The organised chaos of English adolescent rugby union: Influence of weekly match frequency on the variability of match and training loads

The aims of this study were to determine the variability of weekly match and training loads in adolescent rugby union players across a competitive season, and to investigate the effect of match frequency on load distribution across different activities. Internal match and training load data (i.e. session-rating of perceived exertion (sRPE)) were collected daily from 20 players from a regional academy across a 14-week season. Data were analysed using a mixed-effects linear model, and variability was reported as a coefficient of variation (CV). Differences between 0-, 1-, 2-, and 3-match weeks were assessed using Cohen’s d effect sizes and magnitude-based inferences. Mean weekly total match and training sRPE load was 1425?±?545 arbitrary units (AU), with a between-player CV of 10?±?6% and within-player CV of 37?±?3%. Mean week-to-week change in total sRPE load was 497?±?423?AU (35%), and 40% of weekly observations were outside the suggested acute:chronic workload ratio ‘safe zone’. Total weekly sRPE loads increased substantially with match frequency (1210?±?571, 1511?±?489, and 1692?±?517?AU, for 0-, 1-, and 2-match weeks, respectively), except for 3-match weeks (1520?±?442?AU). Weekly match and training loads were highly variable for adolescent rugby players during the competitive season, and match frequency has a substantial effect on the distribution of loads. Therefore, match and training loads should be coordinated, monitored, and managed on an individual basis to protect players from negative training consequences, and to promote long-term athlete development.     

The physical characteristics of match-play in English schoolboy and academy rugby union

The aim was to compare the physical characteristics of under-18 academy and schoolboy rugby union competition by position (forwards and backs). Using a microsensor unit, match characteristics were recorded in 66 players. Locomotor characteristics were assessed by maximum sprint speed (MSS) and total, walking, jogging, striding and sprinting distances. The slow component (<2 m · s^?1) of PlayerLoad^TM (PL_slow), which is the accumulated accelerations from the three axes of movement, was analysed as a measure of low-speed activity (e.g., rucking). A linear mixed-model was assessed with magnitude-based inferences. Academy forwards and backs almost certainly and very likely covered greater total distance than school forwards and backs. Academy players from both positions were also very likely to cover greater jogging distances. Academy backs were very likely to accumulate greater PL_slow and the academy forwards a likely greater sprinting distance than school players in their respective positions. The MSS, total, walking and sprinting distances were greater in backs (likely-almost certainly), while forwards accumulated greater PL_slow (almost certainly) and jogging distance (very likely). The results suggest that academy-standard rugby better prepares players to progress to senior competition compared to schoolboy rugby.     

Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning

Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges known to have negative or protective effects on fast bowlers. Inertial measurement units (IMUs) can classify movements in sports, however, some commercial products can be too expensive for the amateur athlete. As a large number of the world's population has access to an IMU (e.g. smartphones), a system that works on a range of different IMUs may increase the accessibility of automated workload monitoring in sport. Seventeen elite fast bowlers in a training setting were used to train and/or validate five machine learning models by bowling and performing fielding drills. The accuracy of machine learning models trained using data from all three bowling phases (pre-delivery, delivery and post-delivery) were compared to those trained using only the delivery phase at a sampling rate of 250 Hz. Next, models were trained using data down-sampled to 125 Hz, 50 Hz, and 25 Hz to mimic results from lower specification sensors. Models trained using only the delivery phase showed similar accuracy (> 95%) to those trained using all three bowling phases. When delivery-phase data were down-sampled, the accuracy was maintained across all models and sampling frequencies (>96%).     

“We've Got to Keep Meeting Like This”: A Pilot Study Comparing Academic Performance in Shifting-Membership Cooperative Groups Versus Stable-Membership Cooperative Groups in an Introductory-Level Lab

This study examined possible ways to increase student engagement in small sections of a large, introductory-level, required university course. Research shows that cooperative group learning boosts achievement through fostering better interpersonal relationships between students. Cooperative group learning is an evidence-based instructional practice engaging students in active learning. The present study investigated whether cooperative groups with sustained-membership functioned more effectively for boosting performance than shifting-membership cooperative groups. Findings indicated that the amount of class time spent in groups influenced the impact of shifting or sustained-membership. A significant difference in performance was found for sustained-group students when group activities were used the majority of the time during recitation.     

科学教育与ICT角色文献综述:使命、问题与未来的方向

通过追溯英国科学教育的发展,对英国中学科学教育所发生的变革进行描述和境脉介绍,提出了英国科学教育的目标及目前教学存在的问题,重点讨论了ICT应用对科学教学的价值、影响和目前的局限。     

Using educational technology to develop early literacy skills in Sub-Saharan Africa

The research explores the impact of interactive, multimedia literacy software (ABRA) on the reading skills of early elementary students in Kenya. Twelve grade two English teachers and their students from six schools were randomly divided in half: an experimental group (N?=?180) where ABRA was part of their English Language instruction and a control group (N?=?174) where regular instruction was used. After the pre-test student data were collected, a three-day initial training and planning session were held for the experimental teachers on how to use ABRA to teach literacy. Every week each experimental class was bussed to a computer lab with full access to ABRA for one 90-min lesson. Teacher support included the alignment of ABRA lesson plans with the Kenyan English Language norms, weekly web conferences with the trainer, as well as technical and pedagogical help from staff at the lab site. After the 13-week intervention, significant and substantial gains in reading comprehension were found for ABRA students as measured by GRADE, a standardized test of literacy. In addition, ABRA students outperformed their peers in control classes on the core end-of-year subject exams including English, Mathematics, Science and Social Studies.     

It’ll Be Okay,Because We Belong Together: The Influence of Person-Organization Fit on Interpretation of Bad-News Messages in Academic Settings

Higher education has recently faced significant budget cuts. In response, academic leaders must communicate negative information to stakeholders while simultaneously attempting to maintain morale and credibility. This project investigated how students interpret a bad-news message from the university president and examined the impact of person-organization fit and demographic characteristics on interpretations and credibility. In Study 1, participants (N = 52) provided 19 varying interpretations for a real-life message. Using 5 components derived from the interpretations, Study 2 (N = 466) determined that person-organization fit and demographic characteristics influence interpretations and source credibility. Some outcomes varied according to whether participants had previously read the bad-news message.     

Coordination costs and project outcomes in multi-university collaborations

Multi-university collaborations draw on diverse resources and expertise, but they impose coordination costs for bridging institutional differences and geographic distance. We report a study of the coordination activities and project outcomes of 491 research collaborations funded by the US National Science Foundation. Coordination activities, especially division of responsibility for tasks and knowledge transfer among investigators, predicted project outcomes (e.g., producing new knowledge, creating new tools, and training students). However, more universities involved in a collaboration predicted fewer coordination activities and fewer project outcomes. A statistical mediation analysis showed that insufficient coordination explained the negative relationship between multi-university collaboration and project outcomes.