Founding complexes of multi-stage mathematical and informational tasks in the hybrid intellectual environment of school mathematics

E. Smirnov, Sergey A. Tikhomirov, E. A. Zubova
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引用次数: 1

Abstract

Introduction. The development of educational motivation and creativity of each student is possible in the conditions of complex knowledge level adaptation with the support of hybrid intelligent systems. The multiplicity of goal-setting and choice, the symbiosis of mathematical and computer modeling become the real result of founding complexes mastering multi-stage mathematical and informational tasks in student’s research activity in secondary school. These processes lead to each student’s self-organization and cultures dialogue, support for the development of scientific knowledge methods and modern achievements in science adaptation to school mathematics. The main objective of the study is the development of methodological, substantive and technological foundations of the design and actualization of digital transformation processes and hybrid intellectual environment support of student’s scientific potential growth. Support of hybrid intellectual environment in the development of hierarchical bases and founding complexes of multi-stage mathematical and informational tasks in student’s research activities are revealed. Materials and methods. Using the methods of visual modeling and founding of personal experience, the architecture, parameters and functional organization of the intellectual management of each student’s design and research activities in a rich information and educational environment of complex mathematical knowledge mastering are determined. Founding complexes research of multy-stage mathematical and informational tasks are presented as mechanism of each student’s scientific potential growth. Mathematical and computer modeling is the main instrument of modern achievements in science adaptation to school mathematics. Results. We propose the following typology and stages of design levels of student’s research activity in hybrid intellectual environment: search-reproductive, empirical, theoretical and creative. The architecture, content and structure support of hybrid neural environment determine the factors of effective growth of each student’s scientific potential. The technological stages of founding procedures into the adaptation processes of complex knowledge introduction (modern achievements of science) to school mathematics reveal the orientation and essence of pedagogical innovations. The model of founding generalized cluster for the adapting process of complex knowledge mastering (using the example of fuzzy sets and fuzzy logic) integrates the motivational, meaningful and applied complexes to support the creative activity of each student. Conclusions. The implementation of these stages led to synergetic effects manifestation and phenomenological type of modeling reflection of generalized construct essence and each student’s research activity with hybrid neural environment to support the growth of student’s scientific potential.
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在学校数学的混合智力环境中建立多阶段数学和信息任务的复合体
介绍。在混合智能系统的支持下,在复杂的知识水平适应条件下,每个学生的教育动机和创造力的发展是可能的。目标设定与选择的多样性,数学建模与计算机建模的共生,成为中学学生科研活动中多阶段数学与信息任务建立综合体的真实结果。这些过程导致每个学生的自我组织和文化对话,支持科学知识方法的发展和现代科学成果适应学校数学。研究的主要目的是为设计和实现数字化转换过程和支持学生科学潜力增长的混合智力环境提供方法论、实质性和技术基础。揭示了混合智力环境对学生研究活动中多阶段数学和信息任务的分层基础和建立复合体的支持作用。材料和方法。采用可视化建模和个人经验建立的方法,确定了在掌握复杂数学知识的丰富信息和教育环境中,每个学生的设计和研究活动的智能管理的架构、参数和功能组织。多阶段数学任务和信息任务的建立复调研究是每个学生科学潜能成长的机制。数学和计算机建模是现代科学成果适应学校数学的主要工具。结果。我们提出了在混合智力环境中学生研究活动的类型和设计水平的阶段:搜索-再现,经验,理论和创造性。混合神经环境的结构、内容和结构支持决定了每个学生科学潜能有效发展的因素。复杂知识引进(现代科学成果)对学校数学的适应过程中的技术阶段揭示了教学创新的取向和本质。建立复杂知识掌握适应过程的广义聚类模型(以模糊集和模糊逻辑为例),将动机性、有意义性和应用性的复合体整合在一起,支持每个学生的创造性活动。结论。这些阶段的实施导致了协同效应的表现和现象学类型的广义构念本质的建模反映以及每个学生的研究活动与混合神经环境,以支持学生的科学潜力的增长。
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Perspektivy Nauki i Obrazovania
Perspektivy Nauki i Obrazovania Arts and Humanities-Philosophy
CiteScore
0.80
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0.00%
发文量
162
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