Breaking the filter bubble: democracy and design

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat filter bubbles. This paper first provides examples of different software designs that try to break filter bubbles. Secondly, we show how norms required by two democracy models dominate the tools that are developed to fight the filter bubbles, while norms of other models are completely missing in the tools. The paper in conclusion argues that democracy itself is a contested concept and points to a variety of norms. Designers of diversity enhancing tools must thus be exposed to diverse conceptions of democracy.     

Building Your Licensing and Negotiation Skills Toolkit

Licensing and the negotiating of electronic resources can be a daunting task for librarians who lack the proper skill sets and are unfamiliar with the intricacies of publisher agreements. Claire Dygert broke down the individual elements of a standard licensing agreement and explained the importance of protecting the rights of libraries. By providing insight from her years of experience, librarians learned how to develop a support network, build confidence, and be more effective negotiators.     

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.     

Competence Profile School Management (CPSM) – an inventory for the self-assessment of school leadership

The professional demands on school leaders have changed drastically and have become highly complex in the last few years. The professionalization of school leaders is high on the agenda. Human resource management includes different aspects of professionalization. One major domain is the preparation, induction and continuous professional development of individual leaders and leadership teams. Another is personnel marketing and selection, which includes the question of attracting capable future leaders and of appointing the right candidates. However in Europe there is a need for standardised tools which provide systematic feedback to professionals interested in assessing their strengths and individual development needs. Suitable instruments are still scarce. The Competence Profile School Management CPSM (German: KompetenzProfil SchulManagement; KPSM) is the first online-based self-assessment in the German language which has been designed to fit the school context and is based on psychometric principles. It offers participants the possibility to reflect their strengths and weaknesses in different requirement areas of school leadership; and to compare their individual results with peers from the school context, thus gaining valuable information on their individual profiles when planning their professional development and careers. After sketching the theoretical and empirical background, this article presents information about the aims and purpose of CPSM, the tool’s development, its test scales and test formats, the results of the pilot study and those of the evaluation study. Then, the further development of the tool in terms of modifications and add-ons are outlined, before, finally, the tool’s contribution to practice and research is discussed.     

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.     

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.     

Phonological Processing and Word Reading in Typically Developing and Reading Disabled Children: Severity Matters

In this study word reading (WR) fluency was used to dichotomously classify 1,598 Dutch children at different cutoffs, indicating (very) poor or (very) good reading performance. Analysis of variance and receiver operating characteristics were used to investigate the effects of rapid automatized naming (RAN) and phonemic awareness (PA) in predicting group membership. The highest predictive values were found for the combination of RAN and PA, particularly for the poorest readers. Furthermore, results indicate that with the severity of impairment, WR is more dominated by deficient PA, which is interpreted as an enduring problem with sublexical processing. Another main result is that with the increase of reading skill, the contribution of PA diminishes, whereas the contribution of RAN remains fairly constant for the whole reading fluency continuum. These results warrant the conclusion that whereas PA hallmarks reading disability, RAN appears to be the default predictor for above-average or excellent reading proficiency.     

Reconceptualizing student ratings of teaching to support quality discourse on student learning: a systems perspective

Higher Education - This paper summarizes the discourse on student ratings of teaching in higher education. It reconceptualizes student ratings within a larger process of promoting quality in...