Science Centers at 40: Middle‐aged Maturity or Mid‐life Crisis?

Abstract Science centers are maturing in an era in which learning has become acutely individualized, self‐empowered, and selective. The science center movement is now faced with a new educational environment that it can either embrace or ignore. What does it mean to be an institution in this deinstitutionalized world?     

The space between: Mix taping as a ritual of distance

ABSTRACT

As an affectively charged medium of communication, the mix tape embodies a registry of human longings. In their accounts of exchanging mixes and their reflections on the meanings attached to them, mixers display the gamut of hopes and fears surrounding their relationships. While the mix tape often is represented as a token of unreserved intimacy, the practice of making and exchanging mixes can as easily be understood as a ritual of distance, one that betrays our ambivalence about dialogue and our delight in one-way communication. Based on interviews with donors and recipients of mix tapes and CDs, I will summarize four versions of the mix as a ritual of distance—communion, devotion, display, and fantasy—each building on its predecessor to round out the mix’s relational meaning.     

Discourse-aware rumour stance classification in social media using sequential classifiers

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or ‘conversational threads’. Testing the effectiveness of four sequential classifiers – Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF), Tree-Structured Conditional Random Fields (Tree CRF) and Long Short Term Memory networks (LSTM) – on eight datasets associated with breaking news stories, and looking at different types of local and contextual features, our work sheds new light on the development of accurate stance classifiers. We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers. Furthermore, we show that LSTM using a reduced set of features can outperform the other sequential classifiers; this performance is consistent across datasets and across types of stances. To conclude, our work also analyses the different features under study, identifying those that best help characterise and distinguish between stances, such as supporting tweets being more likely to be accompanied by evidence than denying tweets. We also set forth a number of directions for future research.     

Autonomy supported,learner-controlled or system-controlled learning in hypermedia environments and the influence of academic self-regulation style

This study focuses on learning in three different hypermedia environments that either support autonomous learning, learner-controlled learning or system-controlled learning and explores the mediating role of academic self-regulation style (ASRS; i.e. a macro level of motivation) on learning. This research was performed to gain more insight in the conditions under which learning in hypermedia environments is effective. Sixty-nine grade five students from a primary school answered short essay questions using video material from a hypermedia environment. The effects on task motivation and test performance were measured. It was found that learners in the autonomy supported hypermedia environment reported lower levels of controlled task motivation, compared to the learners in the system-controlled and learner-controlled hypermedia environments. But there were no effects of hypermedia environment on autonomous task motivation or the reported need fulfilment for autonomy. Furthermore, learners in the learner-controlled hypermedia environment scored lower on a delayed, In-Depth Knowledge Test compared to learners in the other two environments. Moreover, learners in the autonomy supported hypermedia environment watched more (unique) videos compared to learners in the system-controlled and the learner-controlled hypermedia environments. As for the role of learners' ASRS, we found no interaction with the type of hypermedia environment on task motivation or performance. Learners' ASRS did, however, affect the learners' motivation for the task. And, when presented with advice (as in the autonomy supported hypermedia environment) learners with an autonomous self-regulation style followed more advice, compared to learners with a more controlled self-regulation style.     

A content analysis of school anti-bullying policies: a follow-up after six years

An analysis was undertaken of 217 English school anti-bullying policies, from 169 primary schools and 48 secondary schools, using a 34-item scoring scheme. Findings were compared with an analysis of 142 schools six years earlier. Overall schools in the current analysis had about 49% of the items in their policies, a modest increase over the previous study. Most included a definition of bullying and statements about improving school climate but many schools did not mention other important aspects, and there was low coverage of cyberbullying, homophobic bullying, bullying based on disabilities, or faith; teacher–pupil bullying; responsibilities beyond those of teaching staff; following up of incidents; and specific preventative measures such as playground work, peer support, inclusiveness issues, and bullying to and from school. Several improvements in policies, significant for 20 out of 34 criteria were noted. Findings are discussed in terms of national policy, and ways to support schools in maximising the potential of their policies for reducing bullying.