IJSEA Volume 12 Issue 8

Auxiliary Training System for Preschool Education in Colleges and Universities Based on Feedback Data Mining: From the Perspective of MOOC

Qian HaiJuan
10.7753/IJSEA1208.1076
keywords : Auxiliary Teaching System, Preschool Education, Feedback Data Mining, MOOC

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In this paper, a frequently closed moving trajectory pattern is defined in view of the large scale and redundant information of the frequent pattern of moving trajectory. Based on the classical closed sequential pattern mining algorithm, a frequent closed pattern suitable for moving trajectory data is proposed. Reflecting on the current teaching situation of the course, on the premise of further clarifying the training objectives and increasing the degree of emphasis, the "MOOC" and traditional teaching, the credit recognition of "MOOC", the language of "MOOC", and the development strategy of "MOOC" Research progress etc. Adapt to the actual needs of kindergarten music education, set up courses reasonably, and improve teaching content. The system can be used by teachers, students, and parents for pre-school education, and establish a simple interactive platform for teachers, students, and parents. Safe and reliable and other characteristics, it is worth promoting and using.
@artical{q1282023ijsea12081076,
Title = "Auxiliary Training System for Preschool Education in Colleges and Universities Based on Feedback Data Mining: From the Perspective of MOOC",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="246 - 248",
Year = "2023",
Authors ="Qian HaiJuan"}