Year: 2024
Type: article
Abstract: The rapid digitalization of all spheres of life has made digital competence development among modern foreign language teachers crucial to preparing competitive specialists. Using GPT chat as a primary learning tool, future teachers must anticipate the outcomes of such interactions and design tasks according to a specific algorithm. This research aims to develop digital competence in future foreign language teachers by applying GPT chat within the framework of Task-Based Learning (TBL) for teaching English. The choice of GPT chat is based on its significant didactic potential, the limited methodological approaches for its use in foreign language teacher training, and the low proficiency levels among teachers in utilizing this tool effectively. To build digital competence with GPT chat, an algorithm was designed for student interaction in the context of a communicative situation, such as "Receiving unexpected guests." The novelty of this research lies in the practical development of an algorithm for student interaction with GPT chat to enhance speaking competence through TBL. This approach incorporates real-life, problem-based tasks. Additionally, the research advances the methodology of teaching speaking with the phased use of GPT chat, introduces specific "prompts" for generating instructions, and establishes criteria for assessing speaking skills. The use of GPT chat to evaluate speaking promotes student autonomy. The formulated "prompts" serve to clarify task content, align with learners' speech competence levels, and connect tasks to real-life outcomes. Digital competence development is holistic, achieved by integrating oral communication skills and social abilities
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4405886995