498 research outputs found

    Eighth Grade Students' Understandings of Groundwater

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    According to national standards, eighth graders should possess appropriate understandings regarding groundwater and its role in the hydrologic cycle. This article describes a study of eighth-grade students to determine what types of ideas eighth graders actually possess regarding groundwater. The students completed a survey that consisted of one multiple-choice item and a drawing prompt. The results of this survey, along with videotaped class discussions about goundwater, revealed that students of this age group hold naive conceptions concerning groundwater. In addition, the students' spatial reasoning was identified as contributing to their conceptions. Educational levels: Graduate or professional, Graduate or professional

    Students' Conceptions of Scale Regarding Groundwater

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    This study involved surveying three groups of students regarding their ideas about the structure, scale, and percieved importance of groundwater. The survey results show that many participants selected sizes of groundwater structures that mirrored surface analogs; however, some students applied scales on the order of houses and skyscrapers to typical pore and crack structures. The authors' research indicates that students bring to the classroom many misconceptions that are well-positioned to interfere with their understanding of hydrogeologic principles. Educational levels: Graduate or professional

    Students\u27 Perspectives of NGO Service-Learning Experiences: A Case Study of Operation Smile

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    Past research demonstrated both strong and questionable benefits to students participating in domestic service-learning. However, we know little about high school and college students\u27 perspectives of service-learning while working with nonprofit, non-governmental (NGO) agencies that serve international populations. This qualitative, exploratory study aims to determine how students perceive their lives are impacted as a result of their service-learning experiences at Operation Smile. Data were collected from two focus groups comprised of high school and university youth. Results indicated service-learning in an international setting positively influences areas of personal growth, career choice, and future philanthropic participation. It also affects level of family, peer, and community member involvement in the NGO; and aids local target populations in developing countries. In addition to safety concerns, students mentioned difficulty in adapting after the experience as well as feelings of isolation from peers

    Use of Dynamic Visualizations for Engineering Technology, Industrial Technology, and Science Education Students: Implications on Ability to Correctly Create a Sectional View Sketch

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    Spatial abilities, specifically visualization, play a significant role in the achievement in a wide array of professions including, but not limited to, engineering, technical, mathematical, and scientific professions. However, there is little correlation between the advantages of spatial ability as measured through the creation of a sectional-view sketch between engineering technology, industrial technology, and science education students. A causal-comparative study was selected as a means to perform the comparative analysis of spatial visualization ability. This study was done to determine the existence of statistically significant difference between engineering technology, industrial technology, and science education students’ ability to correctly create a sectional-view sketch of the presented object. No difference was found among the sketching abilities of students who had an engineering technology, industrial technology, or science education background. The results of the study have revealed some interesting results. © 2016, Virginia Polytechnic Institute. All rights reserved

    The development of contour processing: evidence from physiology and psychophysics

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    Object perception and pattern vision depend fundamentally upon the extraction of contours from the visual environment. In adulthood, contour or edge-level processing is supported by the Gestalt heuristics of proximity, collinearity, and closure. Less is known, however, about the developmental trajectory of contour detection and contour integration. Within the physiology of the visual system, long-range horizontal connections in V1 and V2 are the likely candidates for implementing these heuristics. While post-mortem anatomical studies of human infants suggest that horizontal interconnections reach maturity by the second year of life, psychophysical research with infants and children suggests a considerably more protracted development. In the present review, data from infancy to adulthood will be discussed in order to track the development of contour detection and integration. The goal of this review is thus to integrate the development of contour detection and integration with research regarding the development of underlying neural circuitry. We conclude that the ontogeny of this system is best characterized as a developmentally extended period of associative acquisition whereby horizontal connectivity becomes functional over longer and longer distances, thus becoming able to effectively integrate over greater spans of visual space

    Observations of the Mating habits and Attack Pattern of Trypodendron retusum (Coleoptera: Curculionidae: Scolytinae) on Populus grandidentata in Central Michigan

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    Trypodendron retusum Leconte attack pattern on Populus grandidentata Michx. (Big Tooth Aspen) was studied. Mating habits of males and females involved copulation at the entrance hole bored by the female. Attack (entrance )holes averaged 15.9 cm. apart and were found to be uniformly spaced on the bark surface. Attack density was greater on standing trees than wind-thrown trees. On standing trees attack density appeared to be a function of the height rather than the diameter of the tree

    Enabling Multidisciplinary Perspective in Student Design Project: Fast Fashion and Sustainable Manufacturing Systems

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    Fast fashion retailers are growing faster than any other type of retailer due to their ability to offer trendy low-cost clothing mimicking latest runway trends with turnaround times as low as two weeks. Fueled by short production and distribution lead times, fast fashion retailers combine rapid prototyping, small batches of fashionable product designs, and efficient transportations and delivery. Among others, the methods applied in fast-fashion industry include mass customization and personalization, and lean manufacturing. Current trends in manufacturing lean towards the application of digital and rapid manufacturing methods and increased use of product lifecycle management, knowledge management systems and computer integrated manufacturing. Furthermore, modern fashion systems span geographical regions, wherein design and manufacturing is not necessarily done at the same location and it requires coordination of many pairs of hands and machines, followed by multiple processes and treatments to meet the demands of ever decreasing time-to-market. Hence, there are connections that can be used as a benefit for multidisciplinary student projects which would include fashion merchandising students and engineering students. Therefore, the purpose of this paper is to present a model of a project which would include a team of students with diverse backgrounds and experiences in fashion, engineering, and industrial technology in order to examine various manufacturing system concepts that can be used to enhance the sustainability of fast-fashion systems. These activities would be embedded in their current courses and they would expose engineering students to a fashion manufacturing industry and fashion students to engineering concepts of product lifecycle management and computer aided manufacturing. Special emphasis would be given to female engineering students who are not necessarily exposed to this kind of industry in their major

    Addressing Urban High-Poverty School Teacher Attrition by Addressing Urban High Poverty School Teacher Retention: Why Effective Teachers Perservere

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    Recruiting and retaining quality teachers specific for high-poverty schools in urban areas is a national concern, especially in light of the No Child Left Behind federal legislation. The educational realities, detrimental effects of poverty, and human despair that often depress low-income communities can prove to be quite overpowering for many teachers new to the profession and significantly contribute to high levels of teacher absenteeism, attrition rates, and teacher shortages. Examining this issue through a new lens, that being through the eyes of effective urban high-poverty school educators, has the potential to spark spirited conversations and debates among policy makers and educators alike so that significant polices and efforts can be developed and implemented. Therefore, the intent of this study was to develop a profile of high-quality educators who remain in urban high-poverty schools within a large metropolitan school district, and identify the indicators that influence them to remain. The results indicated that teachers who are African American, older, and more experienced define the profile of teachers most likely to remain beyond the first three years in this demanding setting. Additionally, these teachers reported that they remain because they believe they are well suited for teaching in high-poverty schools. Unless more attention is given to teacher retention, and why some educators are successful and persevere in even the most hard-to-staff schools, teacher attrition will continue to be a national concern

    Two Decades of Huntington Disease Testing: Patient’s Demographics and Reproductive Choices

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    Predictive testing for Huntington disease (HD) has been available in the United States (US) since 1987, and the Indiana University Predictive Testing Program has been providing this testing since 1990. To date there has been no published description of those who present for such testing in the US. Here we describe demographics of 141 individuals and reproductive decision making of a subset of 16 of those individuals who underwent predictive HD testing between 1990 and 2010 at one site in the US. This study is a retrospective chart review of the “Personal History Questionnaire” participants completed prior to testing. As seen in other studies, most participants were female (64.5 %), in their mid-30s (mean = 34), and had at least one child prior to testing (54 %). Multiple demographic datum points are described, and the reproductive decision making of these at-risk individuals was analyzed using Fisher’s Exact Tests. Of those women who had children before learning of their risk to inherit HD, those who attended church more frequently, had three or more children total, or whose mother was affected with HD were more likely to be comfortable with their choice to have children. We conclude that these demographic factors influence the reproductive decision-making of individuals at risk for HD. Psychologists, clinical geneticists, and genetic counselors may be able to use this information to help counsel at-risk patients regarding current or past reproductive decision making

    Assessing and predicting adolescent and early adulthood common mental disorders using electronic primary care data:analysis of a prospective cohort study (ALSPAC) in Southwest England

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    OBJECTIVES: We aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data. DESIGN AND SETTING: Prospective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records. PARTICIPANTS: Primary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data. OUTCOME MEASURES: ALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples. RESULTS: Sensitivities for primary care diagnoses were low for CMDs (range: 3.5%–19.1%) and depression (range: 1.6%–34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: −1.3 to 12.6%), but improved with age. CONCLUSIONS: Primary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data
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