材料专业自主性实验教学体系探索

为了解决工程材料实验教学中心在实验教学上存在的问题,在前期对一门实验课进行新教学方法尝试的基础上,重新设计整个实验教学中心的教学体系,构建了自主性实验教学体系,强调了实验教学应以创新能力培养为核心。新教学体系可调动学生积极性,提高学生创造性思维能力与动手能力。     

试验设计与统计分析课程教学改革与实践

试验设计与统计分析是多个学科的重要专业基础课,对试验设计与统计分析课程内容变革、改进教学方法和教学手段及考核办法等方面进行了论述。     

动物寄生虫病学开放性实践教学探索

为提高动物寄生虫病学实践教学效果,实现创新型人才的培养目标,设计了球虫攻毒、生活史观察、致病性检查以及虫种鉴定等内容,对动物寄生虫病学进行了开放性实践教学的探索并对实验效果进行了考核和问卷调查,结果表明大多数学生能够认真查阅资料进行充分的实验准备,对实验过程中的问题能够进行思考和分析并以科研论文的形式撰写实验报告,实现了多领域实验技能的提高,同时也激发了今后从事科研的兴趣和热情。     

基于Web的机房机时预约管理系统的设计与实现

计算机机房是高校进行人才培养和科学研究不可或缺的场所。为了提高计算机机房的管理效率和服务水平,利用好机房资源,促进机房管理工作的规范化和信息化发展,针对目前机房管理中存在的问题,设计开发了一个基于Web的机房机时预约管理系统,以便更好地为实验教学任课教师提供方便快捷的服务。     

铝硅中间合金熔炼实验的改革思路与实践

结合目前实验教学的现状分析,指出目前实验教学中存在的问题,提出实验教学改革的思路和方案。介绍了广西大学材料科学与工程专业铝硅中间合金熔炼实验的改革情况,总结了改革成效及不足之处,提出今后实验改革的方向和方法。     

通信原理可视化辅助教学研究

为了提高通信原理课程的课堂教学效果,用Visual Basic可视化编程设计制作了通信原理演示系统。演示系统涵盖了通信原理的三大主要基本原理及方法,即模拟通信系统、数字基带系统和数字频带系统。将此演示系统应用于通信原理的课堂教学中,既增加了教学的趣味性和实效性,又提高了教学效果。     

试论加强大学英语教学过程中可理解性语言输入的方法

基于Krashen的可理解性输入理论,从课程教材《大学英语实验教程》的角度进行深入分析,从输入频率、输入文体特征、音效特点等方面着手,筛选、整合来自网络和多年教学中积累的资源,探寻找到接近学生可理解性输入水平（i＋1）的方法,加强实验过程中语言输入环节。     

加强医学生机能学基本实验技能的训练及体会

通过对机能学基本实验技能的强化训练和考评,大大提高了医学生的动手操作能力,规范了学生的实验操作技能,对学生的实验研究能力奠定了坚实的基础,有力地保证了相关实验的顺利开展。     

General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations

Substantively, this study investigates potential heterogeneity in the developmental trajectories of anxiety in adolescence. Methodologically, this study demonstrates the usefulness of general growth mixture analysis (GGMA) in addressing these issues and illustrates the impact of untested invariance assumptions on substantive interpretations. This study relied on data from the Montreal Adolescent Depression Development Project (MADDP), a 4-year follow-up of more than 1,000 adolescents who completed the Beck Anxiety Inventory each year. GGMA models relying on different invariance assumptions were empirically compared. Each of these models converged on a 5-class solution, but yielded different substantive results. The model with class-varying variance–covariance matrices was retained as providing a better fit to the data. These results showed that although elevated levels of anxiety might fluctuate over time, they clearly do not represent a transient phenomenon. This model was then validated in relation to multiple predictors (mostly related to school violence) and outcomes (grade-point average, school dropout, depression, loneliness, and drug-related problems).     

Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation

Latent profile analysis (LPA) has become a popular statistical method for modeling unobserved population heterogeneity in cross-sectionally sampled data, but very few empirical studies have examined the question of how well enumeration indexes accurately identify the correct number of latent profiles present. This Monte Carlo simulation study examined the ability of several classes of enumeration indexes to correctly identify the number of latent population profiles present under 3 different research design conditions: sample size, the number of observed variables used for LPA, and the separation distance among the latent profiles measured in Mahalanobis D units. Results showed that, for the homogeneous population (i.e., the population has k = 1 latent profile) conditions, many of the enumeration indexes used in LPA were able to correctly identify the single latent profile if variances and covariances were freely estimated. However, for a heterogeneous population (i.e., the population has k = 3 distinct latent profiles), the correct identification rate for the enumeration indexes in the k = 3 latent profile conditions was typically very low. These results are compared with the previous cross-sectional mixture modeling studies, and the limitations of this study, as well as future cross-sectional mixture modeling and enumeration index research possibilities, are discussed.