三位一体融合教学模式对土力学课程效果的协同影响研究
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1.北京科技大学天津学院 城市建设学院 天津;2.太原理工大学 太原理工大学矿业工程学院 太原

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基于数字化技术的新型教学模式研究——以《土力学》课程为例(tyjy2025006)。


Study on the Synergistic Impact of the Trinity Integration Teaching Model on Soil Mechanics Course EffectivenessXiong Xincai1*, Lu Wei1, Yang Jiangong1,2
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1.Tianjin College University of Science and Technology Beijing;2.Tianjin College, University of Science and Technology Beijing

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    摘要:

    在新工科建设背景下,针对土力学课程存在的知识碎片化、成绩两极分化及教学效率低下等问题,本研究构建“课程思政-线上平台-知识图谱”三位一体融合教学模式,并以天津某高校2020-2022级土木工程专业学生为样本开展实证分析。研究发现:(1)该模式显著优化课程成效,2022级均分达75.11分,较2020级提升18.5%,标准差由18.52降至13.47,变异系数降低11.3个百分点,实现从“低均分+高离散”向“中等均分+低离散”的转型;(2)协同机制驱动教育公平与学习效能双提升:课程思政强化价值引领,线上平台破解课时瓶颈,知识图谱构建系统认知框架,促使低分群体进步明显;(3)基于数据拟合预测2023级均分超80分、标准差趋近12,验证模式可持续性,为新工科同类课程提供可复用的结构化改革路径。

    Abstract:

    Against the backdrop of the Emerging Engineering Education (3E) Construction, this study addresses prevalent issues in Soil Mechanics courses, including fragmented knowledge, polarized academic performance, and low teaching efficiency. It constructs a Trinity Integration Teaching Model encompassing "curriculum ideology and politics, online platform, and knowledge mapping," and conducts an empirical analysis using students from the Civil Engineering program at a university in Tianjin (cohorts 2020-2022) as the sample. The findings reveal: (1) The model significantly optimizes course effectiveness. The 2022 cohort achieved an average score of 75.11, representing an 18.5% increase compared to the 2020 cohort. The standard deviation decreased from 18.52 to 13.47, and the coefficient of variation dropped by 11.3 percentage points, signifying a transition from a "low average + high dispersion" to a "moderate average + low dispersion" profile. (2) The synergistic mechanism drives dual improvements in educational equity and learning efficacy: curriculum ideology and politics strengthen value guidance, the online platform overcomes time constraints, and knowledge mapping constructs a systematic cognitive framework, leading to marked progress among low-performing students. (3) Based on data fitting, the 2023 cohort"s average score is predicted to exceed 80, with the standard deviation approaching 12, validating the model"s sustainability. This provides a replicable, structured reform pathway for similar courses within the Emerging Engineering Education framework.

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  • 收稿日期:2025-08-01
  • 最后修改日期:2025-09-20
  • 录用日期:2025-11-11
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