大数据背景下“工程力学”课程互动学习平台研究

RESEARCH ON THE INTERACTIVE LEARNING PLATFORM FOR THE "ENGINEERING MECHANICS" COURSE IN THE CONTEXT OF BIG DATA

  • 摘要: 在大数据时代背景下,“工程力学”课程面临教学内容、方法、实验环节及考核评价体系的创新需求。传统教学忽视学生个体学习能力和反馈,导致关键知识掌握不足,影响学习兴趣。为解决这些问题,本研究提出建立一个课程互动学习平台,通过数据驱动策略动态分析和调整学生的学习需求和知识掌握情况,显著提升教学效果。平台强调适应学生个体差异,提供即时反馈,帮助克服复杂理论概念的理解难题,增强学习动力。利用人工智能算法调整教学内容和进度,确保教学活动符合学生实际能力和需求。通过整合力学实际应用案例与大数据相关学科,构建新的教学路径,旨在培养适应大数据需求的应用创新型人才,为国家发展培养综合性研究人才。

     

    Abstract: In the era of big data, the "Engineering Mechanics" course urgently requires innovative reforms in teaching content, methods, experimental components, and evaluation systems. Traditional instruction in “Engineering Mechanics" often inadequately considers individual student learning abilities and feedback, resulting in insufficient mastery of key concepts and a potential decline in students' interest in the subject. To address these challenges, this study proposes the development of an Interactive Learning Platform. By leveraging data-driven strategies, the platform dynamically analyzes and adapts to students' learning needs and knowledge acquisition, significantly enhancing teaching effectiveness. The platform prioritizes accommodating individual differences and providing immediate feedback, effectively assisting students in overcoming challenges in understanding complex theoretical concepts, thereby increasing learning motivation. Through the use of artificial intelligence algorithms, the platform adjusts instructional content and pace to better match students' actual abilities and needs. Furthermore, by integrating practical applications of mechanics with big data-related disciplines, this study introduces a novel teaching approach aimed at developing innovative capabilities in complex mechanics theory. This new educational system aims to cultivate application-oriented talents capable of meeting the demands of the big data era, thus ensuring that students are well-prepared to keep pace with contemporary developments.

     

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