Distance learning of a foreign language in the context of neuropedagogical factors

Ескіз

Дата

2024

DOI

https://doi.org/10.18662/brain/15.1/539

Науковий ступінь

Рівень дисертації

Шифр та назва спеціальності

Рада захисту

Установа захисту

Науковий керівник

Члени комітету

Назва журналу

Номер ISSN

Назва тому

Видавець

LUMEN Publishing

Анотація

The relevance of the article lies in the fact that in our time, the organization of distance learning when learning a foreign language is extremely relevant. The purpose of the article: to find out the main terms and forms of distance learning; consider the features of online education; explore platforms for the convenient organization of online learning; highlight the advantages and disadvantages of distance learning when learning a foreign language as an aspect of neuropedagogical training. Work methods: compare the analysis of literary sources on the research problem; to systematize the researched; compare the benefits of distance learning. The novelty of using mobile technologies, which is extremely effective and necessary when learning a foreign language online. Results: synchronous, asynchronous and mixed learning are distinguished among distance learning forms. E-learning is a basic form that has both advantages and disadvantages. Blackboard is widely used among e-learning platforms. Conclusion: the role of the teacher who uses interactive forms of learning for mobile learning has changed. The Internet provides a wide selection of modern materials for learning a foreign language. Students and teachers accept online education with desire and interest, increase their information and communication competence. Physical activity is necessary for long-term work on educational platforms.

Опис

Ключові слова

online, synchronous, asynchronous, distance education, virtual class, mobile learning, neuropedagogy

Бібліографічний опис

Distance learning of a foreign language in the context of neuropedagogical factors / Yuliia Lakhmotova [et al.] // BRAIN. Broad Research in Artificial Intelligence and Neuroscience. – 2024. – Vol. 15, iss. 1. – P. 105-121.

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