Digital Application Akelius as a Blended Learning Tool

Resource type
Conference Paper
Authors/contributors
Title
Digital Application Akelius as a Blended Learning Tool
Abstract
The article deals with modern approaches to the problem of blended learning, which are based on different criteria for organizing the learning environment depending on the expected learning outcomes. The advantages of blended teaching Russian as a foreign language are creating an individual learning trajectory, taking into account the level of language proficiency, the changing social environment (students are children of migrants), and an inclusive environment. The authors demonstrate the possibilities of using the Akelius digital application for teaching Russian as a foreign language, based on the experience of using it in a blended learning format, possible ways of using the Akelius application in the educational process when teaching language literacy in combination with traditional forms of education. The article focuses on the advantages of this application, built on the principle of a communicative-activity approach, which involves situational learning of a foreign language and is in the nature of inclusion of everyday communication in the language environment. The role of the teacher in the organization of the educational process when learning a new language in conditions of blended learning has also been noted. The authors offer modern teaching technologies that contribute to the transformation of the learning environment into a creative process of socialization of migrant children; demonstrate a lesson model with the use of the Akelius digital application.
Date
2023-09
Proceedings Title
2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Conference Name
2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Volume
1
Pages
602-606
Accessed
31/05/2024, 21:38
Library Catalogue
IEEE Xplore
Extra
ISSN: 2770-4254
Citation
Manapbayeva, Z., & Aliyeva, D. (2023). Digital Application Akelius as a Blended Learning Tool. 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 1, 602–606. https://doi.org/10.1109/IDAACS58523.2023.10348848