摘要
学习分析技术为提升学习质量提供了新的思路。而从学习分析在学习评价、诊断、预测、干预的实际应用来看,评价模型的建立是重要的基础。本研究以学生综合评价为目标,通过理论演绎和专家访谈构建了以投入度、完成度、调控度、联通度和主动性为核心的五维度综合评价参考理论模型;并通过学习行为数据聚合特征变量,构建了相应的计算模型。在此基础上,进行了相应的工具设计和研发,并通过实践应用验证了学生综合评价参考模型的科学性和可用性。本研究为学生的综合测评提供了理论上的参考,为学习分析技术的实践应用提供了方法和思路上的借鉴。
Learning analyties technology provides a new idea to improve learning quality. Looking at the practical applications of learning analyties in learning assessment, diagnosis, prediction and intervention, we can find that the construction of assessment model is the most important. Aiming at systematic evaluation of students' learning, this study constructed a theoretical model through theoretical deduction and expert interviews. The model contained five core dimensions of reference indicator: engagement, completeness, regulation, connectivity and initiative. A corresponding computational model was developed through characteristic variable aggregation using learning behavior data. Based on the theoretical and computational models, an evaluation tool was designed and developed. The scientificity and usability of the students systematic evaluation reference indicator were verified in practices. This study informed the theoretical research on systematic evaluation of students and the application of learning analytics technology in practices.
出处
《电化教育研究》
CSSCI
北大核心
2016年第9期33-40,共8页
E-education Research
基金
北京师范大学自主科研基金项目"学习者在线学习状态分析与可视化工具研发"(项目编号:SKZZB2015013)
关键词
学习分析技术
学生综合评价参考模型
学习评价
Learning Analytics Technology
Student Systematic Evaluation Reference Indicator (S-SERI)
Learning Evaluation