在新时代新征程中,课程思政教育成为高等教育的重要组成部分,是培养学生必不可少的环节。作为通信工程专业的核心课程,“通信电子线路”课程应更好地发挥其思政教育的引领作用。因此,本文分析通信工程专业学生在专业课学习中存在的思政教育问题,对“通信电子线路”课程中蕴含的思政元素进行挖掘和梳理,并积极探索“通信电子线路”的课程思政建设方法和评价体系。实践表明,在专业课教学过程中有机融入思政教育,可以显著提高学习兴趣,加深对专业知识的理解,期末考试平均成绩由75.9分提升到81.5分,提升了7%,达到知识传授、能力培养与价值引领相统一的育人目标。In the new era and new journey, ideological and political education has become an important part of higher education, and is an indispensable segment to train students. As the core course of communication engineering, “Communication Electronic Circuit” should play a leading role in ideological and political education. Therefore, this paper analyzes the ideological and political education problems existing in the learning of professional courses for students majoring in communication engineering, explores and sorts out the ideological and political elements contained in the course of “Communication Electronic Circuit”, and actively explores the ideological and political construction methods and evaluation system. Practice shows that integrating ideological and political education into the teaching process of specialized courses can significantly improve the interest in learning and deepen the understanding of professional knowledge. The average score of the final examination has increased from 75.9 to 81.5, an increase of 7%, and the education goal of knowledge imparts, ability cultivation and value guidance has been achieved.
随着移动互联网+的广泛发展,各行各业的线上线下电子商务模式(online to offline,O2O)也应运而生,然而,同质化竞争和数据价值挖掘不足的问题限制了市场的持续向好发展。聚焦于O2O模式下的顾客满意度研究,提出了一种新型的中文文本预测模...
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随着移动互联网+的广泛发展,各行各业的线上线下电子商务模式(online to offline,O2O)也应运而生,然而,同质化竞争和数据价值挖掘不足的问题限制了市场的持续向好发展。聚焦于O2O模式下的顾客满意度研究,提出了一种新型的中文文本预测模型,命名为W2V-ATT-LSTM。该模型引入Attention机制以提高对重要文本的感知能力,进一步融合W2V和LSTM结构,深度挖掘头部企业真实交易数据进行分析处理、特征选择和模型训练。通过LDA模型进行主题挖掘,深入了解消费者对产品或服务的感受,为企业提供有针对性的改进建议。实验结果显示,W2V-ATT-LSTM模型在公开数据集任务中的准确率(91.4%)、精确率(82.2%)、召回率(81.7%)和F1(81.4%)等指标均优于KNN、贝叶斯、决策树、SVM等传统机器学习算法;在爬虫真实数据集任务中的准确率(94%)、精确率(90%)、召回率(89%)和F1(89%)也优于W2V、LSTM、Bi-LSTM和Bert;在多个公开中文情感分析数据集上的优越性能也表明W2V-ATT-LSTM对于理解和处理自然语言文本具有显著的实际应用价值。在当前竞争激烈的O2O市场,W2V-ATT-LSTM模型能为顾客与商家提供可靠的决策参考,有望帮助企业更好地理解顾客需求,提升服务水平,推动行业良性发展。
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