课堂教学质量的区间值模糊评判

通过一元实函数和可信度的引入，给出了fuzzy区间数的一种排序方法，并就区间数fuzzy综合评判建立了一种课堂教学质量的综合评判模型．     

Teachers’ pedagogical decision‐making and influences on this when teaching students with severe intellectual disabilities

This article focuses on teachers' pedagogical decision‐making and influences on this decision‐making when teaching students with severe intellectual disabilities. The research reported and discussed forms part of an international collaborative research project in the south west of England and Florida, US. The study is set within the broader socio‐political context of inclusion, contributing a pedagogical dimension to other aspects of inclusion, such as placement, curriculum and accountability. Houssaye's (2000) pedagogical interaction model is examined and adapted to situate and analyse teachers’ pedagogical decision‐making, and influences on this, when teaching students with severe intellectual disabilities. The study shows a prominence and privileging of pedagogical decisions and influences around teacher‐student pedagogical interactions over curriculum‐teacher or curriculum‐student pedagogical interactions. The implications of this emphasis are considered in the historical context of teaching and learning models and approaches for this group of learners.     

人工智能在多领域中的应用、发展和展望

本文主要介绍了人工智能技术及其中的几种方法,并重点介绍了人工智能技术在几个领域中的应用,最后对人工智能技术的发展提出展望.     

Building Latent Class Growth Trees

Researchers use latent class growth (LCG) analysis to detect meaningful subpopulations that display different growth curves. However, especially when the number of classes required to obtain a good fit is large, interpretation of the encountered class-specific curves might not be straightforward. To overcome this problem, we propose an alternative way of performing LCG analysis, which we call LCG tree (LCGT) modeling. For this purpose, a recursive partitioning procedure similar to divisive hierarchical cluster analysis is used: Classes are split until a certain criterion indicates that the fit does not improve. The advantage of the LCGT approach compared to the standard LCG approach is that it gives a clear insight into how the latent classes are formed and how solutions with different numbers of classes relate. The practical use of the approach is illustrated using applications on drug use during adolescence and mood regulation during the day.     

城市需水量预测方法与模型综述

通过需水量预测能实现城市供水系统最优控制,以达成供需平衡和节约能耗目的。分析2010-2019年部分有关城市需水量预测相关文献,对现有城市需水量预测方法与模型进行综述,提出目前需水量预测存在的问题及建议,为城市需水量预测后续研究提供基础与借鉴。     

煤矿瓦斯安全评价指标体系构建

针对目前煤矿瓦斯安全方面存在的问题,以矿井的瓦斯安全为研究对象,运用层次分析法(AHP),确定了矿井瓦斯安全各主要影响因素的权重,对影响矿井瓦斯安全的主要因素进行加权,获得了比较实际的权重结果,为矿井瓦斯安全评价提供了更准确的依据。     

新会市经济发展与淡水资源利用战略研究

根据新会市总体规划、经济状况和供水发展需求,本市淡水资源的利用,除了继续使用潭江水源外,重点应作战略转移,从潭江转向西江,在西江河段开设新的取水点,建立水厂。据研究,新的取水点设于西江的牛牯臀河段最佳,水质好,管道线路短,兼顾了礼乐、三江、睦洲等乡镇供水,总投资比其他方刻低。此外各乡镇供水可因地制宜,利用就近水库水和地下水.     

Maintenance and non-maintenance of community language in immigrant families: the case of Polish parents in the UK

ABSTRACT

This paper examines Polish immigrant parents’ perceptions of their community language value, the factors that shape their approaches to children’s language education, and the different outcomes on the spectrum of language maintenance/non-maintenance they achieve. It focuses on the empirical findings and interprets them with reference to Bourdieu’s theory of practice. It argues that a better understanding of migrants’ diverse experiences can be aided by an analysis of capital interactions and transformations in response to the socio-cultural environment. At the same time, it suggests that the negative impact of anti-migration socio-political structures and discourses on language practices should not be assumed.     

Improving teacher education in the Netherlands: data team as learning team?

Using data in a professional learning community is a promising form of professional development. In this study, we followed a data team of teacher educators, who systematically tried to improve the education of student teachers (by decreasing first year drop-out). By conducting a single case study, we investigated the data team participants' learning in depth. We analysed the team's conversations and investigated the role of the data coach. The results of our observations and interviews showed that the conversations in the data team (1) provided a context for learning; (2) were relevant and slowly reached a higher level of inquiry as the meetings continued; (3) were focused on teaching and learning, although the action plan developed involved general actions and was not so much related to their own teaching and learning; (4) could reach greater depth when the conversations were informed by data.     

Algorithm for solving the bi-level decision making problem with continuous variables in the upper level based on genetic algorithm

1 Introduction a The bi-level decision-making is a complex majorized problem. Its effective solution is not easy to obtain by traditional majorized methods. Reported methods to solve the bi-level decision making problem with continuous variables include neural network [1], Monte Carlo simulated annealing algorithm [2], etc. However, the efficiency and accuracy of such neural network methods are ideal and accompanied with a long iterative time and a slow convergence speed. In this paper, the …