Xây dựng chuẩn đánh giá năng lực ứng dụng trí tuệ nhân tạo tạo sinh trong dạy học nói và nghe của sinh viên sư phạm Ngữ văn

Tóm tắt

The rapid development of Generative Artificial Intelligence (GenAI) has created an urgent need to equip pre-service teachers with the competency to apply these technologies in teaching. However, existing AI competency frameworks remain generic and have not been tailored to specific subject-area skills, particularly speaking and listening instruction - the least researched area in relation to GenAI in language education. Using a theoretical research design combining literature review and comparative analysis, the study draws upon international and national AI competency frameworks (UNESCO, 2024; Circular 02/2025/TT-BGDDT) and the speaking and listening requirements of the 2018 General Education Curriculum for Vietnamese Language and Literature (MOET, 2018). The study proposes assessment standards comprising five criteria domains (lesson planning, material creation, activity organization, assessment of students’ speaking and listening skills, and self-evaluation and professional development - all with GenAI integration), 12 sub-criteria and 18 behavioral indicators, each described across four proficiency levels (Not yet achieved, Achieved, Good, Excellent).

The standards can serve as both an assessment and self-assessment tool for pre-service teachers, while providing a reference for reforming teacher education programs in the context of AI integration.