53 research outputs found

    Expanding the Scope of Teacher Education in an Attempt to Prevent Burnout Contagion

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    Burnout is a significant problem that continues to plague the teaching profession. In this essay, I argue that the burnout of early-career teachers is not solely a function of personal factors (e.g., their knowledge, their beliefs, their pedagogical skills, their commitment to the teaching profession) but also a function of the organizational climates into which these early-career teachers enter. Specifically, burnout can be contagious, and, therefore, I argue that teacher educators must expand the scope of their efforts to include not only educating individual pre-service teachers but also revitalizing the organizational climates present within local schools

    Knots in Thinking and the Problem of Enactment: Exploring the Classroom Thinking of Three Novice Teachers

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    Novice teachers begin their careers with certain instructional ideals; however, in practice, novice teachers tend to enact classroom practices that only partially align with these ideals—a phenomenon referred to as the problem of enactment. This article explores this phenomenon by investigating the classroom thinking of three novice teachers. Using stimulated-recall interviews, these teachers were asked to describe the deliberative decisions they made while teaching and to rate how well these decisions aligned with their instructional ideals. It was found that when novice teachers perceived only partial alignment between their enacted decisions and their instructional ideals, teachers tended to experience simultaneous practical intentions. I argue that, as teacher educators attempt to address the problem of enactment, they must deepen their appreciation for the cognitive challenge of balancing simultaneous practical intentions. The real-time negotiation between multiple goals and concerns can be considered to be a core practice of teaching

    Core Reflection as Self-Fulfilling Prophecy: Implications for Teacher Education

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    In this commentary, I explore a method of teacher reflection developed by Korthagen and colleagues, which they refer to as “core reflection” (Korthagen, Kim, & Green, 2013). Specifically, I have noticed that the process of “core reflection” bears a strong resemblance to self-fulfilling prophecies and other “placebo effects” observed in many medical and psychological studies (Price, Finniss, & Benedetti, 2008). It may be the case that this particular brand of teacher reflection is effective, not because teachers actually possess particular character strengths or virtues (as the method supposes), but because core reflection functions as a self-fulfilling prophecy: i.e., expectations bring forth changes in behavior. If, indeed, core reflection functions in this way, this insight has implications for teacher reflection and teacher education

    Handbook of Research on Advancing Teaching and Teacher Education in the Context of a Virtual Age

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    Nicole Fletcher (with Audrey Meador) is a contributing author, Preparing for an Effective Mathematics Teaching Practice Online: The Case for Virtual Number Talks, Chapter 10 pp. 203-228. The possibilities of the virtual age can provide many valuable resources and opportunities for teachers, preservice teachers, and teacher educators. However, in order to utilize these resources responsibly and productively, the researchers and practitioners of teaching and teacher education must better understand the new potentials and pitfalls related to teaching and learning that are present within the virtual age. The Handbook of Research on Advancing Teaching and Teacher Education in the Context of a Virtual Age focuses on the recent innovations in teaching and teacher educations as well as innovations in the curriculum and pedagogy of teacher education. It deepens discussions related to how teacher education can address educational possibilities within this digital age. Covering topics such as learning material adaptation, teacher talent pipelines, and metaverse, this major reference work is a comprehensive resource for administrators and educators of both K-12 and higher education, teacher educators, pre-service teachers, government officials, librarians, researchers, and academicians.https://digitalcommons.fairfield.edu/education-books/1072/thumbnail.jp

    Aboveground carbon responses to experimental and natural hurricane impacts in a subtropical wet forest in Puerto Rico

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    Climate change and disturbance make it difficult to project long-term patterns of carbon sequestration in tropical forests, but large ecosystem experiments in these forests can inform predictions. The Canopy Trimming Experiment (CTE) manipulates two key components of hurricane disturbance, canopy openness and detritus deposition, in a tropical forest in Puerto Rico. We documented how the CTE and a real hurricane affected tree recruitment, biomass, and aboveground carbon storage over 15 years. In the CTE treatments, we trimmed branches, but we did not fell trees. We expected that during the 14-year period after initial canopy trimming, regrowth of branches and stems and stem recruitment stimulated by increased light and trimmed debris would help restore biomass and carbon loss due to trimming. Compared to control plots, in the trimmed plots recruitment of palms and dicot trees increased markedly after trimming, and stem diameters of standing trees increased. Data showed that recruitment of small trees adds little to aboveground carbon, compared to the amount in large trees. Nevertheless, this response restored pretreatment biomass and carbon in the experimental period. In particular, the experimental additions of trimmed debris on the forest floor seemed to stimulate increase in aboveground carbon. Toward the end of the experimental period, Hurricane Maria (Category 4 hurricane) trimmed and felled some trees but reduced aboveground carbon less in the plots (including untrimmed plots) than experimental trimming had. Thus, it appears that the amount of regrowth recorded after experimental trimming could also restore aboveground carbon in the forest after a severe hurricane in the same time span. However, Hurricane Maria, unlike the trimming treatments, felled large trees, and it may be that with predicted, more frequent severe hurricanes, that the continued loss of large trees would over the long term decrease aboveground carbon stored in this Puerto Rican forest and likewise in other tropical forests affected by cyclonic storms

    Solar radiation and soil moisture drive tropical forest understory responses to experimental and natural hurricanes

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    Tropical forest understory regeneration occurs rapidly after disturbance with compositional trajectories that depend on species availability and environmental conditions. To predict future tropical forest regeneration dynamics, we need a deeper understanding of how pulse disturbance events, like hurricanes, interact with environmental variability to affect understory demography and composition. We examined fern and sapling mortality, recruitment, and community composition in relation to solar radiation and soil moisture using 17 years of forest dynamics data (2003–2019) from the Canopy Trimming Experiment in the Luquillo Experimental Forest, Puerto Rico. Solar radiation increased 150% and soil moisture increased 40% following canopy trimming of experimental plots relative to control plots. All plots were disturbed in 2017 by Hurricanes Irma and Maria, so experimentally trimmed plots presented the opportunity to study the effects of multiple hurricanes, while control plots isolated the effects of a single natural hurricane. Recruitment rates maximized at 0.14 individuals/plot/month for ferns and 0.20 stems/plot/month for saplings. Recruitment and mortality were distributed more evenly over the 17 years of monitoring in experimentally trimmed plots than in control plots; however, following Hurricane Maria demographic rates substantially increased in control plots only. In experimentally trimmed plots, the largest community compositional shifts occurred as a result of the trimming events, and compositional changes were greatest for control plots after Hurricane Maria in 2017. Pioneer tree and fern species increased in abundance in response to both simulated and natural hurricanes. Following Hurricane Maria, two dominant pioneer species, Cyathea arborea and Cecropia schreberiana, recruited abundantly, but only in control plots. In trimmed plots, increased solar radiation and soil moisture shifted understory species composition steadily toward pioneer and secondary-successional species, with soil moisture interacting strongly with canopy trimming. Thus, both solar radiation and soil moisture are environmental drivers affecting pioneer species recruitment following disturbance, which interact with canopy opening following hurricanes. Our results suggest that if hurricane disturbances increase in frequency and severity, as suggested by climate change predictions, the understory regeneration of late-successional species, such as Manilkara bidentata and Sloanea berteroana, which prefer deeper shade and slightly drier soil microsites, may become imperiled

    Multimessenger parameter inference of gravitational-wave and electromagnetic observations of white dwarf binaries

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    The upcoming Laser Interferometer Space Antenna (LISA) will detect a large gravitational-wave foreground of Galactic white dwarf binaries. These sources are exceptional for their probable detection at electromagnetic wavelengths, some long before LISA flies. Studies in both gravitational and electromagnetic waves will yield strong constraints on system parameters not achievable through measurements of one messenger alone. In this work, we present a Bayesian inference pipeline and simulation suite in which we study potential constraints on binaries in a variety of configurations. We show how using LISA detections and parameter estimation can significantly improve constraints on system parameters when used as a prior for the electromagnetic analyses. We also provide rules of thumb for how current measurements will benefit from LISA measurements in the future.Comment: 8 pages, 5 figures, accepted to MNRA

    The SXS Collaboration catalog of binary black hole simulations

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    Accurate models of gravitational waves from merging black holes are necessary for detectors to observe as many events as possible while extracting the maximum science. Near the time of merger, the gravitational waves from merging black holes can be computed only using numerical relativity. In this paper, we present a major update of the Simulating eXtreme Spacetimes (SXS) Collaboration catalog of numerical simulations for merging black holes. The catalog contains 2018 distinct configurations (a factor of 11 increase compared to the 2013 SXS catalog), including 1426 spin-precessing configurations, with mass ratios between 1 and 10, and spin magnitudes up to 0.998. The median length of a waveform in the catalog is 39 cycles of the dominant ℓ=m=2\ell=m=2 gravitational-wave mode, with the shortest waveform containing 7.0 cycles and the longest 351.3 cycles. We discuss improvements such as correcting for moving centers of mass and extended coverage of the parameter space. We also present a thorough analysis of numerical errors, finding typical truncation errors corresponding to a waveform mismatch of ∌10−4\sim 10^{-4}. The simulations provide remnant masses and spins with uncertainties of 0.03% and 0.1% (90th90^{\text{th}} percentile), about an order of magnitude better than analytical models for remnant properties. The full catalog is publicly available at https://www.black-holes.org/waveforms .Comment: 33+18 pages, 13 figures, 4 tables, 2,018 binaries. Catalog metadata in ancillary JSON file. v2: Matches version accepted by CQG. Catalog available at https://www.black-holes.org/waveform

    Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

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    Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record*
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