探索多项式知识结构中的良好分级性

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-01-16 DOI:10.1016/j.jmp.2024.102840
Bo Wang , Jinjin Li
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引用次数: 0

摘要

在知识结构理论中,良好等级性通过建立一个系统的、循序渐进的知识体系,对提高学习效率和理解能力起着至关重要的作用。人们在这一领域进行了广泛的研究,并取得了重要发现。本文探讨了多项式知识结构中良好等级性的特性,揭示了经典证实和例外情况。良好分级性的一个关键特征是非空族中相邻元素的距离为 1。本研究探讨了良好分级性的各种表现形式,包括其判别特性及其在判别因子多矩结构中的表现形式。此外,研究还发现了最小多项式状态与经典标准的有趣偏差,揭示了意想不到的行为。
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Exploring well-gradedness in polytomous knowledge structures

Enhancing learning effectiveness and comprehension, well-gradedness plays a crucial role in knowledge structure theory by establishing a systematic and progressive knowledge system. Extensive research has been conducted in this domain, resulting in significant findings. This paper explores the properties of well-gradedness in polytomous knowledge structures, shedding light on both classical confirmations and exceptional cases. A key characteristic of well-gradedness is the presence of adjacent elements within a non-empty family that exhibit a distance of 1. The study investigates various manifestations of well-gradedness, including its discriminative properties and its manifestation in discriminative factorial polytomous structures. Furthermore, intriguing deviations from classical standards in minimal polytomous states are uncovered, revealing unexpected behaviors.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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