Information Dissemination Prediction of College Students’ Learning Requirements Based on Mobile Social Network

Abstract

Starting point of this research is the information dissemination and fluctuation of the learning requirements of college students between the student individuals and the mobile learning platforms, to solve this problem, it’s of certain practical value to explore the information dissemination efficiency of college students’ learning requirements under different conditions and study the prediction accuracy optimization method. However, existing studies generally focus on the feasibility of applying existing methods to the prediction of college students’ learning requirements, but the research on such prediction is neither sufficient nor deep enough. This paper constructed a model of college students’ mobile social network based on the actual data of college students’ mobile social behaviors, and innovatively proposed a novel algorithm for predicting college students’ requirements for mobile learning. At last, experimental results verified the effectiveness of the constructed model and the proposed algorithm.

Construction of College Students’ Management Informatization Ecosystem Based on Data Analysis Technology

“…The college student management informatization ecosystem can be composed of multiple informatization applications and tools, which can be interconnected and support each other to form a complete informatization ecosystem, providing support and services for the study and life of college students [1][2][3][4][5][6]. The information ecosystem used for college student management includes learning management systems, task management tools, information collection and organization tools, social networks and online communities, and cloud storage services [7][8][9][10][11][12][13][14].…”