Asian Journal of Social Science Research (Jun 2024)

Study on the path of optimization academic early warning mechanism

  • Wang Jun,
  • Nasser Salim

DOI
https://doi.org/10.5281/zenodo.12703508
Journal volume & issue
Vol. 6, no. 1
pp. 80 – 89

Abstract

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The academic early warning mechanism is an important measure for improving the quality of talent cultivation in local universities. However, the current mechanism is lacking in flexibility, systematicity, and synergy, which reduces its effectiveness and relevance. This paper examines the problems of the current academic early warning mechanism at a local university using a combination of literature review and descriptive research. Under the background of "Three All-round Education", focused optimization suggestions are offered, and an 'academic early warning mechanism for college students' is built with subject synergy, cycle development, and three-dimensional support. The study suggests optimization strategies based on the concept of "Three All-round Education". It also develops an academic early warning system for college students that includes' subject synergy,' 'cycle development,' and 'three-dimensional support.' The study found that by strengthening the synergistic efficacy of the main body of education, basing it on the whole cycle of academic development, and strengthening the three-dimensional support system, an all-member, all-process, all-around academic early warning mechanism can be effectively constructed, which will help colleges to strengthen the construction of academic atmosphere. This mechanism can assist colleges in strengthening the foundation of academic culture and improving the quality of talent development. This study applies the concept of "Three All-round Education" to explore the optimization path of college students' academic early warning mechanisms. The study enriches the theory of education management and provides important theoretical contributions and practical guidance for improving the college academic management system and optimizing teaching quality.

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