142 resultados para Mathematical ability

em Deakin Research Online - Australia


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A 'rubric' is a way of assessing what an individual student has learned about a particular topic. A rubric uses a checklist made of the sub-tasks or components within the task, with graded descriptions of how well a student can DO or has LEARNED the task.

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The ability to calculate drug dosages correctly is an essential skill for registered nurses to possess. Performing drug calculations accurately is not a skill that new graduates have the luxury of developing over time. Drug errors are in many instances directly related to either the administration of an incorrect dose or incorrect infusion rate (Gladstone, 1995) caused by calculation errors. A strategy for implementing drug calculation skills into our new under graduate nursing curriculum was initiated to assist students in developing proficiency in drug calculations. The aim of this program is to promote the development of calculation skills in undergraduate nursing students, rather than simply assessing their skills.


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International Association for the Evaluation of Educational Achievement (IEA) cross-national studies (FIMS, SIMS and TIMSS) show that gender differences in mathematical achievements and attitudes have decreased considerably over thirty years (Hanna, 2000), however, mathematics is still historically stereotyped as a male domain with crucial evidence supporting this belief (Forgasz, Leder, & Kloosterman, 2009). Previous research showed that gender differences in mathematics participation,performance and achievement existed widely in the majority of English speaking countries, specifically favouring boys (Forgasz, 1992; Hyde, Fennema, & Lamon, 1990; Tiedemann, 2000). Hyde, Lindberg, Linn, Ellis and Williams (2008) pointed out that the stereotype that females lack mathematical ability persists and is widely held by parents and teachers.Mathematics teaching materials play an important role in mathematics teaching and learning. The contents within mathematical teaching materials are rational, and deliver both explicit and implicit information. The explicit information refers to mathematics knowledge that students can learn from textbooks, while the latter one, also named as hidden curriculum, contains social and cultural messages. Hidden curriculum is a side effect of education. It has deep and long-term influences on students’ construction of math-gender stereotype that impact their future mathematicallearning (Zhang & Zhou, 2008). Therefore, this study will investigate Chinese andAustralian elementary mathematics teaching materials to explore the messages of gender equity and inequity delivered through hidden curriculum including names, images and problem-solving contexts. Based on the findings, practical implications concerning the promotion of equitable gender environments within elementary mathematics teaching materials from a cross-cultural perspective will be discussed.

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This article is a contribution to understanding of teacher actions that can contribute to a successful mathematics learning experience, defined as one that engages all students, especially those who may sometimes feel alienated from mathematics and schooling, in productive and successful mathematical thinking and learning. We offer an example of a task that can form the basis of such a learning experience. The key elements are that the task is open-ended, that the teacher offers specific pedagogical prompts to support student leaning, that the teacher builds a sense of community by ensuring that there are some common experiences, and the teacher prepare prompts that can be used to support students who are experiencing difficulty, or to extend those students who complete the
basic task readily.

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This paper comments on and adapts the screening profile developed from 'ACER Mathematics Profile Series (MAPS): Operations' (1977). A sample screening profile worksheet for 'Operations' is provided. This adaptation of the ACER MAPS Operations test may help teachers identify students who are able to use more advanced levels of mathematical thinking. Survey results may help form ability groups, deliver special needs curriculum materials, and guide students tackling the algebra curriculum.

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Background
Clinicians and policy makers need the ability to predict quantitatively how childhood bodyweight will respond to obesity interventions.

Methods
We developed and validated a mathematical model of childhood energy balance that accounts for healthy growth and development of obesity, and that makes quantitative predictions about weight-management interventions. The model was calibrated to reference body composition data in healthy children and validated by comparing model predictions with data other than those used to build the model.

Findings
The model accurately simulated the changes in body composition and energy expenditure reported in reference data during healthy growth, and predicted increases in energy intake from ages 5—18 years of roughly 1200 kcal per day in boys and 900 kcal per day in girls. Development of childhood obesity necessitated a substantially greater excess energy intake than for development of adult obesity. Furthermore, excess energy intake in overweight and obese children calculated by the model greatly exceeded the typical energy balance calculated on the basis of growth charts. At the population level, the excess weight of US children in 2003—06 was associated with a mean increase in energy intake of roughly 200 kcal per day per child compared with similar children in 1971—74. The model also suggests that therapeutic windows when children can outgrow obesity without losing weight might exist, especially during periods of high growth potential in boys who are not severely obese.

Interpretation
This model quantifies the energy excess underlying obesity and calculates the necessary intervention magnitude to achieve bodyweight change in children. Policy makers and clinicians now have a quantitative technique for understanding the childhood obesity epidemic and planning interventions to control it.

Funding
Intramural Research Program of the National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.

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Little is known about the acquisition of decision-making skills in nursing students as a function of experience and academic ability. Knowing how experience and academic skills interact may help inform clinical education programs and formulate ways of assessing students' progress. The aims of the present study were to develop a problem-solving task capable of measuring clinical decision-making skills in novice nurses at different levels of domain-specific knowledge; and to establish the relative impact on decision-making of domain-specific knowledge and general ability as determinants of the acquisition of decision-making skills. Three types of clinical problems of increasing complexity were developed. Sixty second-year and third-year student nurses with high and low academic scores were studied in terms of their ability to generate hypotheses for a hypothetical case, recognize disconfirming information and the need to access additional information, and diagnostic accuracy. The results showed that general academic ability and knowledge function partly independently in the acquisition of expertise in nursing. Academic ability affects decision-making in low complexity tasks, but as case complexity increases, domain-specific knowledge and experience determines decision-making skills. There are important differences in the way novices with different levels of knowledge and ability make clinical decisions and these can be studied by systematically increasing the complexity of the decision task. These results have implications for the way in which clinical education is structured and evaluated.

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Purpose. This study examined the usefulness of contextual cues in enhancing the accuracy of children's narrative accounts of an occurrence of a repeated event.

Method. Children aged 6 to 7 years took part in the same staged event four times whereby 16 target details varied in each occurrence (e.g. the colour of a cloak varied each time). Three days later, the children's free recall of the final occurrence was elicited. This occurrence was identified in one of two ways. Either it was identified via the temporal term 'last', or else the term 'last' was combined with a feature related to the environmental context or setting that was unique to the occurrence (i.e., the interviewer referred to a new object that was worn throughout the occurrence or a new person who carried out the event). For each condition, performance was compared to that of children who experienced the event only once.

Results. Children's memory of details specific to the target occurrence was better after the single than the repeated event. However for both event types, children who were given the contextual and temporal cue performed better than those who were given the temporal cue only. The benefit of using a contextual cue did not result in an increase in errors.

Conclusion. Contextual cues (generated by an interviewer) can facilitate children's recall of an occurrence of an event. However, further research needs to determine whether this finding would generalize to a more practical situation where the child (rather than the interviewer) generates the cues.

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Universities are using more information and communication technologies (ICT) in their teaching and learning environments. An anonymous multiple-choice survey self-assessed the spreadsheet skills of students enrolled in first-year units at the beginning of 2003. The results of the survey indicate significant deficiencies in the use of spreadsheets. There is a significant proportion of students who are unable to use spreadsheets as part of their education at the start of their university studies. The implications for tertiary education are discussed.

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John Gough once again makes the ordinary fascinating as he piques our curiosity about the origins of the alphabet and turns the various mathematical properties of letters into bases for games.

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We examine a mathematical model of non-destructive testing of planar waveguides, based on numerical solution of a nonlinear integral equation. Such problem is ill-posed, and the method of Tikhonov regularization is applied. To minimize Tikhonov functional, and find the parameters of the waveguide, we use two new optimization methods: the cutting angle method of global optimization, and the discrete gradient method of nonsmooth local optimization. We examine how the noise in the experimental data influences the solution, and how the regularization parameter has to be chosen. We show that even with significant noise in the data, the numerical solution is of high accuracy, and the method can be used to process real experimental da.ta..