Metacognition as a Basis for Learning Support Software

In order to understand the task of instructional designers who produce learning support software, this paper reviews the influence of learning theory on instructional design, recent developments in computer technology, and the evolving role of the instructor as a facilitator of higher-order thinking. Constructivist principles of learning and an appreciation for the fact that the learner must become more independent and skilled in metacognitive self-assessment and self-management are fundamental to this changing role. Two cognitive tools that provide learner/user support for personal construction of knowledge systems are “MindMap” and “Learning FourMat Processor.” These tools are examined in the light of current learning theory and a recent study comparing the work of novice and expert writers using different forms of performance support. Recommendations are made for the development of a more complete set of cognitive tools that enables users to construct their own multimedia knowledge systems based on higher-order thinking and problem solving.     

Detecting potential hucksterism in meta-analysis using a follow-up fail-safe test

Meta-analysis is an analysis of analyses. It is a technique widely used by researchers and practitioners to aggregate and summarize statistically reported empirical educational research. In 10 years, meta-analysis appeared more than 600 times in research journals and dissertation abstracts. Although most meta-analyses were reported as significant, few of the findings determined how many unpublished “no-effect” studies, if sampled, would have invalidated significance. If significant meta-analysis results are over represented through selective sampling, hucksterism in the form of sampling bias exists. An explanation for using a follow-up test called the fail-safe N is provided with tables constructed to assist researchers and practitioners to estimate, without calculation, the relative stability of meta-analysis results. The implication is that failsafe N should routinely be used and reported in meta-analysis research.     

The retrograde motion of planets and children: Interpreting percentile rank

A common method used to interpret raw scores is to convert them into percentile rank. The broad application of percentile rank in almost all norm-referenced tests, and the exclusive use in some tests, requires the conversion of raw scores. Because percentile rank is not a linear transformation of raw scores, percentile-rank transformation in the lower and upper part of the raw-score distribution relates percentile rank and raw scores differently than in the center of the raw-score distribution. This paper describes the popularity of using percentile rank and offers an interpretation of the use of percentile rank with normal and skewed score distributions.     

Cultural Differences in Garnering Social Capital on Facebook: French People Prefer Close Ties and Americans Prefer Distant Ties

The link between social capital (SC) and Facebook has been widely studied in the U.S., and less is known about how students from different cultures use the site to garner SC. We measured network composition, communication on Facebook, and SC via questionnaires in France and the U.S. We found that American students have a greater proportion of distant to close ties in their networks and higher levels of bridging SC than French, the latter preferring bonding SC. A stronger relationship between SC and communication via Facebook was observed in the U.S. These findings are explained by cultural differences in relatedness.     

‘Tidy,toned and fit’: locating healthism within elite athlete programmes

Coaches and athletes have been increasingly inundated with power related ‘truths’ about their bodies, health and performance as they construct their subjectivities. Over the last couple of decades in New Zealand, schools have initiated elite athlete programmes (EAPs) for a select few students based primarily on their athletic ability and fitness levels. Drawing on Gore's techniques of power, my study investigated how healthism and the cult of the body discourses were (re)produced, negotiated and resisted by coaches and elite athletes and how body pedagogies defined and shaped bodies in two high school EAPs. My analysis suggested that ‘toned and fit’ bodies signified responsible athletes compared to ‘fat’ bodies and that elite athletes disciplined their bodies to overcome pain to remain productive. In both EAPs, power circulated at the micro-level of pedagogical practice to normalise and monitor the athletes’ diet, body weight and shape, and reinforced tensions between prudentialism and hedonism.     

Sand training: Exercise-induced muscle damage and inflammatory responses to matched-intensity exercise

This study compared markers of muscle damage and inflammation elevated by a matched-intensity interval running session on soft sand and grass surfaces. In a counterbalanced, repeated-measures and crossover design, 10 well-trained female athletes completed 2 interval-based running sessions 1 week apart on either a grass or a sand surface. Exercise heart rate (HR) was fixed at 83–88% of HR maximum. Venous blood samples were collected pre-, post- and 24?h post-exercise, and analysed for myoglobin (Mb) and C-reactive protein (CRP). Perceptual ratings of exertion (RPE) and muscle soreness (DOMS) were recorded immediately post- and 24?h post-exercise. A significant time effect showed that Mb increased from pre- to post-exercise on grass (p?=?.008) but not on sand (p?=?.611). Furthermore, there was a greater relative increase in Mb on grass compared with that on sand (p?=?.026). No differences in CRP were reported between surfaces (p?>?.05). The HR, RPE and DOMS scores were not significantly different between conditions (p > .05). These results suggest that in response to a matched-intensity exercise bout, markers of post-exercise muscle damage may be reduced by running on softer ground surfaces. Such training strategy may be used to minimize musculoskeletal strain while still incurring an equivalent cardiovascular training stimulus.     

Understanding key performance indicators for breast support: An analysis of breast support effects on biomechanical,physiological and subjective measures during running

To assess the effectiveness of breast support previous studies monitored breast kinematics and kinetics, subjective feedback, muscle activity (EMG), ground reaction forces (GRFs) and physiological measures in isolation. Comparing these variables within one study will establish the key performance variables that distinguish between breast supports during activities such as running. This study investigates the effects of changes in breast support on biomechanical, physiological and subjective measures during running. Ten females (34D) ran for 10 min in high and low breast supports, and for 2 min bare breasted (2.8 m·s^?1). Breast and body kinematics, EMG, expired air and heart rate were recorded. GRFs were recorded during 10 m overground runs (2.8 m·s^?1) and subjective feedback obtained after each condition. Of the 62 variables measured, 22 kinematic and subjective variables were influenced by changes in breast support. Willingness to exercise, time lag and superio-inferior breast velocity were most affected. GRFs, EMG and physiological variables were unaffected by breast support changes during running. Breast displacement reduction, although previously advocated, was not the most sensitive variable to breast support changes during running. Instead breast support products should be assessed using a battery of performance indicators, including the key kinematic and subjective variables identified here.