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Teaching Methods of Colleges and Universities Based on Intelligent Information Technology

机译：基于智能信息技术的高校教学方法

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摘要

In order to improve the intelligentized level of high efficiency teaching, a teaching optimization method based on intelligent information technology is proposed. The optimized intelligent information processing technology of college teaching includes the module of teaching resource information dispatching, the database module and the intelligent information processing module, and the design of the teaching resource information scheduling model of universities and colleges. The adaptive feedback equilibrium configuration method is used to optimize the allocation of teaching resources in Colleges and universities. Based on the fuzzy partition scheduling method, the intelligent processing of teaching information in Colleges and universities is carried out. The access model of the university teaching resources distributed large database is constructed, and the university teaching large database access and information retrieval are adopted by the driver configuration program. The intelligent information processing technology is used to optimize the teaching methods of colleges and universities. The test results show that this method is used to optimize the design of teaching methods in Colleges and universities, the ability to dispatch and balance the information of teaching resources in Colleges and universities is improved, the intelligent information management of College teaching is realized, it has the higher intelligence level of the teaching methods and the stronger ability of information processing than traditional method.
机译：为了提高高效教学的智能化水平，提出了一种基于智能信息技术的教学优化方法。优化的大学教学智能信息处理技术包括教学资源信息调度模块，数据库模块和智能信息处理模块，以及高等学校教学资源信息调度模型的设计。自适应反馈均衡配置法用于优化高校教学资源的配置。基于模糊分区调度方法，对高校教学信息进行智能处理。构建了大学教学资源分布式大型数据库的访问模型，并通过驱动程序配置程序采用了大学教学资源大型数据库的访问和信息检索。智能信息处理技术被用于优化大学的教学方法。测试结果表明，该方法用于优化大学教学方法的设计，提高了大学教学资源信息的分配和平衡能力，实现了大学教学的智能化信息管理，与传统方法相比，具有较高的教学方法智力水平和较强的信息处理能力。

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