Effect of swimming velocity on arm coordination in the front crawl: a dynamic analysis

We examined the preferred mode of arm coordination in 14 elite male front-crawl swimmers. Each swimmer performed eight successive swim trials in which target velocity increased from the swimmer's usual 3000-m velocity to his maximal velocity. Actual swim velocity, stroke rate, stroke length and the different arm stroke phases were then calculated from video analysis. Arm coordination was quantified by an index of coordination based on the lag time between the propulsive phases of each arm. The index expressed the three coordination modes in the front crawl: opposition, catch-up and superposition. First, in line with the dynamic approach to movement coordination, the index of coordination could be considered as an order parameter that qualitatively captured arm coordination. Second, two coordination modes were observed: a catch-up pattern (index of coordination?=??8.43%) consisting of a lag time between the propulsive phases of each arm, and a relative opposition pattern (index of coordination?=?0.89%) in which the propulsive phase of one arm ended when the propulsive phase of the other arm began. An abrupt change in the coordination pattern occurred at the critical velocity of 1.8?m?·?s^?1, which corresponded to the 100-m pace: the swimmers switched from catch-up to relative opposition. This change in coordination resulted in a reorganization of the arm phases: the duration of the entry and catch phase decreased, while the duration of the pull and push phases increased in relation to the whole stroke. Third, these changes were coupled to increased stroke rate and decreased stroke length, indicating that stroke rate, stroke length, the stroke rate/stroke length ratio, as well as velocity, could be considered as control parameters. The control parameters can be manipulated to facilitate the emergence of specific coordination modes, which is highly relevant to training and learning. By adjusting the control and order parameters within the context of a specific race distance, both coach and swimmer will be able to detect the best adapted pattern for a given race pace and follow how arm coordination changes over the course of training.     

A new index of flat breaststroke propulsion: A comparison of elite men and women

This study examined arm and leg coordination and propulsion during the flat breaststroke in nine elite male and eight elite female swimmers over three race paces (200?m, 100?m and 50?m). Coordination was expressed using four temporal gaps (T1, T2, T3, T4), which described the continuity between the propulsive phases of the limbs, as recorded on a video device (50 Hz). Glide duration was denoted T1, the time between the beginning of arm and leg recovery was denoted T2, the time between the end of arm and the leg recovery was denoted T3, and the time between 90° of flexion during arm recovery and 90° during leg recovery was denoted T4. Using these temporal gaps, four stroke phases (propulsion, glide, recovery and leg insweep) could be followed over a complete arm and leg stroke. The total duration of arm and leg propulsion was assessed by a new index of flat breaststroke propulsion (IFBP). Velocity, stroke rate and stroke length were also calculated for each pace. The elite swimmers showed short T2, T3 and T4; moreover, T1 decreased when the pace increased. Expertise in the flat breaststroke was thus characterized by synchronized arm and leg recoveries and increased continuity in the arm and leg propulsions with increasing velocity. Differences between the sexes in the spatio-temporal parameters were possibly due to anthropometric differences (the men were heavier, older and taller than the women) and different motor organization linked to arm and leg coordination (shorter T3, body glide and body recovery, and greater body propulsion and higher IFBP in the men). The men's propulsive actions showed greater continuity, particularly in the sprint. The best men adopted a superposition coordination and thus had the ability to overcome very great active drag. Temporal gap measurement and the IFBP are practical indicators of arm and leg coordination and propulsion that can be exploited by coaches and swimmers to increase the continuity between propulsive actions during the flat breaststroke.     

Analysing expertise through data mining: an example based on treading water

Abstract

A classification system of treading water based on a conceptual typology was first established and then verified empirically. The typology was established on two concepts: the nature of the forces created within the water and the type of inter-limb coordination used. Thirty-eight participants were videotaped while treading water. Multivariate statistics were used to understand how the different behavioural types related to expertise. Three distinct groups of coordination patterns were adopted during treading water. A support vector machine procedure was used as a confirmatory procedure. The data mining process provides a methodological framework to analyse expertise in sports activities, and in this context suggests that a taxonomy can be established among the numerous coordination solutions that allow humans to create stabilising forces in the water.     

Going Deep into Mechanisms for Moral Reasoning Growth: How Deep Learning Approaches Affect Moral Reasoning Development for First-year Students

The purpose of this paper was to determine the effects of deep approaches to learning on the moral reasoning development of 1,457 first-year students across 19 institutions. Results showed a modest positive relationship between our measures of deep approaches to learning and moral reasoning at the end of the first year of college even after controlling for precollege moral reasoning. After accounting for a host of demographic and relevant student characteristics and for the natural clustering of students, we found that the integrative learning subscale, which captures students’ participation in activities designed to integrate information from varied sources and diverse perspectives, positively affected moral reasoning among first-year students. Implications for researchers and practitioners are discussed.     

In care and digitally savvy? Modern ICT use in long-term care institutions

ABSTRACT

Although information and communication technologies (ICTs), such as smartphones, tablets, and the internet, have all become increasingly important in modern society, available studies on the adoption of ICTs have mostly focused on healthy and community-dwelling “young-old” adults. Relatively little is known about ICT use among long-term care residents, such as “old-old” adults, who often have various functional impairments and live in institutionalized settings. The study includes data on ICT use (TV, radio, computers, smartphones, tablets, and internet) among a large sample of 940 residents (mean age: 87.6 years) living in 20 retirement homes in Zurich, Switzerland. Twenty-one percent of residents reported using the internet, 13% used a smartphone, and 5% used a tablet. Younger older adults, those with more education, those with lower nursing-care levels, and those who reported being particularly interested in technology were more likely to own more than one ICT device. Compared with nonusers, internet users were more likely to be younger, better educated, and more interested in technology in general. Modern ICT usage has reached the long-term care sector and appears to play a significant role in many residents’ lives. Researchers should continue to examine the role of ICTs in the lives of older adults in general and for residents in long-term care in particular, given that this population is often ignored in studies of older adults and ICT use.     

INFLUENCES ON TEACHERS’ JUDGMENT ACCURACY OF READING ABILITIES ON SECOND AND THIRD GRADE STUDENTS: A MULTILEVEL ANALYSIS

The present study aims at examining variables (at individual and class level) that influence the accuracy of teacher judgments of second and third graders’ reading abilities (decoding and reading comprehension). Data of 1,468 students and 86 teachers were collected. Due to the nested structure of the data, multilevel regression analyses were applied. Results revealed about 5% of the variance in judgment accuracy at class level. Generally, teachers judged reading comprehension abilities more accurately than decoding abilities. Low‐achieving students’ abilities, though, were judged less accurately. Accuracy in judging decoding was higher in small classes and in students with special educational needs. Accuracy in judging reading comprehension grew along the years (higher in Grade 3 and at the end of the academic year). Additionally, teachers judged second language learners' reading comprehension less accurately. The results are discussed in the light of implications for teacher training.     

A training programme on managing science class interactions: Its impact on teachers' practises and on their pupils' achievement

This research evaluates the impact of a training programme on trainee physics and chemistry teachers, focusing on the way pupils' explanations are dealt with during teacher-pupil interaction. The population is composed of 10 teachers and 303 pupils, from which the experimental sample was taken (8 teachers and 172 pupils). The qualitative analysis of the recordings of the sessions shows that teachers, after training, are more ready to take pupils' productions into account, use a greater number of appropriate arguments, and are more frequently aware of pupils' misconceptions. A quantitative analysis of the achievement of pupils whose teachers followed the complete programme indicates that pupil outcomes improve. The conditions required for this training to be effective are also explored.     

Data mining and the search for security: Challenges for connecting the dots and databases

Data mining is emerging as one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. In the context of homeland security, data mining is often viewed as a potential means to identify terrorist activities, such as money transfers and communications, and to identify and track individual terrorists themselves, such as through travel and immigration records. However, compared to earlier uses of data mining by government, some of the homeland security data mining applications represent a significant expansion in the quantity and scope of data to be analyzed. Three of the higher profile initiatives include the now defunct Terrorism Information Awareness (TIA) project, the recently canceled Computer-Assisted Passenger Prescreening System II (CAPPS II), and the Multistate Anti-Terrorism Information Exchange (MATRIX) pilot project. This article examines the evolving nature of data mining for homeland security purposes, the limitations of data mining, and some of the issues raised by its expanding use, including data quality, interoperability, mission creep, and privacy.