Analysis of Children’s Sports Evaluation Based on Big Data

Table 1

Big data application framework.

Data collection	Data filtering	Data analysis	Data presentation
Basic information: students’ physiology, psychology, family; basic information of teachers’ teaching, school physical education system.	According to the purpose of the presentation, determine the screening plan	Learning analytics, behavior analysis, and skill level analysis	Curriculum construction is scientific teaching management information
Learning information: students’ learning attitude. Degree of cognition. The degree of completion of learning objectives, learning time, learning methods and means, teachers’ teaching methods, methods, course arrangements, course progress, etc.
Behavioral information: sports activity time, sports events, sports consumption, content and methods of receiving sports information, sports interests, etc.
Sports skill information: physical skill characteristics, sports skill level, study time, participation status, etc.