Anthropometric and physical abilities profiles: US National Skeleton Team

The aim of this study was to characterize sprint ability, anthropometry, and lower extremity power in the US National Team Skeleton athletes. Fourteen athletes (male n = 7; mean +/- SD: height 1.794 +/- 0.063 m, body mass 81.2 +/- 3.7 kg, age 26.9 +/- 4.1 years; female n = 7; 1.642 +/- 0.055 m, 60.1 +/- 5.9 kg, 27.3 +/- 6.9 years) volunteered to participate. Sprinting ability was measured over multiple intervals using custom infrared timing gates in both an upright and a crouched sprint. The crouched sprint was performed while pushing a wheeled-simulated skeleton sled on rails on an outdoor skeleton and bobsleigh start track. Crouched skeleton sprint starts were able to achieve about 70% to 85% of the upright sprint times. The mean somatotype ratings for females were: 3.5-3.5-2.1, and males: 3.6-4.9-1.9. Lower extremity strength and power were measured via vertical jumps on a portable force platform using squat and countermovement jumps, and jumps with added mass. Jump height, power, rate offorce development and peak force were determined from force-time data. Lower extremity strength and power were strongly correlated with both upright and crouched sprint times. The results indicated that these athletes are strong sprinters with varying body structures, mostly mesomorphic, and that stronger and more powerful athletes tend to be better starters.     

Shoe collar height effect on athletic performance,ankle joint kinematics and kinetics during unanticipated maximum-effort side-cutting performance

Side-step cutting manoeuvres comprise the coordination between planting and non-planting legs. Increased shoe collar height is expected to influence ankle biomechanics of both legs and possibly respective cutting performance. This study examined the shoe collar height effect on kinematics and kinetics of planting and non-planting legs during an unanticipated side-step cutting. Fifteen university basketball players performed maximum-effort side-step cutting to the left 45° direction or a straight ahead run in response to a random light signal. Seven successful cutting trials were collected for each condition. Athletic performance, ground reaction force, ankle kinematics and kinetics of both legs were analysed using paired t-tests. Results indicated that high-collar shoes resulted in less ankle inversion and external rotation during initial contact for the planting leg. The high-collar shoes also exhibited a smaller ankle range of motion in the sagittal and transverse planes for both legs, respectively. However, no collar effect was found for ankle moments and performance indicators including cutting performance time, ground contact time, propulsion ground reaction forces and impulses. These findings indicated that high-collar shoes altered ankle positioning and restricted ankle joint freedom movements in both legs, while no negative effect was found for athletic cutting performance.     

Latin American Education: Perceptions of linearities and the construction of discursive space

Through an account of eight contemporary books that refer to Latin American education, this article offers an interpretation of the processes of construction of 'Latin American discursive space'. The similarities in the principles that dominated the latest educational reforms in the region and the main perspectives that 'explain' these similarities in the literature are taken as the starting point. The article then suggests another interpretation, based on the analysis of discourse, to understand limitations for thought and action in Latin American education.     

The Effect of Age and Task Difficulty

Electronic Performance Monitoring (EPM) is a common technique used to record employee performance. EPM may include counting computer keystrokes, monitoring employees' phone calls or internet activity, or documenting time spent on work activities. Despite EPM's prevalence, no studies have examined how this management tool affects older workers–a steadily increasing labor pool. In the current interdisciplinary study, 85 older (M=46.9 years) and 77 younger participants (M=22.1 years) were randomly assigned to perform a simple or difficult computer data‐entry task under two conditions: monitored or not monitored. ANCOVA results indicated that EPM decreased performance and induced higher stress levels compared to non‐monitored conditions when computer experience levels were controlled. Additionally, older adults showed a trend of being more impacted by EPM when compared with younger adults. Results are discussed in terms of how EPM might be most effectively used by organizations while minimizing employee stress levels.     

Learning presence: Additional research on a new conceptual element within the Community of Inquiry (CoI) framework

This paper presents an empirical study grounded in the Community of Inquiry framework (Garrison, Anderson Archer, 2000) and employs quantitative content analysis of student discourse and other artifacts of learning in online courses in an effort to enhance and improve the framework and offer practical implications for online education. As a theoretical framework the purpose of the widely referenced CoI model is to describe, explain, and predict learning in online environments. The current study grows out of an ongoing research agenda to understand student and faculty experiences in emerging technology-mediated education systems and to make recommendations for theory and practice. The major question addressed here is whether the CoI model adequately explains effective learner behavior in fully online courses and to articulate a new conceptual element — learning presence. Results indicate that learning presence is evident in more complex learning activities that promote collaboration and is correlated with course grades.     

Item Position and Item Difficulty Change in an IRT-Based Common Item Equating Design

In operational testing programs using item response theory (IRT), item parameter invariance is threatened when an item appears in a different location on the live test than it did when it was field tested. This study utilizes data from a large state's assessments to model change in Rasch item difficulty (RID) as a function of item position change, test level, test content, and item format. As a follow-up to the real data analysis, a simulation study was performed to assess the effect of item position change on equating. Results from this study indicate that item position change significantly affects change in RID. In addition, although the test construction procedures used in the investigated state seem to somewhat mitigate the impact of item position change, equating results might be impacted in testing programs where other test construction practices or equating methods are utilized.     

Reliability of near-infrared spectroscopy for determining muscle oxygen saturation during exercise

Near-infrared spectroscopy is currently used to assess changes in the oxygen saturation of the muscle during exercise. The primary purpose of this study was to assess the reliability of near-infrared spectroscopy in determining muscle oxygen saturation (StO2) in the vastus lateralis during cycling and the gastrocnemius during running for exercise intensities at lactate threshold and maximal effort. Test-retest reliability was determined from an intraclass correlation coefficient obtained from a one-way analysis of variance. Reliability of muscle StO2 for the gastrocnemius at lactate threshold was R = .87, and R = .88 at maximal effort. Reliability of muscle StO2 for the vastus lateralis at lactate threshold was R = .94 and R = .99 at maximal effort.     

Decoding the Digital Campus Climate for Prospective LGBTQ+ Community Colleges Students

LGBTQ+ students are increasingly visible on community college campuses, and a safe and welcoming campus climate is critical to LGBTQ+ students’ academic success and well-being. Campus climate is difficult to assess for prospective LGBTQ+ community college students, and institutional websites may be a source of information about campus climate. This study used content analysis to document and analyze the digital campus climate for prospective LGBTQ+ students in the community colleges context by examining institutional websites. Using a mixed methods approach, website content of nine community colleges was analyzed, and both the quantity and nature of the content were used to make sense of colleges’ digital campus climate for prospective LGBTQ+ students. With the exception of a couple colleges, we found that the digital campus climate was not welcoming to prospective LGBTQ+ students. The results suggest that community colleges need to enhance their website in several ways and expand their overall programming (academic and non-academic) to ensure prospective LGBTQ+ students feel welcomed and safe on community college campuses.     

The Predictive Validity of Interim Assessment Scores Based on the Full-Information Bifactor Model for the Prediction of End-of-Grade Test Performance

Interim tests are a central component of district-wide assessment systems, yet their technical quality to guide decisions (e.g., instructional) has been repeatedly questioned. In response, the study purpose was to investigate the validity of a series of English Language Arts (ELA) interim assessments in terms of dimensionality and prediction of summative test performance, based on Grade 6 student data (N = 4,651) from a larger, urban district. Factor analytic results supported modeling the interim test data in terms of a bifactor model (Gibbons & Hedeker, 1992), with items reporting moderate to high relationships to the primary dimension (i.e., ELA) and varying estimates on the secondary domains. Hierarchical multiple linear regression results indicated that primary ELA scores were the strongest predictors of summative test performance, with subscale scores not improving predictive accuracy. Findings address issues pertaining to investigating the technical quality of test data widely used in district-wide assessment systems.     

Inferring Student Learning Behaviour from Website Interactions: A Usage Analysis

Web-based learning environments are now used extensively as integral components of course delivery in tertiary education. To provide an effective learning environment, it is important that educators understand how these environments are used by their students. In conventional teaching environments educators are able to obtain feedback on student learning experiences in face-to-face interactions with their students, enabling continual evaluation of their teaching programs. However, when students work in electronic environments, this informal monitoring is not possible; educators must look for other ways to attain this information. Capturing and recording student interactions with a website provides a rich source of information from data that is gathered unobtrusively. The aim of this study was firstly to explore what information can be gained from analysing student interactions with Web-based learning environments and secondly to determine the value of this process in providing information about student learning behaviours and learning outcomes. This study has provided critical information to educators about the learning behaviour of their students, informing future enhancements and developments to a courseware website and the teaching program it supports.