Abstract
The traditional student professional development trajectory planning method has low accuracy in student behavior prediction. To this end, a method for student professional development trajectory planning based on big data prediction is designed. Mining students’ professional behavior information, cleaning and transforming the data, and establishing student behavior description indicators. Based on this, the student behavior indicators are subdivided, and student professional development trajectory planning is planned based on the predicted student behavior. Experiments have proved that the design of the professional development trajectory planning method based on big data prediction is more accurate than traditional methods for student behavior prediction, and it can meet the needs of student professional development trajectory planning.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cen, Mj., Li, Zz. (2020). Research on Planning Methods of Students’ Professional Development Trajectory Based on Big Data Forecast. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_28
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DOI: https://doi.org/10.1007/978-3-030-63952-5_28
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