Small-scale curriculum changes for improving pre-service teachers’ preparation for Family-School Partnerships

Abstract

Family-School Partnerships (FSP) are important for students’ academic achievements and social-emotional development. Therefore, pre-service teachers need to learn how to establish this. However, in teacher education programmes this topic is insufficiently addressed partially attributed to already overloaded programmes. This study reports on a small-scale curriculum change, aiming to foster pre-service teachers’ awareness of the importance of FSP, to broaden their concepts and support them in identifying learning goals for the future. An assignment to interview novice-teachers about FSP was followed by a class on this topic. Afterwards, pre-service teachers reported in written reflections that they had become aware of the importance of FSP, emphasising that FSP is more than just communication. However, their focus for further professionalisation remained on improving their communication skills. Though this small-scale curriculum change seems to be a small step forward to a better preparation on FSP, further improvements are necessary to promote a comprehensive view of FSP.     

For Oscar Glory Or Oscar Money?

This paper investigates the effect of Oscar nominations and awards on movies’ financial success by estimating the impact on weekly returns and on movies’ survival time. Our findings suggest that nominations for Oscars generate substantial extra revenues, while winning an award contributes only little to this extra rent.     

The Appeal of Media Populism: The Media Preferences of Citizens with Populist Attitudes

Although a growing body of literature points to the particular media diet of populist voters, we know too little about what specific media preferences characterize citizens with populist attitudes. This article investigates to what extent citizens with antiestablishment and exclusionist populist attitudes are attracted to attitudinal-congruent media content. We collected survey data using a nationally representative sample (N = 809) and found that citizens’ preferences for media content are in sync with their populist attitudes. Beyond having a tabloidized and entertainment-based media diet, populist voters self-select media content that actively articulates the divide between the “innocent” people and “culprit” others. These findings provide new insights into the appeal of different types of media populism among citizens with populist attitudes on different dimensions.     

Sharing the Stage

Despite the proliferation of research on social media and journalism, only a few studies have analyzed how journalists in Latin America embrace the affordances of social platforms for journalism practice. Based on a survey of 877 Latin American reporters, this article examines the platforms journalists use and how they use them. The broad finding is that, despite the great popularity of Facebook in the region, Twitter is the most important platform for daily newsgathering and journalistic work. Journalists turn to Twitter to find sources and stories, showing an important openness to participatory journalism. Yet, they mistrust information provided from political sources. Our findings show that different regions in Latin America work with social media in different ways, and local journalistic cultures have an impact on these adoptions, especially in the case of Brazil. Further research and implications for the field are discussed.     

Second Screening and Political Persuasion on Social Media

This article seeks to explain political persuasion in relation to second screening—people’s use of a second screen (i.e., smartphone/laptop) while watching television to access further information or discuss TV programs. Employing a two-wave-panel survey in the United States, results show this emergent practice makes people more open to changing their political opinions, particularly among those who habitually use social media for news or frequently interact with others in social media contexts.     

Probabilistic relevance ranking for collaborative filtering

Collaborative filtering is concerned with making recommendations about items to users. Most formulations of the problem are specifically designed for predicting user ratings, assuming past data of explicit user ratings is available. However, in practice we may only have implicit evidence of user preference; and furthermore, a better view of the task is of generating a top-N list of items that the user is most likely to like. In this regard, we argue that collaborative filtering can be directly cast as a relevance ranking problem. We begin with the classic Probability Ranking Principle of information retrieval, proposing a probabilistic item ranking framework. In the framework, we derive two different ranking models, showing that despite their common origin, different factorizations reflect two distinctive ways to approach item ranking. For the model estimations, we limit our discussions to implicit user preference data, and adopt an approximation method introduced in the classic text retrieval model (i.e. the Okapi BM25 formula) to effectively decouple frequency counts and presence/absence counts in the preference data. Furthermore, we extend the basic formula by proposing the Bayesian inference to estimate the probability of relevance (and non-relevance), which largely alleviates the data sparsity problem. Apart from a theoretical contribution, our experiments on real data sets demonstrate that the proposed methods perform significantly better than other strong baselines.

Which New Forms of Television Advertising Are Most Strongly Recalled? A Quantitative Analysis

In recent years the loss of effectiveness of television advertising based on traditional spots has led to the development and consolidation of new forms of advertising. In this article, the authors analyze the recall effectiveness of three new television advertising formats (television billboards, internal telepromotions, and external telepromotions). We use a representative sample of Spanish television audiences to compare the advertising recall generated by each new form of advertising. The empirical analysis, carried out by means of a probit model, shows that television billboards generate better recall than external or internal telepromotions.