Exploration of the Reconstruction Path of Student Evaluation System in Artificial Intelligence Education for Normal University Students
Against the backdrop of accelerated digital transformation in education,future teacher trainees need to delve into the application of artificial intelligence in education.In order to accurately evaluate the growth trajectory and ability improvement of normal students in the process of learning artificial intelligence technology,innovative integration of cutting-edge artificial intel-ligence technology methods should be carried out.By building a meta cognitive evaluation framework,organizing interdisciplinary joint evaluations,and establishing a value-added evaluation model that focuses on growth,the student evaluation system should be reconstructed to achieve disciplinary differences in promoting deep learning through reflection,focusing on the application of artificial intelligence education technology,and paying attention to the knowledge accumulation and skill improvement of normal students in new knowledge fields.
normal studentsartificial intelligence educationstudent evaluation
NETL
NSTL
万方数据
