Research on Prediction of “Four Difficult Students” Based on Contextual Awareness in the Era of Big Data

摘要

Aiming at the problem that the predictive effect of the “four difficult students” is difficult to achieve the expected results, a context-aware framework of the “four difficult students” inclined student prediction is proposed. This framework introduces the contextual factors in the environment of students, and further explores the relationship between the students, their situations, and the characteristics of the “four difficult students At the same time, the framework improves the ability of dimensionality reduction and prediction generalization in feature selection. The experimental results show that the context-aware “four difficult students” tendency student prediction framework can be effectively applied to “four difficult students” tendency prediction, so as to provide powerful early warning and timely intervention for the management work of college students.