DATA ANALYSIS AND LANGUAGE MODELS FOR D2C APPLICATIONS IN FOREIGN LANGUAGE LEARNING
| dc.contributor.author | Andriychuk, Sergiy | |
| dc.date.accessioned | 2024-02-29T08:22:59Z | |
| dc.date.available | 2024-02-29T08:22:59Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The landscape of foreign language learning has undergone a significant transformation in the digital age, particularly with the emergence of Direct-to-Consumer (D2C) applications. Relevance of the Topic At the forefront of educational technology, the integration of data analysis and language models in D2C language learning applications like WORDY represents a significant leap. Objective The primary objective of this study is to enhance the WORDY application for foreign language learning through the integration of advanced data analysis techniques and sophisticated language models. Structure of the Report This report offers a comprehensive analysis of the application of data analysis and language models in the WORDY application. It starts with a detailed literature review, leading into an exploration of the WORDY application's design. This design incorporates a thoughtful selection of technologies and frameworks to ensure optimal performance and user experience. | |
| dc.identifier.uri | https://er.auk.edu.ua/handle/234907866/50 | |
| dc.language.iso | en_US | |
| dc.subject | WORDY | |
| dc.subject | DATA ANALYSIS | |
| dc.subject | LANGUAGE MODELS | |
| dc.subject | D2C | |
| dc.subject | FOREIGN LANGUAGE LEARNING | |
| dc.title | DATA ANALYSIS AND LANGUAGE MODELS FOR D2C APPLICATIONS IN FOREIGN LANGUAGE LEARNING | |
| dc.title.alternative | АНАЛІЗ ДАНИХ ТА МОВНІ МОДЕЛІ ДЛЯ D2C ДОДАТКІВ У ВИВЧЕННІ ІНОЗЕМНИХ МОВ | |
| dc.type | Thesis |