Thinking in hashtags: exploring teenagers’ new literacies practices on twitter

This research investigates how three high school students in the USA developed new literacies practices through their participation in teenage Twitter. Data was collected from two sources, including archival data from participants’ Twitter over a two-year span, and semi-structured interviews. Results found that teenagers developed a number of practices that facilitated orientation to cultural conventions of teenage Twitter, helped them mobilize followers for participatory events, and led to reflective awareness of how to tell stories on Twitter. This study suggests that teenagers used the affordances of Twitter in order to craft multimodal narratives that are co-constructed, participatory, nonlinear, and emergent. Thinking in hashtags, for participants, is a kind of action that serves to develop affinities of relation (to friends, to pop culture, and to new knowledge) through mediatized ‘vital life stuff.’     

ISD model building: From tabula rasa to apple peel

An evidence‐based practice (EBP) model is proposed to replace the more‐art‐than‐science “rope bridge” currently spanning the defining space of a training need and the designing space of a training curriculum. The rope bridge analogy symbolizes a way to address perceived deficiencies and research gaps in the analysis‐design‐development‐implementation‐evaluation (ADDIE) model. Not to be construed as mere window dressing, a developmental model of EBP‐adherent instructional design is offered as a prototype for changing ADDIE's internal landscape and making instructional design more effective.     

Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits

Quantum error correction is an essential ingredient for universal quantum computing.Despite tremendous experimental efforts in the study of quantum error correc...     

Ecologically minded teaching

This study builds upon ongoing research of ecological mindedness by exploring how teachers appraise and incorporate ecological care, interconnectedness, and ecological integrity into lesson planning, as well as how teachers reconcile these qualities with their current professional responsibilities. These topics are explored through educational connoisseurship and criticism, using think alouds to learn from teachers as they plan lessons with the qualities of ecological mindedness as a framework. Findings indicate that teachers view ecological mindedness as relevant for schools in terms of content, engagement, and students’ lives; as compatible with standards and other external mandates; and as a form of character education.     

New evidence of relative age effects in “super-elite” sportsmen: a case for the survival and evolution of the fittest

The relative age effect (RAE) describes an overrepresentation of players born early (Q1) in a selection year and is highly prevalent within youth sport pathways. However, a dearth of research has investigated the RAE at the “super-elite” level. The present research assessed the presence of RAE in super-elite performers. Study 1 investigated RAEs in the world’s best international Test cricketers (N = 262) over a 20-year period according to a robust and stringent “super-elite” criteria. Results revealed the RAE (Q1) when all disciplines were combined. Upon closer examination, this effect was also observed for the batting and spin bowling disciplines, whereas no RAE was found for the pace bowling discipline. Study 2 investigated RAEs in super-elite rugby union players (N = 691) over a 20 year period. Results revealed the RAE for backs (Q1) and a reversal of the traditional RAE (Q4) for forwards, and when all rugby union positions were combined. These findings provide new evidence of RAEs at the super-elite level and present both inter and intra sports differences. Potential explanations for these findings are explored, owing to the survival and evolution of the fittest concepts, and the implications for future research and applied practice are presented.     

Reducing prolonged sedentary time using a treadmill desk acutely improves cardiometabolic risk markers in male and female adults

This study evaluated the acute effects of interrupting prolonged sitting with an accumulated 2 h of light-intensity walking on postprandial cardiometabolic risk markers. In this randomised crossover trial, 24 participants (twelve males) aged 18–55 years took part in two, 6.5 h conditions: 1) prolonged sitting (SIT) and 2) sitting interrupted hourly with 20 min light-intensity treadmill desk walking at between 1.2–3.5 km/h^?1 (INT-SIT). Standardized meals were provided at 0 h and 3 h. Blood samples and blood pressure measures were taken hourly. Statistical analyses were completed using linear mixed models. Postprandial incremental area under the curve responses (mmol/L?6.5 h) for glucose (4.52 [3.47, 5.56] and 6.66 [5.62, 7.71] for INT-SIT and SIT, respectively) and triglycerides (1.96 [0.96, 2.96] and 2.71 [1.70, 3.71] for INT-SIT and SIT, respectively) were significantly lower in INT-SIT than SIT. Mean systolic and diastolic blood pressure responses were lower by 3% and 4%, respectively, in INT-SIT than SIT (P < 0.05). There was no significant condition x sex interaction effect for any outcomes (P > 0.05). These findings suggest that interrupting sitting with an accumulated 2 h of light-intensity walking acutely improves cardiometabolic risk levels in males and females compared with prolonged sitting.     

我们时代的教育

教育是当今世界的一个主要问题。尽管许多问题最先是从西方国家表现出来的,不过现在几乎已是人类普遍的问题:为什么孩子去倾听如此困难,--特别是男孩们?为什么许多孩子被赶出学校?为什么青少年自杀和吸毒率如此之高?是什么导致了学校暴力?我们能对上述问题一言蔽之:教育是否与我们时代的真正需求相匹配?比起以前,我们更需要发现一种新的与自     

A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection

Most recent document standards like XML rely on structured representations. On the other hand, current information retrieval systems have been developed for flat document representations and cannot be easily extended to cope with more complex document types. The design of such systems is still an open problem. We present a new model for structured document retrieval which allows computing scores of document parts. This model is based on Bayesian networks whose conditional probabilities are learnt from a labelled collection of structured documents—which is composed of documents, queries and their associated assessments. Training these models is a complex machine learning task and is not standard. This is the focus of the paper: we propose here to train the structured Bayesian Network model using a cross-entropy training criterion. Results are presented on the INEX corpus of XML documents.