Impacto da Inteligência Artificial no Desempenho Acadêmico de Estudantes do Ensino Médio: Estudo Correlacional
Publicado 2024-12-10
Palavras-chave
- inteligência artificial,
- desempenho acadêmico,
- ferramentas educacionais,
- estudantes do ensino médio,
- acesso à tecnologia
Como Citar
Copyright (c) 2024 Carlos Eduardo Cobos-Gutierrez
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Métricas alternativas
Resumo
Este estudo explorou a relação entre o uso de ferramentas de Inteligência Artificial (IA) e o desempenho acadêmico de estudantes do ensino médio por meio de uma abordagem correlacional. Foram analisados 350 estudantes de diferentes contextos socioeconômicos para avaliar o impacto da IA em disciplinas chave, como matemática, ciências e humanidades. Os resultados mostraram uma melhoria significativa nas notas dos alunos, especialmente aqueles que usaram ferramentas de IA com mais frequência. Além disso, foi identificado que o acesso a dispositivos tecnológicos e a frequência de uso de IA influenciaram diretamente os resultados acadêmicos. Este estudo sugere que a IA é uma ferramenta eficaz para melhorar a aprendizagem, embora seja necessário garantir o acesso equitativo à tecnologia.
Downloads
Referências
- Banholzer, N., Jent, P., Bittel, P., Zürcher, K., Furrer, L., Bertschinger, S., Weingartner, E., Ramette, A., Egger, M., Hascher, T., & Fenner, L. (2024). Air cleaners and respiratory infections in schools: A modeling study using epidemiological, environmental, and molecular data. Open Forum Infectious Diseases, 11(4). https://doi.org/10.1093/ofid/ofae169
- Braga, B. C., Nguyen, P. H., Tran, L. M., Hoang, N. T., Bannerman, B., Doyle, F., Folson, G., Gangupantulu, R., Karachiwalla, N., Kolt, B., McCloskey, P., Palloni, G., Tran, T. H. T., Tro'u'ng, D. T. T., Hughes, D., & Gelli, A. (2024). Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study. Current Developments in Nutrition, 8(6), 102063. https://doi.org/10.1016/j.cdnut.2023.102063
- Chu, L., Liu, Y., Zhai, Y., Wang, D., & Wu, Y. (2024). The use of deep learning integrating image recognition in language analysis technology in secondary school education. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-52592-5
- Destéfano, M., Trifonova, A., & Barajas, M. (2024). Teaching AI to the next generation: A humanistic approach. Digital Education Review, 45, 115–123. https://doi.org/10.1344/der.2024.45.115-123
- Egara, F. O., & Mosimege, M. (2024). Exploring the integration of artificial intelligence-based ChatGPT into mathematics instruction: Perceptions, challenges, and implications for educators. Education Sciences, 14(7), 742. https://doi.org/10.3390/educsci14070742
- Falloon, G. (2024). Advancing young students’ computational thinking: An investigation of structured curriculum in early years primary schooling. Computers & Education, 216, 105045. https://doi.org/10.1016/j.compedu.2024.105045
- Fundi, M., Sanusi, I. T., Oyelere, S. S., & Ayere, M. (2024). Advancing AI education: Assessing Kenyan in-service teachers’ preparedness for integrating artificial intelligence in competence-based curriculum. Computers in Human Behavior Reports, 14, 100412. https://doi.org/10.1016/j.chbr.2024.100412
- Jeon, I., Kim, S., & Kang, S. (2024). Developing standards for educational datasets by school level: A framework for sustainable K-12 education. Sustainability, 16(12), 4954. https://doi.org/10.3390/su16124954
- Khasawneh, M. a. S. (2024). Teacher opinions on the role of educational robots in enhancing programming skills among hearing-impaired students. International Journal of Learning Teaching and Educational Research, 23(5), 309–322. https://doi.org/10.26803/ijlter.23.5.16
- Kindenberg, B. (2024). ChatGPT-generated and student-written historical narratives: A comparative analysis. Education Sciences, 14(5), 530. https://doi.org/10.3390/educsci14050530
- Lawrence, L., Echeverria, V., Yang, K., Aleven, V., & Rummel, N. (2023). How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process. British Journal of Educational Technology, 55(3), 823–844. https://doi.org/10.1111/bjet.13372
- Lee, V. R., Pope, D., Miles, S., & Zárate, R. C. (2024). Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT. Computers and Education Artificial Intelligence, 7, 100253. https://doi.org/10.1016/j.caeai.2024.100253
- Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2023). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. British Journal of Educational Technology, 55(3), 1082–1104. https://doi.org/10.1111/bjet.13411
- Picciano, A. G. (2024). Graduate teacher education students use and evaluate ChatGPT as an essay-writing tool. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4373
- Sikstrom, P., Valentini, C., Sivunen, A., & Karkkainen, T. (2024). Pedagogical agents communicating and scaffolding students’ learning: High school teachers’ and students’ perspectives. Computers & Education, 222, 105140. https://doi.org/10.1016/j.compedu.2024.105140
- Simeunovic, M., & Ruzicic, V. (2024). Overview and implementation of artificial intelligence in the improvement of educational process. Journal of Scientific & Industrial Research, 83(5). https://doi.org/10.56042/jsir.v83i5.3192
- Siyao, L., Ya, W., & Yingfeng, L. (2024). How can industrial intelligence change the employment structure of the floating population? PLoS ONE, 19(5), e0297266. https://doi.org/10.1371/journal.pone.0297266
- Sperling, K., Stenliden, L., Nissen, J., & Heintz, F. (2024). Behind the scenes of co-designing AI and LA in K-12 education. Postdigital Science and Education, 6(2), 321–341. https://doi.org/10.1007/s42438-023-00417-5
- Yuldashevna, I. A., & Khurana, K. (2024). The impediments to the process of implementing robotics in the school education system in Uzbekistan. SAGE Open, 14(2). https://doi.org/10.1177/21582440241254595
- Zheng, S. (2024). The effects of chatbot use on foreign language reading anxiety and reading performance among Chinese secondary school students. Computers and Education Artificial Intelligence, 7, 100271. https://doi.org/10.1016/j.caeai.2024.100271