To solve the problems of insufficient accuracy and long calculation time of task-driven teaching quality evaluation,this paper proposes a task-driven teaching evaluation method based on data mining.In order to avoid the'saturation phenomenon',the data is firstly normalized and a new comprehensive index is obtained through linear combination.Then,according to the correlation,the appropriate quality evalua-tion form is selected,and the particle swarm optimization technology is used to optimize the data mining set-ting.Thus,a task-driven teaching quality evaluation model is established,and an online teaching evalua-tion system is constructed based on Scala.The system is applied to the quality evaluation of task-driven teaching to verify the feasibility.The results show that the algorithm can effectively improve the accuracy of teaching quality evaluation and save computing time.
关键词
数据挖掘/任务驱动式教学/指标体系/质量评估/Scala
Key words
data mining/task-driven teaching/indicator system/quality evaluation/Scala
维普
万方数据