基于数据可视化的大学生画像系统构建研究

The Research of the College Student Portrait System Realization Based on Data Visualization

随着教育数据进入大数据时代,教育评价改革需要利用大数据技术探索过程性评价、德智体美劳全要素评价,本文通过采集数字校园平台、在线学习平台等学生数据,从道德品质、学业学习、身心健康、人文底蕴和实践创新五个方面划分画像模型,进行学生画像数据分级标签化,然后通过标准化清洗、建立数据模型、进行数据分析和学生画像可视化呈现,能精准进行个性化的学习模块推荐、学生发展指标预警和为教育管理者提供决策支持,促进学生更好的全面发展。

In the big data era,the educational evaluation will relies on big data technology to realize the evaluation of the process,moral,intellectual, physical,art and labor.In this paper, we collect students’ data from a digital campus platform,online study platform,etc.Firstly,we grade the student portraits from morals,study,mental health,cultural heritage,and practical innovation.After standardization,model,analysis,we present student portraits by visualization.The system supports the recommendation of the personalized learning module,the warning of students’ development metrics,and the assisted decision-making for management.We will promote the development of students from all aspects.