em inglês e submetidos a revisão por pares. Cinco revisores independentes avaliaram a qualidade da pesquisa, extraíram dados relevantes e analisaram os resultados da busca para garantir uma visão abrangente do campo.

Resultados: O estudo revela a influência significativa da IA na educação. Sua implementação é identificada como um elemento crucial e estratégico do avanço educacional. O papel crescente da IA como assistente digital é especialmente notável, facilitando experiências de aprendizado personalizadas para os alunos, adaptando recursos educacionais às preferências individuais e necessidades específicas de cada matéria. As tecnologias de IA também são instrumentais em apoiar tanto os professores quanto os alunos em diversos aspectos da educação.

Conclusões: A integração da IA na educação marca uma fase transformadora para o setor. Embora a IA ofereça benefícios substanciais em termos de experiências de aprendizado aprimoradas e maior eficiência dos professores, possíveis desvantagens e preocupações também são evidentes. Questões de privacidade, segurança e segurança decorrentes do desenvolvimento da IA ressaltam a necessidade de implementação cuidadosa. Assim, o impacto da IA na educação é multifacetado, apresentando implicações positivas e negativas. Este estudo serve como base para os envolvidos na educação navegarem pelo cenário em constante evolução, tomando decisões informadas que aproveitem o potencial da IA ao mesmo tempo em que mitigam seus riscos. Ao avaliar de forma abrangente o papel atual e futuro da IA na educação, essa pesquisa contribui para moldar uma utilização equilibrada e eficaz das tecnologias de IA em busca da excelência educacional.

Biografia do Autor

Sonali Tambuskar, Mundle Dharampeth Arts & Commerce College, BCCA

R.S. Mundle Dharampeth Arts & Commerce College, BCCA, Dharampeth, Nagpur, India-440010.

Referências

Akgun, S., & Greenhow, C. (2021). Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings. AI and Ethics, 1-10. DOI: https://doi.org/10.1007/s43681-021-00096-7

Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), pp. 1-8. IEEE. DOI: https://doi.org/10.1109/ICCICA52458.2021.9697272

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. Ieee Access, 8, 75264-75278. DOI: https://doi.org/10.1109/ACCESS.2020.2988510

Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society, 25(1), 28-47. DOI: https://doi.org/10.1007/s10639-022-11209-y

Cheng, X., Su, L., Luo, X., Benitez, J., & Cai, S. (2022). The Good, the Bad, and the Ugly: Impact of Analytics and Artificial Intelligence-Enabled Personal Information Collection on Privacy and Participation in Ridesharing. European Journal of Information Systems, 31(3), 339-363. DOI: https://doi.org/10.1080/0960085X.2020.1869508

Dong, Y., Hou, J., Zhang, N., & Zhang, M. (2020). Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence. Complexity, 2020, 1680845, 1-10. DOI: https://doi.org/10.1155/2020/1680845

Hashim, H. (2018). Application of Technology in the Digital Era Education. International Journal of Research in Counseling and Education, 2(1), 1-5. DOI: https://doi.org/10.24036/002za0002

Holstein, K., McLaren, B. M., & Aleven, V. (2019). Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms. International Conference on Artificial Intelligence in Education, 157-171. DOI: https://doi.org/10.1007/978-3-030-23204-7_14

Hwang, G. J. (2014). Definition, Framework and Research Issues of Smart Learning EnvironmentsA Context-Aware Ubiquitous Learning Perspective. Smart Learning Enviro ments, 1(1), No.4, pp. 1-14. DOI: https://doi.org/10.1186/s40561-014-0004-5

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. DOI: https://doi.org/10.1016/j.caeai.2020.100001

Jaipong, P., Nyen Vui, C., & Siripipatthanakul, S. (2022). A Case Study on Talent Shortage and Talent War of True Corporation, Thailand. International Journal of Behavioral Analytics, 2(3), 1- Available at SSRN: 4123711.

Kaur, G., Gujrati, R., & Uygun, H. (2023). How does AI fit into the Management of Human Resources?. Review of Artificial Intelligence in Education, 4(00), e04. https://doi.org/10.37497/rev.artif.intell.education.v4i00.4 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.4

Kim, N. Y., Cha, Y., & Kim, H. S. (2019). Future English Learning: Chatbots and Artificial Intelligence. Multimedia- Assisted Language Learning, 22(3), 32-53.

Kose, U. (2014). Artificial Intelligence Applications in Distance Education. IGI Global. Krutka, D., Manca, S., Galvin, S., Greenhow, C., Koehler, M., Askari, E. (2019). Teaching “Against” Social Media: Confronting Problems of Profit in the Curriculum. Teachers College Record 121(14), 1-42. DOI: https://doi.org/10.1177/016146811912101410

Li, J., Cheng, H., Guo, H., & Qiu, S. (2018). Survey on Artificial Intelligence for Vehicles. Automotive Innovation, 1(1), 2-14. DOI: https://doi.org/10.1007/s42154-018-0009-9

Limna, P. (2022). Artificial Intelligence (AI) in the Hospitality Industry: A Review Article. International Journal of Computing Sciences Research, 6. DOI: https://doi.org/10.25147/ijcsr.2017.001.1.103

Limna, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The Role of Big Data Analytics in Influencing Artificial Intelligence (AI) Adoption for Coffee Shops in Krabi, Thailand. International Journal of Behavioral Analytics, 1(2), 1-17.

Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S.J., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, CC (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology, 11, 580820. DOI: https://doi.org/10.3389/fpsyg.2020.580820

Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 90, 46-60. DOI: https://doi.org/10.1016/j.futures.2017.03.006

Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and Education: A Guidance for Policymakers. UNESCO Publishing.

Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Penguin UK.

Ouyang, F., & Jiao, P. (2021). Artificial Intelligence in Education: The Three Paradigms. Computers and Education: Artificial Intelligence, 2, 100020.Research Papers July 2022. DOI: https://doi.org/10.1016/j.caeai.2021.100020

Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. IFIP International Workshop on Artificial Intelligence for Knowledge Management, pp. 37-58. DOI: https://doi.org/10.1007/978-3-030-85001-2_4

Peters, M. A. (2020). Roboethics in Education and Society. Educational Philosophy and Theory, 52(1), 11-16. DOI: https://doi.org/10.1080/00131857.2019.1602890

Rahmatullah, A. S., Mulyasa, E., Syahrani, S., Pongpalilu, F., & Putri, R. E. (2022). Digital Era 4.0: The Contribution to Education and Student Psychology. Linguistics and Culture Review, 6, 89- 107. DOI: https://doi.org/10.21744/lingcure.v6nS3.2064

Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), 582. DOI: https://doi.org/10.1007/s40593-016-0110-3

Silva, A. de O., & Janes, D. dos S. (2023). Challenges And Opportunities of Artificial Intelligence in Education in A Global Context. Review of Artificial Intelligence in Education, 4(00), e01. https://doi.org/10.37497/rev.artif.intell.education.v4i00.1 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.1

Silva, A. de O., & Janes, D. dos S. (2020). Exploring the Role of Artificial Intelligence in Education: A Comprehensive Perspective. Review of Artificial Intelligence in Education, 1(00), e05. https://doi.org/10.37497/rev.artif.intell.education.v1i00.5 DOI: https://doi.org/10.37497/rev.artif.intell.education.v1i00.5

Silva, A. de O., & Janes, D. dos S. (2021). The Emergence of ChatGPT and its Implications for Education and Academic Research in the 21st Century. Review of Artificial Intelligence in Education, 2(00), e06. https://doi.org/10.37497/rev.artif.intell.education.v2i00.6 DOI: https://doi.org/10.37497/rev.artif.intell.education.v2i00.6

Tambuskar, S. (2022). Challenges and Benefits of 7 ways Artificial Intelligence in Education Sector. Review of Artificial Intelligence in Education, 3(00), e03. https://doi.org/10.37497/rev.artif.intell.education.v3i00.3 DOI: https://doi.org/10.37497/rev.artif.intell.education.v3i00.3

Siripipatthanakul, S., & Bhandar, M. (2021). A Qualitative Research Factors Affecting Patient Satisfaction and Loyalty: A Case Study of Smile Family Dental Clinic. International of Trend in Scientific Research and Development, 5 (5), 877-896.

Shabbir, J., & Anwer, T. (2018). Artificial Intelligence and Its Role in Near Future. arXiv preprint arXiv:1804.01396.

Tong-On, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The implementation of business intelligence using data analytics and its effects towards on performance in the hotel industry in Thailand. International Journal of Behavioral Analytics, 1(2), 1- 16.

Yufeia, L., Salehb, S., Jiahuic, H., & Syed, S. M. (2020). Review of the Application of Artificial Intelligence in Education. Integration (Amsterdam), 12(8), 1-15. DOI: https://doi.org/10.53333/IJICC2013/12850

Zhang, C. (2022). Current Status and Outlook of Higher Education Digital Transformation in China. Review of Artificial Intelligence in Education, 3(00), e02. https://doi.org/10.37497/rev.artif.intell.education.v3i00.2 DOI: https://doi.org/10.37497/rev.artif.intell.education.v3i00.2

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Publicado

2022-08-27

Como Citar

Tambuskar, S. (2022). Desafios e Benefícios das 7 Formas de Inteligência Artificial no Setor Educacional. Review of Artificial Intelligence in Education, 3, e3. https://doi.org/10.37497/rev.artif.intell.education.v3i00.3

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v. 3 (2022): Jan./Dec. (Continuous Publication)

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