Guangdong AIB Polytechnic, Guangdong 510507, China.
Department of Computer Science, Superior University Lahore, Pakistan.
Comput Math Methods Med. 2021 Nov 25;2021:1725490. doi: 10.1155/2021/1725490. eCollection 2021.
The purpose of this article is to perform in-depth research and analysis on the artificial intelligence coordination and optimization mechanism of college counseling student management using big data technology. This study places the collaborative ideological and political work of colleges and universities in the context of big data, and by analyzing its basic connotation and changes in the real situation, it explores the development progression of colleges and universities making full use of big data resources to cultivate a collaborative education model, which is conducive to promoting colleges and universities to cultivate a whole staff, whole process, and all-round accurate ideological education and value-led services and to shape excellent young college students with comprehensive growth. The first is to scientifically build a multilevel linked big data management platform for counselor professionalization construction, plan the technical architecture of the organizational platform, build a cloud database of counselor career files, and extract valuable information and data from the organizational activities at the macrolevel and personal activities at the microlevel with counselor professionalization construction activities; the second is to realize the integrated application of information resources for counselor team construction. The second is to realize the integrated application of counselor team construction information resources, visualise and accurately analyze and evaluate the counselor group's focus on career development and individual counselors' feedback on career capacity construction, and improve the overall construction, personalized education management level, and self-improvement development ability. Fourth, in the professionalization of counselors, attention should be paid to the scientific selection and prevention of risks of big data application, ensuring the authenticity and reliability of data and leakage prevention and control, etc.
本文旨在运用大数据技术对高校辅导学生管理中的人工智能协调优化机制进行深入研究和分析。本研究将高校协同思想政治工作置于大数据背景下，通过分析其基本内涵和现实情况的变化，探讨高校充分利用大数据资源培养协同教育模式的发展进程，有利于促进高校培养具有全面成长的优秀青年大学生。首先，要科学构建辅导员职业化建设多层次关联大数据管理平台，规划组织平台的技术架构，建立辅导员职业档案云数据库，从辅导员职业化建设活动中提取宏观层面的组织活动和微观层面的个人活动的有价值的信息和数据；其次，要实现辅导员队伍建设信息资源的综合应用。其次，要实现辅导员队伍建设信息资源的综合应用，可视化、准确分析和评估辅导员群体对职业发展的关注以及个体辅导员对职业能力建设的反馈，提高整体建设、个性化教育管理水平和自我提升发展能力。第四，在辅导员的专业化过程中，要注重大数据应用的科学选择和风险防范，确保数据的真实性和可靠性，以及数据泄露的防控等。
