The Structural Way for Binding a Learning Material with Personal Preferences of Learners

Q3 Mathematics
R. Yoshinov, O. Iliev
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引用次数: 3

Abstract

Yoshinov R., Iliev O. The Structural Way for Binding a Learning Material with Personal Preferences of Learners. Abstract. Learning content creation process requires more than just collection and presentation of set of information. In order to gain knowledge, the learning content should be designed in such a way to meet predefined learning goals. Learning goals determine the entire process of learning. Bloom’s Taxonomy provides a description of a cognitive process with six hierarchical levels, each containing specific learning goal to achieve. It could be adapted into a model by which tutors create learning materials. However, when it comes to productivity of learning, it is important to consider the personalization of the presented content according to the learning style of the individual. This article analyzes the correlation between Bloom’s Taxonomy and Honey & Mumford’s learning cycle, providing a way to bind the structure of learning material to the personal preferences of learners. This novel way of creating learning materials is integrated into a model that is used for automatic generation of personalized learning materials. The effectiveness of the model is further verified through an experiment with real participants. The results of the experiment show promising potential in the way of how a learner’s capabilities may be enriched. However, while experimenting and rest of the work on the model outline some challenges before the model’s application and future work.
将学习材料与学习者个人偏好相结合的结构方法
杨建军,刘建军。学习材料与学习者个人偏好的结构性结合。摘要学习内容的创建过程需要的不仅仅是一组信息的收集和呈现。为了获得知识,学习内容的设计应该符合预先设定的学习目标。学习目标决定了整个学习过程。Bloom的分类法对认知过程进行了六个层次的描述,每个层次都包含要实现的特定学习目标。它可以被改编成一种导师创建学习材料的模式。然而,当涉及到学习效率时,根据个人的学习风格考虑所呈现内容的个性化是很重要的。本文分析了Bloom分类法与Honey & Mumford学习周期之间的关系,提供了一种将学习材料的结构与学习者的个人偏好联系起来的方法。这种创造学习材料的新方法被集成到一个模型中,用于自动生成个性化的学习材料。通过真实参与者的实验进一步验证了模型的有效性。实验结果显示,在如何丰富学习者的能力方面,有很大的潜力。然而,在模型的实验和其他工作中,在模型的应用和未来的工作之前概述了一些挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SPIIRAS Proceedings
SPIIRAS Proceedings Mathematics-Applied Mathematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
14 weeks
期刊介绍: The SPIIRAS Proceedings journal publishes scientific, scientific-educational, scientific-popular papers relating to computer science, automation, applied mathematics, interdisciplinary research, as well as information technology, the theoretical foundations of computer science (such as mathematical and related to other scientific disciplines), information security and information protection, decision making and artificial intelligence, mathematical modeling, informatization.
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