Department of Literary Law System, Beijing Haidian District Staff University, Beijing 100083, China.
Logistics College, Beijing Wuzi University, Beijing 101149, China.
Comput Intell Neurosci. 2022 Jun 29;2022:9867001. doi: 10.1155/2022/9867001. eCollection 2022.
This paper first analyzes the characteristics of students' OLB and stimulates students' online learning motivation based on the locus of control (LoC) stimulation model. Through data mining technology, this paper puts forward the analysis model of OLB, the sequence mining model of OLB, and the interactive model of OLB. Finally, a psychological state perception model based on OLB analysis is constructed; MAE and MSE are used as indexes to compare the fitting effects of GBRT, AdaBoostRegression, LinearSVR, and LinearRegression algorithms on the model. The results show that the relationship between students' psychological state and OLB is very close. While the model constructed has certain predictive ability for students' psychological state perception of OLB, which has certain practical significance for the regulation of students' learning behavior.
本文首先分析了学生 OLB 的特点，并基于控制点（LoC）激励模型激发学生的在线学习动机。通过数据挖掘技术，本文提出了 OLB 的分析模型、OLB 的序列挖掘模型和 OLB 的交互模型。最后，构建了基于 OLB 分析的心理状态感知模型；使用 MAE 和 MSE 作为指标，比较了 GBRT、AdaBoostRegression、LinearSVR 和 LinearRegression 算法对模型的拟合效果。结果表明，学生的心理状态与 OLB 之间的关系非常密切。同时，构建的模型对学生 OLB 心理状态感知具有一定的预测能力，对学生学习行为的调节具有一定的实际意义。
