A Competition-oriented Student Team Building Method
There are plenty of important academic competitions,but tra-ditional student team building ways usually only rely on some first-class students or have strong randomness.To choose more appropriate students and improve overall students'abil-ity,we propose a competition-oriented student team building method.We first construct a campus big data platform to collect students'behavior data,including students'theory behavior and practice behavior.It can also collect the com-petition data.We second model competitions and students with a six-tuple property based on the data from the plat-form respectively.A corresponding utility function is then designed for each property in student's model to denote the student's income in this property for attending a competition.Furthermore,a team utility function is developed to denote the income of all involved students.Finally,we apply PSO to build appropriate teams which maximizes the student utility and team utility.Experiment Results demonstrate that our proposed method has better performance,in terms of team utility and student ability,than other methods.Moreover,it balances the difference of the whole students'ability.
team building student model competition model utility function
Dapengqu Qu Songlin Wu
Liaoning University Shenyang,Liaoning
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
141-142
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）