Unveiling the Digital Equation Through Innovative Approaches for Teaching Discrete Mathematics to Future Computer Science Educators

Pub Date : 2023-01-01 DOI:10.28945/5208
Zinagul Suranchiyeva, Bektas Bostanov, Serik Kenesbayev, Salamat Idrissov, Kuralay Turganbay
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Abstract

Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model, content, tools, and methods tailored for aspiring computer science teachers. The study draws from both a comprehensive review of relevant literature and the synthesis of the authors’ pedagogical experiences. Methodology: The research utilized a system-activity approach and aligned with the State Educational Standard. It further integrated the theory of continuous education as its psychological and pedagogical foundation. Contribution: A unique model for instructing discrete mathematics elements to future computer science educators has been proposed. This model is underpinned by informative, technological, and personal competencies, intertwined with the mathematical bedrock of computer science. Findings: The study revealed the importance of holistic teaching of discrete mathematics elements for computer science teacher aspirants in line with the Informatics educational programs. An elective course, “Elements of Discrete Mathematics in Computer Science”, comprising three modules, was outlined. Practical examples spotlighting elements of mathematical logic and graph theory of discrete mathematics in programming and computer science were showcased. Recommendations for Practitioners: Future computer science educators should deeply integrate discrete mathematics elements in their teaching methodologies, especially when aligning with professional disciplines of the Informatics educational program. Recommendation for Researchers: Further exploration is recommended on the seamless integration of discrete mathematics elements in diverse computer science curricula, optimizing for varied learning outcomes and student profiles. Impact on Society: Enhancing the quality of teaching discrete mathematics to future computer science teachers can lead to better-educated professionals, driving advancements in the tech industry and contributing to societal progress. Future Research: There is scope to explore the wider applications of the discrete mathematics elements model in varied computer science sub-disciplines, and its adaptability across different educational frameworks.
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通过创新方法向未来的计算机科学教育者教授离散数学,揭示数字方程
目的:本研究旨在提出离散数学元素的学习模型,阐明教学内容,并验证这种学习在数字教育背景下的有效性。背景:数字教育领域的离散数学教学面临挑战,特别是在为有抱负的计算机科学教师量身定制最佳模型、内容、工具和方法方面。本研究对相关文献进行了全面的回顾,并综合了作者的教学经验。研究方法:本研究采用系统活动方法,并与国家教育标准保持一致。它进一步整合了继续教育理论作为其心理和教学基础。贡献:提出了一个独特的模型来指导未来的计算机科学教育者离散数学元素。这个模型以信息、技术和个人能力为基础,与计算机科学的数学基础交织在一起。结果:本研究揭示了离散数学要素整体教学对计算机科学教师的重要性,与信息学教育计划相一致。一门选修课“计算机科学中的离散数学要素”由三个模块组成。并举例说明了程序设计和计算机科学中数学逻辑和离散数学图论的基本原理。对实践者的建议:未来的计算机科学教育者应该在他们的教学方法中深度整合离散数学元素,特别是在与信息学教育计划的专业学科相结合时。对研究人员的建议:建议进一步探索离散数学元素在不同计算机科学课程中的无缝集成,优化不同的学习成果和学生概况。对社会的影响:提高离散数学对未来计算机科学教师的教学质量,可以培养出受过更好教育的专业人员,推动科技行业的进步,为社会进步做出贡献。未来研究:离散数学元素模型在不同的计算机科学分支学科中有更广泛的应用,以及它在不同教育框架中的适应性。
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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