摘要
在“为了学习而评价”的影响下,教学评价日益表现出以数据为导向、追踪教学全过程、面向学生全面发展的“伴随”取向。但囿于时间不足、技术条件限制等原因,数据类型单一、反馈不及时、脱离教学情境等仍然是教学评价所面临的重要难题。随着智慧课堂的介入,更多、更细、更高频率的数据可以得到及时的采集,处理、分析这些数据,将有助于发挥评价的导向、激励、调整功能。因此,研究以智慧课堂中动态学习数据的生成、流动与转换为契机,引入了“伴随式评价”的理念,结合智慧课堂中学情诊断—备课、互动参与—教学、成果检验—迁移三个节点,从评价的时间、目的、内容、主体和工具五个层面构建了“伴随式评价”的设计框架,并面向初中英语课程设计了案例。
Influenced by the"evaluation for learning",teaching evaluation has increasingly shown the"accompanying"feature,which is data-oriented,tracking the whole process of learning,and facing students'all-round development.However,due to lack of time and technical support,single data type,untimely feedback and disconnection from teaching situation are still important problems in teaching evaluation.As smart classroom becomes more and more popular,more detailed,higher frequency data can be collected in time.Processing and analyzing those data will help to give play to the guiding,motivating and adjusting functions of evaluation.Therefore,based on the generation,flow and transformation of dynamic learning data in smart classroom,this study introduces the concept of"accompanying evaluation".Combined with the three stages of smart classroom(i.e.lesson preparation,teaching,transfer),this paper constructs the framework of"accompanying evaluation"from the five aspects of time,purpose,content,subject and tool of evaluation,and designs cases for junior high school English.
作者
王小根
单必英
WANG Xiaogen;SHAN Biying(Education Information Research Center,Jiangnan University,Wuxi Jiangsu 214122)
出处
《电化教育研究》
CSSCI
北大核心
2020年第2期60-67,共8页
E-education Research
基金
2017年江南大学高等教育研究专项课题“服务江南大学‘双一流’建设的智慧校园研究”(课题编号：GJYJ/2017/08)
关键词
动态学习数据流
伴随式评价
智慧课堂
初中英语
Dynamic Learning Data Flow
Accompanying Evaluation
Smart Classroom
Junior High School English
