Selection for special education services: the role of gender and socio-economic status

Children from some demographic groups disproportionately receive special education (SE) services. Due to methodological shortcoming in existing work, it remains unclear whether this is due to real differences in academic needs or cultural selection/bias. Hence, in a community sample of 1250 Norwegian children, we examined the role of third grade SE services, academic test scores, behavioural problems, and teacher’s level of helplessness in mediating the effect of family socio-economic status (SES) and students’ gender on fifth-grade SE services. Results revealed no direct effects of either gender or SES on fifth-grade SE, but four mediated pathways were identified: (1) Boys had a greater likelihood of receiving fifth-grade SE services when (a) they previously received SE and (b) they experienced more ADHD symptoms, both in third grade. (2) Students from low-SES families were more likely to receive SE services in fifth grade when (a) they performed poorly in math in third grade and (b) their teacher reported greater feelings of helplessness when teaching these students. The findings are discussed with respect to the differential-needs hypothesis, mechanisms of cultural selection and the possibility of gendered selection for SE at younger ages.     

中小学教材选用机制之我见

在中小学教材管理机制中,教材选用与教材审查同等重要。回顾我国中小学教材选用制度的历史,比较国外教材选用的机制,立足我国实际,提出建立专门的教材选用机构,确立基于评价的教材选用制度,规范教材选用程序和步骤,保障获取有关选用教材信息的途径丰富而畅通,建立中小学教材选用监督机制,以促进教材选用机制沿着健康的轨道发展。     

案例教学在经济管理和法律等专业中的应用

在经济管理，法律等专业的教学中，经常用到案例教学，它对提高学生的分析问题和解决问题的能力具有重要意义，在案例选择上，要注意经典性，针对性，时效性和对比性，在案例分析过程中，要循序渐进，启发学生深入思考和广泛讨论。     

基于WEB的网上选课系统的设计与实现

本文通过对我校选修课管理过程的分析 ,提出了基于WEB的网上选课系统的设计思想 ,简述了网上选课系统的功能和相关的技术实现 ,并在试运行的基础上对系统的进一步完善提出了改进方案     

改进选题思路提高论文质量

文章介绍了如何指导高等职业学校学生写好调研型论文的方法。     

从皮、裸燕麦种间杂交论科研选题

问题是科学研究的起点,选题是科学研究全过程的第一步。在科学研究过程中,能否敏锐地从科学发展的各种问题中提出有创见性的问题,并从提出的各种问题中形成和选择有价值的研究课题,是科学研究工作能否顺利开展并获得成效的关键。山西省农科院高寒区作物研究所,运用科学的科研选题方法,进行六倍体皮、裸燕麦种间杂交的成功实例,充分说明选题在科学研究工作中的重要作用。     

Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach

Inferences and conclusions drawn from model fitting analyses are commonly based on a single “best fitting” model. If model selection and inference are carried out using the same data model selection, uncertainty is ignored. We illustrate the Type I error inflation that can result from using the same data for model selection and inference, and we then propose a simple bootstrap-based approach to quantify model selection uncertainty in terms of model selection rates. A selection rate can be interpreted as an estimate of the replication probability of a fitted model. The benefits of bootstrapping model selection uncertainty are demonstrated in growth mixture analyses of data from the National Longitudinal Study of Youth, and a 2-group measurement invariance analysis of the Holzinger–Swineford data.     

基于JSP技术开发的网络选课管理系统

本文介绍了一个基于B/S模式的网络选课管理系统,描述了系统的基本模块和功能,并给出了系统实现的一些关键性的代码.     

协同副词“一起”、“一齐”语义选择浅析

协同副词“一起”、“一齐”是一对意义相近极易混淆的词，不过协同副词“一起”、“一齐”在语义选择上，既有相同的一面也有不同的一面。在单数复数、有指定指方面，“一起”、“一齐”都要求所指NP是复数，必须定指；在个体整体、时点时段方面“一起’’倾向表整体，可以与表时点时段的时间词连用，而“一齐”倾向表个体，只能与表时点的时间词连用。     

Personalized learning in iSTART: Past modifications and future design

Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.