师范生人工智能教育中学生评价体系的重构路径探索
Exploration of the Reconstruction Path of Student Evaluation System in Artificial Intelligence Education for Normal University Students
张语家1
作者信息
- 1. 郑州师范学院 学生处,河南 郑州 450044
- 折叠
摘要
在教育数字化转型加速背景下,作为未来教师的师范生需要深入学习人工智能在教育中的应用.为精准评估师范生在人工智能技术学习过程中的成长轨迹与能力提升,应创新性地结合前沿人工智能技术手段,通过搭建元认知评价支架、组织跨学科联合评价、建立关注成长的增值评价模型进行学生评价体系的重构,实现以反思促进学生深度学习、体现人工智能教育技术应用的学科差异性,并关注师范生在新知识领域内的知识积累与技能提升.
Abstract
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.
关键词
师范生/人工智能教育/学生评价Key words
normal students/artificial intelligence education/student evaluation引用本文复制引用
基金项目
2022年河南省哲学社会科学规划年度项目(2022BJY039)
2022年郑州师范学院教师教育课程改革研究一般项目(JSJY-221981)
出版年
2024
NETL
NSTL
万方数据