初中学生学习品质及其影响机制的实证研究——基于2019年浙江省初中教育质量监测的数据分析

浙江省2019年初中教育质量监测数据的再挖掘,揭示了初中学生学习品质的发展水平、结构特征及影响机制。结果显示,学生学习动力、一般领域学习策略以及数学问题解决策略和科学探究策略中等偏上,自主学习习惯及语文阅读策略相对薄弱。学习品质与学业成绩存在显著性相关,学习动力对学业成绩的影响最大,其次是特定学科的学习策略,再次是自主学习习惯。教师教学和家庭教育等因素能通过学生个性品质对其学习品质产生影响,也能通过对学生一般领域学习品质和特定学科学习策略的影响来影响学业成绩,这与2018年浙江省小学生学习品质评价结果一致。     

“互联网+”时代将井冈山精神融入高校思想政治教育的方法和途径的探讨

"互联网+"时代的到来,为高校思想政治教育工作提供了更为广阔的发展空间,让其能够更顺利地将井冈山精神成功地融入到高校思想政治教学中,一方面能够让学生在学习思想政治教育知识的过程中学习到伟大的井冈山精神以及革命先人的丰功伟绩,另一方面也能够通过将其融入到思想政治理论知识当中,扩大高校思想政治理论体系,丰富这部分的相关内容,让红色井冈山精神更好地在学生之间传承下去。因此,"互联网+"时代将井冈山精神融入高校思想政治教育当中具有重要的研究意义。     

BP神经网络在管道缺陷定量识别中的应用

介绍了漏磁检测的基本原理,分析了管道缺陷的漏磁信号与缺陷几何参数的关系.应用BP神经网络进行了管道缺陷参数的定量识别,识别结果的误差小于10%,完全满足实际检测的要求.     

《中学数学教材教法》课开放式教学改革的探讨

阐述了《中学数学教材教法》课所采取的开放式教学模式的改革尝试，以及在这种模式下所取得的效果。     

边界条件的齐次化方法

在求解数理方法过程中，常遇到非齐次边界条件的定解问题，本文介绍使边界条件齐次化的一般方法。     

A review of using partial least square structural equation modeling in e-learning research

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate statistical modeling technique that educational researchers frequently use. This paper reviews the uses of PLS-SEM in 16 major e-learning journals, and provides guidelines for improving the use of PLS-SEM as well as recommendations for future applications in e-learning research. A total of 53 articles using PLS-SEM published in January 2009–August 2019 are reviewed. We assess these published applications in terms of the following key criteria: reasons for using PLS-SEM, model characteristics, sample characteristics, model evaluations and reporting. Our results reveal that small sample size and nonnormal data are the first two major reasons for using PLS-SEM. Moreover, we have identified how to extend the applications of PLS-SEM in the e-learning research field.     

面向海洋类专业的《数学物理方法》课程思考

数学物理方法作为海洋类专业的学科基础课,其主要任务是把海洋现象抽象为数学问题,运用所学的数学方法求解,然后理解其物理意义。但目前多数涉海院校在该课程的教学内容及教学安排上均存在一些值得思考与改进的地方。本文介绍了数学物理方法的教学内容及课程设置目标,在分析讨论目前教学过程中存在的问题的基础上,针对海洋科学的专业需求,给出了数学物理方法课程内容设置在面向海洋学专业学生教学时的几点思考与建议。     

Examining the reciprocal relations of mathematics anxiety to quantitative reasoning and number knowledge in Chinese children

This study aimed to examine the longitudinal relations of mathematics anxiety to quantitative reasoning and number knowledge in Chinese children. Three hundred and sixteen 6-year-old Chinese children in Hong Kong participated in two waves of assessments, eight months apart. Cross-lagged panel analyses showed that prior quantitative reasoning and number knowledge predicted lower mathematics anxiety, even after the effects of gender, mothers’ educational levels, and general anxiety were taken into account. However, earlier mathematics anxiety did not predict later quantitative reasoning and number knowledge. Our findings were consistent with the Deficit Theory, which postulates that mathematics anxiety comes from poor mathematical competence but not vice versa. We also found a reciprocal association between quantitative reasoning and number knowledge, in which initial quantitative reasoning had a stronger prediction on later number knowledge. Taken together with previous research, this result highlights the importance of quantitative reasoning in children’s mathematics learning and its role in mathematics education.     

基于MatlabATLAB的谱估计方法及算法性能比较

本文简要介绍了随机信号的基本知识,阐述了经典功率谱估计中自相关法和周期图法的算法原理、基本谱估计方法及其改进法,探讨了现代功率谱估计中的AR模型参数估计原理、正则方程的求解算法及AR模型阶次的选择依据,并通过MATLAB软件比较了这些方法各自的优缺点。基于这些优缺点,本文主要是基于MATLAB的功率谱估计方法及算法性能做一分析比较,希望能开发谱估计的相关方法并充分利用该相关方法,如在地震前,如何能既准确又快捷的预测到地震的信号等。