Priming and Fake News: The Effects of Elite Discourse on Evaluations of News Media

Fake news has become a prominent topic of public discussion, particularly among elites. Recent research has explored the prevalence of fake news during the 2016 election cycle and possible effects on electoral outcomes. This scholarship has not yet considered how elite discourse surrounding fake news may influence individual perceptions of real news. Through an experiment, this study explores the effects of elite discourse about fake news on the public’s evaluation of news media. Results show that exposure to elite discourse about fake news leads to lower levels of trust in media and less accurate identification of real news. Therefore, frequent discussion of fake news may affect whether individuals trust news media and the standards with which they evaluate it. This discourse may also prompt the dissemination of false information, particularly when fake news is discussed by elites without context and caution.     

学习科学：推动教育的深层变革

当前教育信息化蓬勃发展,在备受赞赏的同时也屡被质疑。至于原因,恐怕还是“人究竟是怎么学习的,怎样才能促进有效学习？”这一根本性问题依然未得到彻底解决。该文从教育信息化的发展现状谈起,剖析目前存在的问题及解决方法,然后仔细梳理了学习科学的发生、发展和研究现状,指出脑科学与学习、基于大数据的学习分析和技术增强的学习等学习科学研究将有助于推动教育从更深的层面发生变革。     

Modeling Growth in Electronic Learning Environments Using a Longitudinal Random Item Response Model

In educational environments, monitoring persons' progress over time may help teachers to evaluate the effectiveness of their teaching procedures. Electronic learning environments are increasingly being used as part of formal education and resulting datasets can be used to understand and to improve the environment. This study presents longitudinal models based on the item response theory (IRT) for measuring persons' ability within and between study sessions in data from web-based learning environments. Two empirical examples are used to illustrate the presented models. Results show that by incorporating time spent within- and between-study sessions into an IRT model; one is able to track changes in ability of a population of persons or for groups of persons at any time of the learning process.     

Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data

A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (ΔLevels) model and a model involving a quadratic function (Quadratic) for the nonlinear intervention phase data were also estimated. In addition, a simulation study was conducted to assess Markov chain Monte Carlo estimation of the logistic model and compare its trajectory recovery with use of the ΔLevels and Quadratic models. While most of the logistic model's parameter values were recovered well, trajectory recovery was very reasonable using the simpler Quadratic model. Results are discussed along with recommendations for practitioners and directions for future research.     

Endorsing achievement goals exacerbates the big-fish-little-pond effect on academic self-concept

The big-fish-little-pond effect (BFLPE) model predicts students’ academic self-concept to be negatively predicted by the achievement level of their reference group, controlling for individual achievement. Despite an abundance of empirical evidence supporting the BFLPE, there have been relatively few studies searching for possible moderators. Integrating the BFLPE model with Achievement Goal Theory, the present study aims to determine whether the negative effect of class-average achievement on academic self-concept is moderated by individual and class-average achievement goals. Our sample comprised of 2987 students (50% boys) from Grade 6 in 112 elementary schools in the Flemish region of Belgium (174 classes). Applying multilevel modelling, we found a stronger BFLPE when students’ individual achievement goals were higher, regardless of the specific nature of these goals. The BFLPE was not moderated by class-average levels of achievement goals. Overall, our findings demonstrate that the BFLPE is moderated by individual goal-related factors.     

Social capital in the classroom: a study of in-class social capital and school adjustment

Social capital is generally considered beneficial for students’ school adjustment. This paper argues that social relationships among pupils generate social capital at both the individual and the class levels, and that each has its unique effect on pupils’ performance and well-being. The sample in this study consists of 1036 children in 60 first-grade classes in 46 Dutch elementary schools. Multilevel regression results show that a substantial proportion of the variance in school adjustment can be attributed to the class level and that both individual-level and classroom-level social capital have substantial effects on school adjustment. At the individual level, the size of one’s network is more important than its structure. At the collective level, social capital also has a ‘dark side’ because it can have negative effects on adjustment, lowering the academic performance in a class.     

Design and implementation of multi-campus,modular master classes in biochemical engineering

The Master of Science in engineering technology: biochemical engineering is organised in KU Leuven at four geographically dispersed campuses. To sustain the Master's programmes at all campuses, it is clear that a unique education profile at each campus is crucial. In addition, a rationalisation is required by increased cooperation, increased exchange of lecturers, and increased student mobility. To achieve this, a multicampus education system for the M.Sc. in engineering technology: biochemical engineering was developed by offering modules that are also available for students of other campuses. Such a module is primarily based on the research expertise present at the campus. In the development, special attention has been given to the optimal organisation of the modules, evaluation, required modifications of the current curricula, and the practical consequences for students following the module at another campus. Even in the first year of implementation, around 30% of the students followed a multicampus module, which indicates the potential success of the multicampus concept described here.     

Using methodological triangulation to examine the effectiveness of a mentoring program for online instructors

In this quasi-experimental mixed methods study, we examined the effectiveness of a faculty-to-faculty mentoring program to increase student success rates in online courses at an American university. Over one semester, 24 faculty mentees worked with 6 faculty mentors on improving course organization and implementing student engagement techniques. Using methodological triangulation, we found positive results for two of our effectiveness measures (i.e., mentor and mentee feedback and mentors’ ratings of mentees’ courses). However, in terms of our third measure (i.e., student learning data), although institutional data showed that there was a 4.1% aggregate increase in online student success after the intervention, the intervention group made no significantly greater gains than two control groups. Our findings highlight some benefits and shortcomings of these types of university initiatives and also emphasize the importance of using triangulation to integrate participant feedback with formal measures of student success.     

Adventures in Flipping College Algebra

Abstract

This paper outlines the experience of a university professor who implemented flipped learning in two sections of college algebra courses for two semesters. It details how the courses were flipped, what technology was used, advantages, challenges, and results. It explains what students do outside of class, what they do inside class, and discusses what students thought of the course based on surveys and course evaluations. It also compares results on a similar final exam to those of a control group.