Alternative Education: A Continued Examination of How States Are Addressing Alternative Education in Their Schools

In an attempt to understand the current preparation level of Arkansas for the Leave No Child Left Behind Act (NCLB) of 2002, the current project conducts a preliminary literature and web search to record what other states have done and are doing to prepare for NCLB. A brief synopsis of the history of alternative policies is also included. Results indicate that of the twelve states examined, most states are following a similar pattern with regard to preparing for their “at risk” students and passing similar alternative education policies. Three common characteristics found across the states: defining what alternative education is and who it provides for, legislation providing for each state’s plan, and finally a discussion of the various funding methods

What Does the NAEP Tell Us About Student Achievement in Arkansas?

This brief discusses the most recent and historical NAEP data in math, science, reading, and writing. Arkansas’ NAEP results are compared to national and border state averages. Based on the most recent NAEP exams, Arkansas is performing slightly below the national average in reading, math, science, and writing. There is also data to support that Arkansas students perform less well in Grade 8 than in Grade 4 when compared to the national and border state averages. Arkansas, however, is among the highest performing states with regard to change over the last decade. Since 1992, Arkansas has gained on the national and border state averages. In addition, Arkansas’ black-white and Hispanic-white achievement gaps in reading and math are lower than over half of participating states

Does Size Matter? School Consolidation Policy Issues in Arkansas

Providing a reasonable education for all students in Arkansas is a legal responsibility explicitly mandated by the state’s constitution. Consistent with the long-standing American tradition of “grassroots” control of education, public schools in all states are funded and managed first and foremost at the local level. The federal government can and does enact legislation with which schools must conform. Directly or indirectly, federal mandates provide significant amounts of monies to support particular types of school services and programming. But ultimate responsibility for financing and operating schools devolves on state government. In Arkansas, it has been held, the state must provide “a general, suitable, and efficient system of free public schools” (Lakeview v. Huckabee, 2001)

Superintendents Speak Out: A Survey of Superintendents’ Opinions Regarding Recent School Reforms in Arkansas

In an effort to improve educational opportunities for all students, Arkansas policymakers have made education reforms in many areas since 2003, such as increasing school funding by nearly 30 percent, consolidating both districts with enrollments below 350 students and inefficient schools, and strengthening accountability measures designed to raise academic achievement. However, there is little empirical evidence about how any of these reforms have impacted districts, schools, and students across the state, so policymakers have no way of knowing whether such reforms have the potential to improve student achievement and help close the achievement gap between disadvantaged students and their more privileged peers

AYP in Arkansas: Who’s on Track?

How “good” are the schools in Arkansas? Under the federal No Child Left Behind (NCLB) Act of 2001, the current measure of a school’s success in Arkansas and around the country is based on whether its students meet the adequate yearly progress (AYP) benchmark on annual standardized tests. Those schools not making AYP are placed on the list of schools “in need of improvement” and therefore must give expanded educational choice (including school transfers and/or free tutoring) to eligible students. In contrast, schools that do not appear on the list are typically regarded as “successful” schools. This paper provides an overview of the AYP standard under NCLB, describes the various subgroups held accountable for making AYP, and analyzes the types of schools and subgroups in Arkansas that are failing to meet AYP

The State of Education in Arkansas 2008: How Much Are Arkansas Schools Spending?

Over the last half century, more than forty states across the nation have experienced school finance lawsuits as a consequence of funding gaps between rich and poor districts. Arkansas is one such state, with a long history of school funding battles in the courts. The legal challenges began in 1983, when the Arkansas Supreme Court initially found the state\u27s school funding system unconstitutional under the equal protection clause of the state constitution1 . The court found “no legitimate state purpose” and “no rational relationship to educational needs” in the state\u27s method of financing public schools. This initial finding set the course of education policymaking in Arkansas ever since

Dollars for Sense: Assessing Achievement Gaps in Arkansas in the Context of Substantial Funding Increases

Over the last half century, more than forty states across the nation have experienced school finance lawsuits as a consequence of perceived and real funding gaps between rich and poor districts (Rebell, 2001). Arkansas is one such state, with a long history of school funding battles in the courts. The legal challenges began in 1983, when the Arkansas Supreme Court initially found the state\u27s school funding system unconstitutional under the equal protection clause of the state constitution

States for phase estimation in quantum interferometry

Ramsey interferometry allows the estimation of the phase $\phi$ of rotation of the pseudospin vector of an ensemble of two-state quantum systems. For $\phi$ small, the noise-to-signal ratio scales as the spin-squeezing parameter $\xi$, with $\xi<1$ possible for an entangled ensemble. However states with minimum $\xi$ are not optimal for single-shot measurements of an arbitrary phase. We define a phase-squeezing parameter, $\zeta$, which is an appropriate figure-of-merit for this case. We show that (unlike the states that minimize $\xi$), the states that minimize $\zeta$ can be created by evolving an unentangled state (coherent spin state) by the well-known 2-axis counter-twisting Hamiltonian. We analyse these and other states (for example the maximally entangled state, analogous to the optical "NOON" state $|\psi> = (|N,0>+|0,N>)/\sqrt{2}$) using several different properties, including $\xi$, $\zeta$, the coefficients in the pseudo angular momentum basis (in the three primary directions) and the angular Wigner function $W(\theta,\phi)$. Finally we discuss the experimental options for creating phase squeezed states and doing single-shot phase estimation.Comment: 8 pages and 5 figure

Conditional müller cell ablation causes independent neuronal and vascular pathologies in a novel transgenic model

Müller cells are the major glia of the retina that serve numerous functions essential to retinal homeostasis, yet the contribution of Müller glial dysfunction to retinal diseases remains largely unknown. We have developed a transgenic model using a portion of the regulatory region of the retinaldehyde binding protein 1 gene for conditional Müller cell ablation and the consequences of primary Müller cell dysfunction have been studied in adult mice. We found that selective ablation of Müller cells led to photoreceptor apoptosis, vascular telangiectasis, blood-retinal barrier breakdown and, later, intraretinal neovascularization. These changes were accompanied by impaired retinal function and an imbalance between vascular endothelial growth factor-A (VEGF-A) and pigment epithelium-derived factor. Intravitreal injection of ciliary neurotrophic factor inhibited photoreceptor injury but had no effect on the vasculopathy. Conversely, inhibition of VEGF-A activity attenuated vascular leak but did not protect photoreceptors. Our findings show that Müller glial deficiency may be an important upstream cause of retinal neuronal and vascular pathologies in retinal diseases. Combined neuropro-tective and anti-angiogenic therapies may be required to treat Müller cell deficiency in retinal diseases and in other parts of the CNS associated with glial dysfunction

Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

Mycotoxin contamination of corn is a pervasive problem that negatively impacts human and animal health and causes economic losses to the agricultural industry worldwide. Historical aflatoxin (AFL) and fumonisin (FUM) mycotoxin contamination data of corn, daily weather data, satellite data, dynamic geospatial soil properties, and land usage parameters were modeled to identify factors significantly contributing to the outbreaks of mycotoxin contamination of corn grown in Illinois (IL), AFL &gt;20 ppb, and FUM &gt;5 ppm. Two methods were used: a gradient boosting machine (GBM) and a neural network (NN). Both the GBM and NN models were dynamic at a state-county geospatial level because they used GPS coordinates of the counties linked to soil properties. GBM identified temperature and precipitation prior to sowing as significant influential factors contributing to high AFL and FUM contamination. AFL-GBM showed that a higher aflatoxin risk index (ARI) in January, March, July, and November led to higher AFL contamination in the southern regions of IL. Higher values of corn-specific normalized difference vegetation index (NDVI) in July led to lower AFL contamination in Central and Southern IL, while higher wheat-specific NDVI values in February led to higher AFL. FUM-GBM showed that temperature in July and October, precipitation in February, and NDVI values in March are positively correlated with high contamination throughout IL. Furthermore, the dynamic geospatial models showed that soil characteristics were correlated with AFL and FUM contamination. Greater calcium carbonate content in soil was negatively correlated with AFL contamination, which was noticeable in Southern IL. Greater soil moisture and available water-holding capacity throughout Southern IL were positively correlated with high FUM contamination. The higher clay percentage in the northeastern areas of IL negatively correlated with FUM contamination. NN models showed high class-specific performance for 1-year predictive validation for AFL (73%) and FUM (85%), highlighting their accuracy for annual mycotoxin prediction. Our models revealed that soil, NDVI, year-specific weekly average precipitation, and temperature were the most important factors that correlated with mycotoxin contamination. These findings serve as reliable guidelines for future modeling efforts to identify novel data inputs for the prediction of AFL and FUM outbreaks and potential farm-level management practices