Vol. 9, No 1: 87–94.

Pedagogical sciences

2024

Scientific article

UDK 37.09

pdf-version

Grigory E. Rego
Senior Lecturer, Petrozavodsk State University
(Petrozavodsk, Russia),
regogr@yandex.ru
Elizaveta V. Rego
bachelor's degree, Petrozavodsk State University
(Petrozavodsk, Russia),
romanovaptz@yandex.ru

The Use of Artificial Intelligence Technologies for Providing Individualized Education

Scientific adviser:
Roman V. Voronov
Reviewer:
Evgenia I. Sokolova
Paper submitted on: 11/10/2023;
Accepted on: 03/29/2024;
Published online on: 03/30/2024.
Abstract. The article examines the concept of individualized education as a pedagogical approach aimed at addressing the unique needs of learners. It contrasts standardized and individualized approaches to education, with a particular emphasis on the role of intelligent chatbots in facilitating individualized learning experiences. The article also explores the implementation of AI technologies in creating customized educational programs tailored to each student's individual needs. Such innovations not only enhance the efficiency of knowledge acquisition but also help teachers to save time.
Keywords: Individualization, education, standardized education, artificial intelligence technologies, intelligent chatbot, ChatGPT

For citation: Rego, G. E., Rego, E. V. The Use of Artificial Intelligence Technologies for Providing Individualized Education. StudArctic forum. 2024, 9 (1): 87–94.

References

Lebedintsev V.B. Individualization of education in secondary school. Innovation in Education, 2013, No. 5, pp. 35-47. (In Russ.)

Nartsissova S.Yu. Argumentation, discourse and individualization of education. Psychology and Psychotechnics, 2011, No. 9, pp. 60-70. (In Russ.)

Sakharchuk E.I. Standardization in education: signs of integrity. Izvestia of the Volgograd State Pedagogical University, 2017, No. 3 (116), pp. 49-53. (In Russ.)

Chen L., Chen P., Lin Z. Artificial intelligence in education: A review. IEEE Access, 2020, Vol. 8, pp. 75264-75278. DOI: 10.1109/ACCESS.2020.2988510.

Cumming G., Mcdougall A. Mainstreaming AIED into education? International Journal of Artificial Intelligence in Education, 2000, No. 11, pp. 197-207.

Gabriel I. Artificial intelligence, values, and alignment. Minds and Machines, 2020, Vol. 30, No. 3, pp. 411-437.

Li Z. et al. A survey of convolutional neural networks: analysis, applications, and prospects. IEEE Transactions on Neural Networks and Learning Systems, 2021, June, pp. 1-21. DOI: 10.1109/TNNLS.2021.3084827. 

Lo C.K. What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 2023, Vol. 13, No. 4, pp. 410.

Medsker L.R., Jain L.C. Recurrent neural networks. Design and Applications, 2001, Vol. 5, No. 64-67, pp. 2.

Min B. Recent advances in natural language processing via large pre-trained language models: A survey. ACM Computing Surveys, 2023, Vol. 56, No. 2, pp. 1-40.

Nemorin S. AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 2023, Vol. 48, No. 1, pp. 38-51.

Underwood J., Luckin R. What is AIED and why does education need it. Reporte para el Programa de Investigación en Enseñanza y Aprendizaje: Aprendizaje Mejorado con Tecnología–Inteligencia Artificial en la Educación. Reino Unido. 2011, pp. 1-10. URL: http://tel.ioe.ac.uk/wp-content/uploads/2011/06/telaied_whyaied.pdf.

Vaswani A. Attention is all you need. Advances in neural information processing systems, 2017, Vol. 30, pp. 1-15.

Wu T. A brief overview of ChatGPT: The history, status quo and potential future development. IEEE/CAA Journal of Automatica Sinica, 2023, Vol. 10, No. 5, pp. 1122-1136. DOI: 10.1109/JAS.2023.123618.

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