The catcher in the lie: The role of emotions and epistemic judgments in changing students’ misconceptions and attitudes in a post-truth era

We extend previous theoretical and empirical work by examining the role that emotions and epistemic judgments play when learning from different refutation plus persuasive and expository plus persuasive texts. We examined how variations in messages designed to change misconceptions and attitudes about genetically modified foods (GMFs) might differentially impact the extent to which individuals engage in epistemic judgments; the emotions individuals experience during learning; and, how epistemic judgments and emotions might facilitate or constrain conceptual and attitudinal change. One hundred twenty-five undergraduate university students were randomly assigned to one of four text conditions: refutation plus positive persuasive text, refutation plus negative persuasive text, expository plus positive persuasive text, or expository plus negative persuasive text. Students were asked to think and emote out loud during learning to capture epistemic judgments and emotions as they occurred in real time. After the learning session, students also self-reported the emotions they experienced during learning. Results revealed that students who were given positive persuasive texts experienced more positive emotions (both intensity and frequency) during learning, whereas those who were given negative persuasive texts experienced more negative emotions (frequency) during learning. Students who were given positive persuasive texts engaged in more epistemic judgments and changed more misconceptions about GMFs compared to students in the other three text conditions. Finally, epistemic judgments were significant positive predictors of conceptual and attitudinal change, and both positive emotions and negative emotions predicted attitudinal change. Implications for theories of conceptual and attitudinal change are discussed.     

Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

Food (in)security communication: a Journal of Applied Communication Research forum addressing current challenges and future possibilities

ABSTRACT

This forum brings together food, (in)security, and communication. The authors participating in this forum center communication as both process and tool for understanding, mitigating, and making meaning of food (in)security. The nine authors together discuss the role of communication in food (in)security, the central challenges for scholars and practitioners working on food (in)security, and the creative possibilities and impacts influencing the future of food (in)security. The forum produces a call for applied scholars to re-imagine communication frameworks in order to make meaningful differences in their communities.     

熵的微分统计法

运用累加局城熵的思路,参考经典统计和量子统计原理,建立一种通俗、直观、朴实的统计法,依据它可顺利地求得体系的熵。     

情绪的动力平衡与体育课学习效果关系

采用情绪量表 ,考察在运动技能学习过程中情绪变化的状况 ,发现在技能学习的不同阶段 ,情绪有其变化的特征 ,随着学习的不断深入 ,情绪总趋势朝良性方向发展 ,这在一定程度上支持了情绪的动力平衡理论。     

对安徽电子信息职业技术学院理工新生近几年最大吸氧量和体形变化趋势的探讨

对1997～2003年3105名男女新生的最大吸氧量进行直接测定.结果:男女新生的最大吸氧量呈逐年下降趋势,男女生分别降了(0.3士0.09)L/min和(0.21士0.07)L/min;体形有逐年瘦长的趋势;经统计处理均具有显著性差异.建议学生在中学阶段就应加强体育锻练,增强体质,改善营养,进一步提高高校体育教学质量.     

我国近代学校体育思想流变及大学体育课程的演进

通过对中国学校体育思想流变的梳理,把握中国学校体育发展的基本脉络;通过考察与近代中国变革几乎同时而生的大学体育课程的演进过程,反观学校体育思想对人才教育和培养的影响.进而从历史的角度,探寻中国学校体育思想的源与流,以及对学校体育发展的作用与局限,为研究中国学校体育未来的发展提供基础和参照.     

哪些研究问题需要用分层线性模型回答

采用常规的回归分析或方差分析处理行为科学与社会科学研究中经常遇到的嵌套数据，不能满足独立观察的假定，得到的标准误差较小，导致I型错误扩大化，同时，也不利于对不同层次变量不同作用的探讨，分层线性则明确区分数据层次，通过对个体水平变量和组别水平变量的分层综合分析，避免了上述弊病，因而可对个体水平的变量进行更准确的预测和更合理的解释，通过实例介绍了将研究问题与分层线性模型有机结合的方法。     

三维影相的新算法——修正的直接线性变换

通过引入摄影机镜头的内、外方位元素的约束条件,导出了一种修正的DLT(MDLT)方法。该方法用于影片和录相的实测,得到一些有意义的结果。当测量的标定控制点点数较少(6～8个),且这些点的位置在空间和成像面分布不均匀时,用MDLT计算的结果比DLT的结果要好,误差可降低80％以上。     

论经济全球化背景下我国价值观念的变革

我国的传统价值观念在经济全球化的浪潮中,将发生一系列深刻的变革:第一,由封闭的价值取向向开放的价值取向转变;第二,由重形式的价值标准向重实效的价值标准转变;第三,由激进的价值目标向现实的价值目标转变;第四,价值实践转变为主观改造和客观改造相结合的价值实践;第五,由“人治”价值观念向“法治”价值观念转变;第六,人生理想由“君子型”向“能力型”转变。