基于数据的个性化创新学习评价模型构建与研究

Data-based Construction and Research of Personalized Innovate Learning Evaluation Model

随着教育信息化技术的不断发展,基于在线学习平台的泛在学习已经成为学生学习的重要途径。通过对学习过程中积累的海量数据进行分析挖掘,为全面正确评估学生学习状况,为教学决策和优化教学计划提供了参考依据。从教育大数据出发,通过数据收集与挖掘、学习行为分析、学习评价等角度构建基于大数据的个性化学习评价模型,为泛在学习环境中个性化学习设计和教学优化提供有益参考。

With the continuous development of educational information technology, ubiquitous education based on online learning platform has become an important trend of students’ learning. Through the analysis and mining of the massive educational data accumulated in the learning process, it is possible to comprehensively and correctly evaluate students’ learning situation, improve teaching decision-making and optimize teaching plans. Starting from the big data of education, this study constructs a personalized learning evaluation model based on big data from the perspectives of data collection and mining, learning behavior analysis and learning evaluation, which can provide useful reference for personalized learning design and teaching optimization in the ubiquitous learning environment.