摘要
研究基于能力本位的在线学习评价指标体系,包括评价指标设计和指标权重确定。首先在能力本位教育理念、CDIO教育模式、协作学习理论等思想指导下,建立在线学习评价指标。其次在信息技术助力下,对在线学习行为进行全方位的记录,深度挖掘学习者学习过程数据,实现评价指标自动获取,并保证评价的适应面、可操作性以及稳定性。最后采用层次分析法确定权重,方案简单可行,不易出错从而增强指标权重可靠性。
This paper studies competency-based online learning evaluation index system,including evaluation index design and index weight determination.First of all,online learning evaluation index are established under the guidance of the concept of competency-based education,CDIO education mode,collaborative learning theory.Secondly,with the help of information technology,online learning behavior is recorded in an all-round way,and learners’learning process data is mined in depth to achieve the automatic acquisition of evaluation indicators,and to ensure the adaptability,operability and stability of evaluation.Finally,the analytic hierarchy process is used to determine the weights.The scheme is simple,feasible and it is not easy to make mistakes to enhance the reliability of the index weights.
作者
陈瑛
吴明珠
卢莉
CHEN Ying;WU Ming-zhu;LU li(Guangzhou Institute of Technology,Guangzhou 510000,China)
出处
《南方职业教育学刊》
2020年第4期70-75,共6页
Journal of Southern Vocational Education
基金
广州工程技术职业学院质量工程教育教学改革项目“‘半翻转’教学模式及其评价体系在高职软件技术专业的应用探索”(YJG201903)
关键词
评价指标
指标权重
能力本位
层次分析
evaluation index
index weights
competency-based concept
analytic hierarchy process