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首页> 外文期刊>Information Technologies and Learning Tools >THE MODEL FOR ADAPTIVE LEARNING SYSTEMS OF OPEN EDUCATION INFORMATION ENVIRONMENT
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THE MODEL FOR ADAPTIVE LEARNING SYSTEMS OF OPEN EDUCATION INFORMATION ENVIRONMENT

机译：开放教育信息环境自适应学习系统模型

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The article states that the main feature of modern learning is its personalized orientation, adaptability of the educational process to the student’s individual needs. Such training is adaptive. Today, the vast majority of learning content for adaptive learning is characterized by rather primitive feedback relationship between the learner’s personal needs and the adaptation of learning aiming at meeting those needs. Typically, this link is based on an analysis of the student's learning process, test results, and minor subjective factors, while current adaptive technologies allow for a more in-depth determination of the learning situation and students’ individual characteristics. In our view, this problem can be solved by applying a number of tools and techniques, namely student’s individual and typological characteristics, the ability to monitor the student's thinking, and adaptive analytics of the learning process. It is noted that one of the promising directions of providing adaptive learning conditions should be the creation of adaptive learning systems, the functioning of which is ensured by technologies using artificial intelligence. It is emphasized that the use of artificial intelligence in adaptive learning systems helps personalize the learning approach for each student in order to make learning as effective as possible. It is noted that the introduction of artificial intelligence should be aimed at preserving and enhancing all strong aspects of the teacher. The effectiveness of this process depends not only on which and how many ICTs are used in educational environments, but how well they are mastered by students, educators, research workers, and organizers of the educational process, how actively and pedagogically these technologies are applied. In view of these issues, a conceptual model for adaptive learning system is proposed and substantiated.
机译：文章称，现代学习的主要特征是其个性化的方向，教育过程的适应性对学生的个人需求。这种培训是自适应的。今天，自适应学习的绝大多数学习内容的特点是学习者个人需求与旨在满足这些需求的学习的适应之间的相当原始的反馈关系。通常，该链接基于学生的学习过程，测试结果和轻微主观因素的分析，而当前的自适应技术允许更深入地确定学习情况和学生的个人特征。我们认为，通过应用许多工具和技术，即学生的个人和类型学特征，可以解决这个问题，即监测学生思维的能力和学习过程的自适应分析。应注意，提供自适应学习条件的有希望的方向应该是创建自适应学习系统，其功能由使用人工智能的技术确保。强调，在自适应学习系统中使用人工智能有助于个性化每个学生的学习方法，以便尽可能有效地学习。值得注意的是，人工智能的引入应旨在保留和增强教师的所有强大方面。该过程的有效性不仅取决于哪些信息，而且在教育环境中使用了多少个ICT，而且学生，教育工作者，研究人员和教育过程的组织者掌握了如何应用这些技术的应用程度。鉴于这些问题，提出和证实了自适应学习系统的概念模型。

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