Educator Perceptions Of Social-Emotional Learning Embedded In Academic Instruction To Improve Student Outcomes

Society, parenting, and public education have changed drastically over the past several decades. As a result, public schools recognize the need to address student social and emotional learning (SEL) in addition to their academic growth. Although there is abundant research into the benefits of SEL and various methods for delivering SEL instruction, there is a dearth of research studying teacher perceptions and understandings of SEL embedded in academic instruction. The purpose of this study was to explore teacher perceptions of social-emotional learning (SEL) during academic instruction. This phenomenological study’s research questions were (a) How do teachers’ past experiences and training with embedding social-emotional learning in academic instruction inform their approach to teaching? and (b) How and to what extent do teachers perceive they are addressing their students’ social-emotional needs during academic instruction? Six teachers from a kindergarten to fourth grade public school participated in this study. Data was collected via an SEL survey, semi-structured interviews, and classroom observations. Participants had a general understanding of SEL and focused their related work with students around the SEL competency of relationship skills. Each of the six participants relied on the stand-alone SEL program, Second Step, as the sole way of addressing the five SEL competencies with their students. There was little to no evidence of participants purposefully having students apply these competencies within academic settings. The researcher noted that participants addressed student emotions and relationships across their school day, but did not embed social and emotional skill instruction, practice, or application within academic content instruction. All school districts must critically examine how they have implemented SEL and provide ongoing, targeted professional development to staff related to the five SEL competencies and embedding SEL within academic instruction. There is a need for future research into how teachers’ own social emotional development and SEL training impacts their ability to deliver meaningful, embedded SEL instruction to their student during academic instruction. Further investigation is also needed to determine to what extent a teacher’s inclusion of SEL during academic instruction improves academic performance for students compared to classrooms where SEL is provided only via a stand-alone program

Associations between Sociodemographics and Pediatric Osteosarcoma Characteristics

https://openworks.mdanderson.org/sumexp23/1022/thumbnail.jp

Applications of Perpendicular-To-Grain Compression Behavior in Real Wood Construction Assemblies

Compression perpendicular to grain (C┴) of wood is an important property and has a drastic effect on serviceability of the structure. Typical C┴ loading scenarios include the bottom chord of a truss resting on the top plate of a shear wall and chords of a shear wall resting on the bottom plate. Present design values for C┴ are based on stress at 1-mm deflection for an ASTM block test. However, in real applications, loading conditions and deflection limits are much different from that administered during the test. There is a need to characterize C┴ behavior of wood in construction applications and compare it with current design codes. This study addresses that by testing two different assemblies involving C┴ loading, each with two different species of wood, to quantify the design C┴ based on the desired application and compare it with current design codes. Also, the effect of species and aspect ratio of assembly was characterized. Results suggested that the ASTM values significantly differ from the assembly values. Species of wood did not have any effect on the performance of the assemblies. A 2% strain offset method was proposed to determine allowable value for C┴ for a desired application. Adjustment factors based on loading configurations were suggested for calculation of design values

A REPEATED MEASURES ANALYSIS OF THE EFFECT OF VEGETATIVE BUFFERS ON CONTAMINANT RUNOFF FROM BERMUDAGRASS TURF

A repeated measures analysis was conducted on a set of data from a multi-year study to assess the effect of vegetative buffers on the surface runoff of selected herbicides and nutrients. Multiplicative models describing the observed behavior of runoff concentration over time for buffered and non-buffered plots were fitted on a log-transformed scale using linear mixed models with PROC MIXED in PC SAS version 6.11. A spatial power covariance structure was used. Additional models for contaminant mass flow rates were fitted to evaluate the effect of buffers on total runoff mass

Bioaccessibility Tests Accurately Estimate Bioavailability Of Lead To Quail

Hazards of soil-borne lead (Pb) to wild birds may be more accurately quantified if the bioavailability of that Pb is known. To better understand the bioavailability of Pb to birds, the authors measured blood Pb concentrations in Japanese quail (Coturnix japonica) fed diets containing Pb-contaminated soils. Relative bioavailabilities were expressed by comparison with blood Pb concentrations in quail fed a Pb acetate reference diet. Diets containing soil from 5 Pb-contaminated Superfund sites had relative bioavailabilities from 33% to 63%, with a mean of approximately 50%. Treatment of 2 of the soils with phosphorus (P) significantly reduced the bioavailability of Pb. Bioaccessibility of Pb in the test soils was then measured in 6 in vitro tests and regressed on bioavailability: the relative bioavailability leaching procedure at pH 1.5, the same test conducted at pH 2.5, the Ohio State University in vitro gastrointestinal method, the urban soil bioaccessible lead test, the modified physiologically based extraction test, and the waterfowl physiologically based extraction test. All regressions had positive slopes. Based on criteria of slope and coefficient of determination, the relative bioavailability leaching procedure at pH 2.5 and Ohio State University in vitro gastrointestinal tests performed very well. Speciation by X-ray absorption spectroscopy demonstrated that, on average, most of the Pb in the sampled soils was sorbed to minerals (30%), bound to organic matter (24%), or present as Pb sulfate (18%). Additional Pb was associated with P (chloropyromorphite, hydroxypyromorphite, and tertiary Pb phosphate) and with Pb carbonates, leadhillite (a lead sulfate carbonate hydroxide), and Pb sulfide. The formation of chloropyromorphite reduced the bioavailability of Pb, and the amendment of Pb-contaminated soils with P may be a thermodynamically favored means to sequester Pb

Measuring the spin of the primary black hole in OJ287

The compact binary system in OJ287 is modelled to contain a spinning primary black hole with an accretion disk and a non-spinning secondary black hole. Using Post Newtonian (PN) accurate equations that include 2.5PN accurate non-spinning contributions, the leading order general relativistic and classical spin-orbit terms, the orbit of the binary black hole in OJ287 is calculated and as expected it depends on the spin of the primary black hole. Using the orbital solution, the specific times when the orbit of the secondary crosses the accretion disk of the primary are evaluated such that the record of observed outbursts from 1913 up to 2007 is reproduced. The timings of the outbursts are quite sensitive to the spin value. In order to reproduce all the known outbursts, including a newly discovered one in 1957, the Kerr parameter of the primary has to be $0.28 \pm 0.08$. The quadrupole-moment contributions to the equations of motion allow us to constrain the `no-hair' parameter to be $1.0\:\pm\:0.3$ where 0.3 is the one sigma error. This supports the `black hole no-hair theorem' within the achievable precision. It should be possible to test the present estimate in 2015 when the next outburst is due. The timing of the 2015 outburst is a strong function of the spin: if the spin is 0.36 of the maximal value allowed in general relativity, the outburst begins in early November 2015, while the same event starts in the end of January 2016 if the spin is 0.2Comment: 12 pages, 6 figure

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies

Pandemic influenza has the epidemic potential to kill millions of people. While various preventive measures exist (i.a., vaccination and school closures), deciding on strategies that lead to their most effective and efficient use remains challenging. To this end, individual-based epidemiological models are essential to assist decision makers in determining the best strategy to curb epidemic spread. However, individual-based models are computationally intensive and it is therefore pivotal to identify the optimal strategy using a minimal amount of model evaluations. Additionally, as epidemiological modeling experiments need to be planned, a computational budget needs to be specified a priori. Consequently, we present a new sampling technique to optimize the evaluation of preventive strategies using fixed budget best-arm identification algorithms. We use epidemiological modeling theory to derive knowledge about the reward distribution which we exploit using Bayesian best-arm identification algorithms (i.e., Top-two Thompson sampling and BayesGap). We evaluate these algorithms in a realistic experimental setting and demonstrate that it is possible to identify the optimal strategy using only a limited number of model evaluations, i.e., 2-to-3 times faster compared to the uniform sampling method, the predominant technique used for epidemiological decision making in the literature. Finally, we contribute and evaluate a statistic for Top-two Thompson sampling to inform the decision makers about the confidence of an arm recommendation