Role of artificial intelligence in education: Perspectives of Peruvian basic education teachers

Authors

DOI:

https://doi.org/10.56294/dm2024325

Keywords:

Artificial Intelligence, Educational Technology, Basic Education, Teachers, Educational Innovation

Abstract

Introduction: in the educational context, the integration of artificial intelligence is transforming the way teachers teach and students learn. However, there are challenges that teachers must face when incorporating artificial intelligence into their pedagogical practice.
Objective: to evaluate the perspectives of Peruvian basic education teachers on the implementation of artificial intelligence in the educational context.
Methods: a quantitative, non-experimental, cross-sectional descriptive study was conducted. The sample consisted of 125 basic education teachers selected through probabilistic sampling. These participants were administered a scale designed to evaluate their perspectives on artificial intelligence, which demonstrated adequate metric properties.
Results: it was found that teachers had a partial knowledge of what artificial intelligence is and its scope. Among the advantages of artificial intelligence, it stands out that it was an effective teaching resource and a necessary tool to provide personalized education. However, among the disadvantages highlighted are concerns that it could foster academic dishonesty, doubts about its reliability, and a lack of confidence in its ability to guarantee the confidentiality of information.
Conclusions: the perspective of basic education teachers on the implementation of artificial intelligence in the educational context is heterogeneous. Although they recognize the disadvantages and have a partial knowledge of what artificial intelligence is and its scope, they show willingness to explore and take advantage of its possibilities in the educational field

References

1. Chichekian T, Benteux B. The potential of learning with (and not from) artificial intelligence in education. Front Artif Intell. 2022;5:903051. https://doi.org/10.3389/frai.2022.903051

2. Estrada E, Paredes Y, Quispe R, Gallegos N, Rivera F, Romaní A. Investigating the attitude of university students towards the use of ChatGPT as a learning resource. Data and Metadata. 2024;3:268. https://doi.org/10.56294/dm2024268

3. Roll I, Wylie R. Evolution and revolution in artificial intelligence in education. Int J Artif Intell Educ. 2016;26:582–599. https://doi.org/10.1007/s40593-016-0110-3

4. Dave M, Patel N. Artificial intelligence in healthcare and education. Br Dent J. 2023;234(10):761-764. https://doi.org/10.1038%2Fs41415-023-5845-2

5. Auza J, Carías J, Vedia O, Robles S, Sánchez C, Apaza B. Bibliometric analysis of the worldwide scholarly output on artificial intelligence in Scopus. Gamification and Augmented Reality. 2023;1:11. https://doi.org/10.56294/gr202311

6. Hwang G, Xie H, Wah B, Gašević D. Vision, challenges, roles and research issues of artificial intelligence in Education. Comput. Educ.: Artif. Intell. 2020;1:100001. https://doi.org/10.1016/j.caeai.2020.100001

7. Kay J. AI and education: Grand challenges. IEEE Intell Syst. 2012;27(5):66-69. https://doi.org/10.1109/MIS.2012.92

8. Kamalov F, Santandreu D, Gurrib I. New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability. 2023;15:12451. https://doi.org/10.3390/su151612451

9. González V, Prendes P, Roig R. Artificial intelligence for student assessment: A systematic review. Appl Sci. 2021;11:5467. https://doi.org/10.3390/app11125467

10. Martín P, Merchán A, Ruiz M. Formadores virtuales con inteligencia artificial: grado de aceptación entre estudiantes universitarios. Educar. 2022;58(2):427–442. https://doi.org/10.5565/rev/educar.1482

11. Khan I, Ahmad A, Jabeur N, et al. An artificial intelligence approach to monitor student performance and devise preventive measures. Smart Learn Environ. 2021;8:17. https://doi.org/10.1186/s40561-021-00161-y

12. Birks D, Clare J. Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks. Int J Educ Integr. 2023;19:20. https://doi.org/10.1007/s40979-023-00142-3

13. Gartner S, Krašna M. Artificial intelligence in education-ethical framework. In: 2023 12th Mediterranean Conference on Embedded Computing (MECO). IEEE; 2023. p. 1-7. https://doi.org/10.1109/MECO58584.2023.10155012

14. Vaassen B. AI, opacity, and personal autonomy. Philos Technol. 2022;35(4):88. https://doi.org/10.1007/s13347-022-00577-5

15. Murtaza M, Ahmed Y, Shamsi J, Sherwani F, Usman M. AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access. 2022;10:81323-81342. https://doi.org/10.1109/ACCESS.2022.3193938

16. Cukurova M, Luckin R, Kent C. Impact of an artificial intelligence research frame on the perceived credibility of educational research evidence. Int J Artif Intell Educ. 2020;30(2):205-235. https://doi.org/10.1007/s40593-019-00188-w

17. Delgado N, Campo L, Sainz M, Etxabe J. Aplicación de la Inteligencia Artificial (IA) en Educación: Los beneficios y limitaciones de la IA percibidos por el profesorado de educación primaria, educación secundaria y educación superior. REIFOP. 2024;27(1):207–224. https://doi.org/10.6018/reifop.577211

18. Chounta I, Bardone E, Raudsep A, et al. Exploring Teachers’ perceptions of artificial intelligence as a tool to support their practice in Estonian K-12 education. Int J Artif Intell Educ. 2022;32:725–755. https://doi.org/10.1007/s40593-021-00243-5

19. Woodruff K, Hutson J, Arnone K. Perceptions and barriers to adopting artificial intelligence in K-12 education: A survey of educators in fifty states. In: Reimagining Education - The Role of E-Learning, Creativity, and Technology in the Post-Pandemic Era. 2023. https://doi.org/10.5772/intechopen.1002741

20. Hernández R, Mendoza C. Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. México: McGraw-Hill; 2018.

21. Uygun D. Teachers’ perspectives on artificial intelligence in education. Adv Mobile Learn Educ Res. 2024;4(1):931-939. https://doi.org/10.25082/AMLER.2024.01.005

22. Saputra I, Astuti M, Sayuti M, Kusumastuti D. Integration of artificial intelligence in education: Opportunities, challenges, threats and obstacles. A literature review. Indonesian J Comput Sci. 2023;12(4):1590-1600. https://doi.org/10.33022/ijcs.v12i4.3266

23. Estrada E, Manrique Y, Díaz V, Rucoba J, Paredes Y, Quispe R, Quispe D. Assessment of the level of knowledge on artificial intelligence in a sample of university professors: A descriptive study. Data and Metadata. 2024;3:285. https://doi.org/10.56294/dm2024285

24. Gonzabay G, León M. Inteligencia artificial en la evaluación de aprendizaje y saber del docente en la EEB Mercedes Moreno Irigoyen y la EEB Presidente Tamayo [tesis de licenciatura]. La Libertad: Universidad Estatal Península de Santa Elena; 2024.

25. Yue M, Jong M, Ng D. Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education. Educ Inf Technol. 2024; 2024:1. https://doi.org/10.1007/s10639-024-12621-2

26. Grassini S. Shaping the future of education: Exploring the potential and consequences of ai and chatgpt in educational settings. Educ Sci. 2023; 13:692. https://doi.org/10.3390/educsci13070692

27. Carbonell C, Burgos S, Calderón D, Paredes O. La inteligencia artificial en el contexto de la formación educativa. Episteme Koinonía. 2023;6(12):152-166. https://doi.org/10.35381/e.k.v6i12.2547

28. Ayala M. Artificial intelligence in education: Exploring the potential benefits and risks. 593 Digital Publisher CEIT. 2023;8(3):892-899. https://doi.org/10.33386/593dp.2023.3.1827

29. Karan B, Angadi G. Potential risks of artificial intelligence integration into school education: A systematic review. Bull Sci Technol Soc. 2023;43(3-4):67-85. https://doi.org/10.1177/02704676231224705

30. Zeide E. The structural consequences of big data-driven education. Big Data. 2017;5(2):164-172. https://doi.org/10.1089/big.2016.0061

31. Bulathwela S, Pérez M, Holloway C, Cukurova M, Shawe J. Artificial Intelligence alone will not democratise education: On Educational inequality, techno-solutionism and inclusive tools. Sustainability. 2024;16:781. https://doi.org/10.3390/su16020781

32. Bahroun Z, Anane C, Ahmed V, Zacca A. Transforming Education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability. 2023;15:12983. https://doi.org/10.3390/su151712983

Downloads

Published

2024-01-01

Issue

Section

Original

How to Cite

1.
Estrada-Araoz EG, Quispe-Aquise J, Malaga-Yllpa Y, Larico-Uchamaco GR, Pizarro-Osorio GR, Mendoza-Zuñiga M, et al. Role of artificial intelligence in education: Perspectives of Peruvian basic education teachers. Data and Metadata [Internet]. 2024 Jan. 1 [cited 2024 Dec. 21];3:325. Available from: https://dm.ageditor.ar/index.php/dm/article/view/296