学校道德社会化构成要素研究:进展与困惑

Moral socialization of students consists of five elements: process, subject, agent, content and pattern. This paper discusses the studies of the former three: their progress and perplexities, covering the following puzzles: “Why does the youth socialization take longer time?” “Are there any critical periods in student socialization?” “How do we identify over-socialization?” “Is ‘Education is student-based’ a scientific statement?” “How do we assess the contribution percentages of the four key agents of student socialization?”     

Batch process monitoring based on multilevel ICA-PCA

In this paper, we describe a new batch process monitoring method based on multilevel independent component analysis and principal component analysis （MLICA-PCA）. Unlike the conventional multi-way principal component analysis （MPCA） method, MLICA-PCA provides a separated interpretation for multilevel batch process data. Batch process data are partitioned into two levels： the within-batch level and the between-batch level. In each level, the Gaussian and non-Gaussian components of process information can be separately extracted.I^2 T^2 and SPE statistics are individually built and monitored. The new method facilitates fault diagnosis. Since the two variation levels are decomposed, the variables responsible for faults in each level can be identified and interpreted more easily. A case study of the Dupont benchmark process showed that the proposed method was more efficient and interpretable in fault detection and diagnosis, compared to the alternative batch process monitoring method.     

A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks

We propose the spectrum allocation and resource scheduling algorithms in cognitive point to multipoint （PMP） networks with rapid changes of spectrum opportunities and present a media access control （MAC） protocol based on these algorithms. The objective of spectrum allocation is to make efficient use of the spectrum while maintaining the transceiver synchronization on frequency and time in the network. The objective of resource scheduling is to guarantee the quality of service （QoS） requirements of different kinds of connections and to minimize the total energy consumption in the network as well. By sensing only a small set of possible channels in each slot based on the state transition probability of each channel, our spectrum allocation algorithm achieves high spectrum efficiency in the network. The resource scheduling problem is divided into three sub problems and we derive optimal solutions to these problems by greedy algorithm and convex optimization. The simulation results show that our algorithm can make efficient use of the spectrum and the network resources at a cost of low computational complexity.     

优化本科教学工作水平评估方案的建模研究

通过调查问卷的方式对各一级指标、二级指标和主要观测点的重要性进行排序,利用层次分析法建立了确定权重的模型,并用Mathematica编程实现了权重的求解,从而得出各指标与主要观测点的权重值,该方法和结论对改进优化本科教学工作水平评估方案具有一定的参考意义。     

企业机遇管理的理论模型与核心流程

在分析企业机遇的概念、性质和分类的基础上，提出了企业机遇的理论模型。该模型明确了企业机遇的本质与开发途径，以及企业机遇与各形势变量之间的理论关系。特别是提出了一种新的机遇评价公式，可供研究者参考。     

基于语文核心素养的SCORE课堂教学模式构建

基于语文核心素养的SCORE课堂教学模式的心理学依据源于马斯洛的需求层次理论,其教育学理论基础则在于当代素质教育和课程改革所围绕和提倡的学生核心素养的培养。SCORE课堂教学模式的设计原则是推动自主学习和原生态学习;其过程系统是秉持学生本位原则和社会性育人目标,以课前学情解析为教学起点,以设置发布综合性任务的形式,在引导和辅助学生获取新知识的过程中,培养学生的学习能力、探索能力和交流能力。     

海带多酚提取工艺优化及抗氧化性研究

以海带多酚为研究对象,考察提取温度、料液比和超声时间对海带游离多酚和结合多酚提取率的影响、采用正交试验对多酚提取工艺进行优化,并通过测定多酚对DPPH自由基的清除能力评估其抗氧化性.结果表明,海带多酚的最佳提取工艺为:料液比为1:30(g/mL)、提取温度为40℃、超声时间为30 min.在此工艺条件下,海带总多酚的提取率为2.74%.当浓度为2.0 mg/mL时,游离多酚和结合多酚对DPPH·的清除率分别为41.72%和19.37%,表明海带多酚具有一定的抗氧化活性,且游离多酚的抗氧化活性高于结合多酚。     

现代高职教育课程的教学设计体系构建与运行实践

现代高职课程教学设计建立在行为主义、认知主义等以“教”为中心的教学理论和建构主义等以“学”为中心的教学理论之基础上。鉴于高职教育的职业性、技能性、高等性、创新性、素养性等特点,理论上建构主义更适合高职课程教学,但对教师的教学能力要求更高,现实中行为主义与认知主义应用则更加普遍。基于高职教育学生职业能力目标,构建恰当的现代高职课程整体与单元教学设计体系,实施典型的高职课堂教学活动过程,对开展“三教”改革具有引领和推动意义。     

面向过程的计算机课程高效线上教学方案研究——以计算机网络课程为例

针对疫情期间线上教学时学生学习积极性不高、学生提问不能及时得到解答、教师不能掌握学生学习进度等问题,分析了当前在线教学方法的弊端。结合“互联网+”、“SPOC+翻转课堂”与问题驱动教学,提出用分组方式调动学生积极性、用多种方式考核学生学习过程的方案,并以大连理工大学软件学院计算机网络课程为例,对课程内容及教学形式进行改革。     

基于系统动力学的在线学习投入度影响研究——学习生态观视角

为全面系统分析在线学习投入度影响因素,提升学习者在线学习质量,从学习生态观视角出发,使用系统动力学方法,构建学习者在线学习投入度影响因素系统动力学模型。采用层次分析法对模型进行仿真分析,结果显示：教学环境、社会交互环境、情感心理环境对学习者在线学习投入影响较强,物理环境和制度规范环境影响较弱。进一步分析表明,教学活动设计、与教师交互和情感体验是影响在线学习投入的高杠杆因素。从精心设计教学活动,优化教学环境;发挥教师主导作用,构造多边良性循环的社会交互环境;增强学习者情感体验,构建各子系统协同共建的情感心理环境等方面着手,致力于提升学习者在线学习质量,能促进在线学习系统平衡、协调和可持续发展。