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Personalized Learning Design of Ideology and Politics of Distance Education Courses Based on Big Data

机译：基于大数据的远程教育课程思想政治的个性化学习设计

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摘要

As an important position in education, distance education is a new subject faced by the education community under the new situation. In view of the problem of "islandization" in the process of ideological and political education in distance education based on big data technology, this paper proposes a personalized learning service framework for distance education students’ ideological and political courses, including data management, data analysis layer and service provision. At first, a large amount of remote education course ideological and political data is collected through the network, database and various mobile platforms. After the data is preprocessed, knowledge graphs and data mining techniques are used to mine the ideological and political elements of the course and develop personalized ideological and political learning program. Distance education curriculum ideology and politics are supported to teach students according to their aptitudes, and focus on students’ individualized ideology and politics learning, then improve the teaching effect of distance education ideology and politics lessons.
机译：作为教育的重要职位，远程教育是教育界面临的新局面。鉴于基于大数据技术的远程教育中思想政治教育过程中“岛屿化”的问题，本文为远程教育学生的思想政治课程提供了个性化学习服务框架，包括数据管理，数据分析层和服务提供。首先，通过网络，数据库和各种移动平台收集大量远程教育课程思想政治数据。在预处理数据后，知识图形和数据挖掘技术用于挖掘课程的思想政治要素，并培养个性化思想政治学习计划。远程教育课程思想和政治得到支持根据他们的特点教学，并专注于学生的个性化思想和政治学习，然后提高远程教育意识形态和政治课程的教学效果。

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