Ứng dụng trí tuệ nhân tạo xây dựng rubric đánh giá theo chuẩn đầu ra học phần “Công nghệ dạy học và chuyển đổi số trong giáo dục tiểu học”
Tóm tắt
In the context of Vietnamese higher education shifting to competency-based training, the development of transparent and objective assessment tools according to course output standards (CLO) becomes particularly important. Rubrics are considered effective tools, but the traditional design process is time-consuming and susceptible to subjective influences. The development of artificial intelligence (AI), especially large language models (LLMs), opens up the possibility of optimizing this process. Based on theoretical analysis and CLO references, this article studies the application of AI in rubric design for the course "Teaching Technology and Digital Transformation in Primary Education" of Hanoi Metropolitan University. The study proposes a 6-step process of building rubrics with AI support, thereby developing three complete rubrics for core practice tests and a computational model - reporting the achievement level of each CLO to quantify and visualize learning outcomes. The results show that AI helps shorten design time, reduce the workload for lecturers, and improve consistency, reliability and connection between teaching and assessment. The proposed model can be used as a reference for training institutions in innovating assessment and assessment towards competency development in the context of digital transformation.
Tài liệu tham khảo
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