37,886 research outputs found

    More Efficient High Schools in Maine: Emerging Student-Centered Learning Communities

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    American K-12 public education all across the nation is at a difficult and critical crossroads. We are at a time when keen global competition underscores the need for exceptional performance in our primary and secondary schools. Yet, state and federal governments face unprecedented budget deficits and limited resources for the foreseeable future. Additionally, our schools are being called upon to do an even better job of preparing students for the 21st century. There is growing evidence that success in the 21st Century requires more than what has traditionally been the content of schooling. It requires more and different types of knowledge, skills, and learning. To help students acquire this knowledge base and skills, many educators and leaders are calling for transformative changes in our schools and changes in how we help students learn. This transformative change is called by many names: performance-based learning, standards-based learning, and student-centered learning. The Nellie Mae Education Foundation (NMEF) describes this transformation to more student-centered learning as the need for:... growing a greater variety of higher quality educational opportunities that enable all learners -- especially and essentially underserved learners -- to obtain the skills, knowledge and supports necessary to become civically engaged, economically self-sufficient lifelong learners. (2011) Can our schools be transformed to meet these challenges? More importantly, can they be high performing, efficient, and student-centered at the same time? To explore these questions, the Center for Education Policy, Applied Research, and Evaluation at the University of Southern Maine conducted a study in 2010-2011 of a sample of Maine high schools. Funded in part by the Nellie Mae Education Foundation, the study examined the degree to which these More Efficient high schools were also student-centered. In 2010, NMEF identified some of the key principles and attributes of studentcentered learning. The principles are that: Student-centered education systems provide all students equal access to the skills and knowledge needed for college and career readiness in today's world. Student-centered education systems align with current research on the learning process and motivation. Student-centered education systems focus on mastery of skills and knowledge. Student-centered education systems build student's identities through a positive culture with a foundation of strong relationships and high expectations. Student-centered education systems empower and support parents, teachers, administrators, and other community members to encourage and guide learners through their educational journey. The key attributes are that: Curriculum, instruction and assessment embrace the skills and knowledge needed for success. Community assets are harnessed to support and deepen learning experiences. Time is used flexibly and includes learning opportunities outside the traditional school day and year. Mastery-based strategies are employed to allow for pacing based on proficiency in skills and knowledge. The goal of the study reported here was to determine to what extent these principles and attributes may be found in the high schools. To that end, once a sample of More Efficient high schools was identified, the beliefs, strategies, and practices found in these schools were examined in light of the 2010 NMEF key principles and attributes

    Modeling student pathways in a physics bachelor's degree program

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    Physics education research has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferences or causal relationships observed in various data sets. This research introduces a modern predictive modeling approach to the PER community using transcript data for students declaring physics majors at Michigan State University (MSU). Using a machine learning model, this analysis demonstrates that students who switch from a physics degree program to an engineering degree program do not take the third semester course in thermodynamics and modern physics, and may take engineering courses while registered as a physics major. Performance in introductory physics and calculus courses, measured by grade as well as a students' declared gender and ethnicity play a much smaller role relative to the other features included the model. These results are used to compare traditional statistical analysis to a more modern modeling approach.Comment: submitted to Physical Review Physics Education Researc

    Some Like It Hot, Some Like It Warm: Phenotyping To Explore Thermotolerance Diversity

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    Plants have evolved overlapping but distinct cellular responses to different aspects of high temperature stress. These responses include basal thermotolerance, short- and long-term acquired thermotolerance, and thermotolerance to moderately high temperatures. This ‘thermotolerance diversity’ means that multiple phenotypic assays are essential for fully describing the functions of genes involved in heat stress responses. A large number of genes with potential roles in heat stress responses have been identified using genetic screens and genome wide expression studies. We examine the range of phenotypic assays that have been used to characterize thermotolerance phenotypes in both Arabidopsis and crop plants. Three major variables differentiate thermotolerance assays: (1) the heat stress regime used, (2) the developmental stage of the plants being studied, and (3) the actual phenotype which is scored. Consideration of these variables will be essential for deepening our understanding of the molecular genetics of plant thermotolerance

    Exciton spin dynamics and photoluminescence polarization of CdSe/CdS dot-in-rod nanocrystals in high magnetic fields

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    The exciton spin dynamics and polarization properties of the related emission are investigated in colloidal CdSe/CdS dot-in-rod (DiR) and spherical core/shell nanocrystal (NC) ensembles by magneto-optical photoluminescence (PL) spectroscopy in magnetic fields up to 15 T. It is shown that the degree of circular polarization (DCP) of the exciton emission induced by the magnetic field is affected by the NC geometry as well as the exciton fine structure and can provide information on nanorod orientation. A theory to describe the circular and linear polarization properties of the NC emission in magnetic field is developed. It takes into account phonon mediated coupling between the exciton fine structure states as well as the dielectric enhancement effect resulting from the anisotropic shell of DiR NCs. This theoretical approach is used to model the experimental results and allows us to explain most of the measured features. The spin dynamics of the dark excitons is investigated in magnetic fields by time-resolved photoluminescence. The results highlight the importance of confined acoustic phonons in the spin relaxation of dark excitons. The bare core surface as well as the core/shell interface give rise to an efficient spin relaxation channel, while the surface of core/shell NCs seems to play only a minor role.Comment: 18 pages, 15 figure

    Input-output relations in biological systems: measurement, information and the Hill equation

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    Biological systems produce outputs in response to variable inputs. Input-output relations tend to follow a few regular patterns. For example, many chemical processes follow the S-shaped Hill equation relation between input concentrations and output concentrations. That Hill equation pattern contradicts the fundamental Michaelis-Menten theory of enzyme kinetics. I use the discrepancy between the expected Michaelis-Menten process of enzyme kinetics and the widely observed Hill equation pattern of biological systems to explore the general properties of biological input-output relations. I start with the various processes that could explain the discrepancy between basic chemistry and biological pattern. I then expand the analysis to consider broader aspects that shape biological input-output relations. Key aspects include the input-output processing by component subsystems and how those components combine to determine the system's overall input-output relations. That aggregate structure often imposes strong regularity on underlying disorder. Aggregation imposes order by dissipating information as it flows through the components of a system. The dissipation of information may be evaluated by the analysis of measurement and precision, explaining why certain common scaling patterns arise so frequently in input-output relations. I discuss how aggregation, measurement and scale provide a framework for understanding the relations between pattern and process. The regularity imposed by those broader structural aspects sets the contours of variation in biology. Thus, biological design will also tend to follow those contours. Natural selection may act primarily to modulate system properties within those broad constraints.Comment: Biology Direct 8:3
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