scholarly journals Funding Special Education by Total District Enrollment: Advantages, Disadvantages, and Policy Considerations

2013 ◽  
Vol 8 (3) ◽  
pp. 316-331 ◽  
Author(s):  
Elizabeth Dhuey ◽  
Stephen Lipscomb

Several states and the federal government distribute aid for special education programs based primarily on total district enrollment and a fixed aid amount per student, a method called census funding. In this policy brief, we address three questions to help policy makers, educators, and researchers better understand census-funding models and special education finance policies in general. The first question is, what are the key advantages and disadvantages of census-funding models? The second and third questions relate to aspects of policy implementation, in the event a state legislature should choose to adopt the approach. First, we examine what options are available to mitigate concerns about the equity of funding under a census funding model. Second, we examine what other options exist for helping states and districts to contain special education costs while maintaining a high level of quality.

Author(s):  
Joanne Banks

Internationally, debates about how students with disabilities are resourced in mainstream education are complex. Spiraling costs have resulted in many funding systems calling for ‘cost control’ or systems of accountability for how funding and resources are distributed. Although inclusive education policies have created closer links between general and ‘special education’, the funding mechanisms underlying these systems still tend to remain administratively separate. The reasons for this are often historical but also relate to the consistently higher cost associated with resourcing students with disabilities compared to their peers in mainstream education. The increase in the number of students with disabilities now means that many countries are struggling to keep these costs within budget while maintaining inclusive education practices. A tension exists between those who think that students with disabilities are under-resourced, with a possible crisis emerging as schools try to cope with the increased demands, and others who argue that inclusive education cannot be achieved by simply increasing funds. The latter group focuses on the quality of leadership and the teaching staff in schools that brings about inclusive practices. The type of funding mechanism is important, and is closely linked to inclusive education. Research shows that the way in which funding and resources are allocated to students with additional needs in mainstream schools can impact the prevalence of students with a disability and inclusive practices in that school. There is little or no consensus on the most inclusive or cost-effective funding model. As a result, reform of existing models continues across different national contexts. This high level of activity is often related to a growing awareness by governments of the financial incentives and disincentives of various funding models, concern over the rising costs of special education, and the need to fulfill policy commitments to inclusive education. Internationally, funding is allocated in various ways. Input funding has traditionally been the most common funding model used, in which students with disabilities or their parents receive individualized funding according to the type of need or level of support required. The increasing prevalence of students with disabilities in mainstream education, associated rising costs of resourcing these students, and the high administrative burden of individual assessment, diagnosis, and support have led to the use of various systems that replace the sole use of input funding in mainstream education. Throughput funding is now the most commonly used funding model and is often used alongside a smaller input system. In the throughput model, block grants are provided to schools or local authorities based on certain weighted characteristics, such as the sociodemographic profile of the school or area. The output funding model, based on student achievement or learner outcomes, is often part of a funding formula in which student achievement is recognized. Each funding model has advantages and disadvantages and all claim to support inclusive education. Often forgotten in this funding debate, however, is the cost and role played by other forms of provision, such as special classes and schools. This is despite an increase in this type of segregated provision in countries with otherwise inclusive education. Critics of the continued use of segregative settings argue that they serve as an escape route for students with disabilities in systems that are struggling to implement inclusive practices in mainstream education.


Author(s):  
Zewen Xu ◽  
Zheng Rong ◽  
Yihong Wu

AbstractIn recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry. Some pioneering work on this technique has expanded the potential of robotic applications. Compared to standard SLAM under the static world assumption, dynamic SLAM divides features into static and dynamic categories and leverages each type of feature properly. Therefore, dynamic SLAM can provide more robust localization for intelligent robots that operate in complex dynamic environments. Additionally, to meet the demands of some high-level tasks, dynamic SLAM can be integrated with multiple object tracking. This article presents a survey on dynamic SLAM from the perspective of feature choices. A discussion of the advantages and disadvantages of different visual features is provided in this article.


Author(s):  
Lichao Xu ◽  
Szu-Yun Lin ◽  
Andrew W. Hlynka ◽  
Hao Lu ◽  
Vineet R. Kamat ◽  
...  

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.


2021 ◽  
pp. 1-17
Author(s):  
N.I. Fisher ◽  
D.J. Trewin

Given the high level of global mobility, pandemics are likely to be more frequent, and with potentially devastating consequences for our way of life. With COVID-19, Australia is in relatively better shape than most other countries and is generally regarded as having managed the pandemic well. That said, we believe there is a critical need to start the process of learning from this pandemic to improve the quantitative information and related advice provided to policy makers. A dispassionate assessment of Australia’s health and economic response to the COVID-19 pandemic reveals some important inadequacies in the data, statistical analysis and interpretation used to guide Australia’s preparations and actions. For example, one key shortcoming has been the lack of data to obtain an early understanding of the extent of asymptomatic and mildly symptomatic cases or the differences across age groups, occupations or ethnic groups. Minimising the combined health, social and economic impacts of a novel virus depends critically on ongoing acquisition, integration, analysis, interpretation and presentation of a variety of data streams to inform the development, execution and monitoring of appropriate strategies. The article captures the essential quantitative components of such an approach for each of the four basic phases, from initial detection to post-pandemic. It also outlines the critical steps in each stage to enable policy makers to deal more efficiently and effectively with future such events, thus enhancing both the social and the economic welfare of its people. Although written in an Australian context, we believe most elements would apply to other countries as well.


Author(s):  
Olayinka Stephen Ilesanmi ◽  
Priscilla Onaopemipo Akosile ◽  
Aanuoluwapo Adeyimika Afolabi ◽  
Victor Okoliko Ukwenya

Abstract Background This study aimed to assess the level of trust in the COVID-19 risk communication efforts in Nigeria. Methods We conducted a descriptive cross-sectional study among community members aged 15 years and above in Ondo state in October, 2020. Data were collected using an interviewer-administered questionnaire. Data were analyzed using SPSS version 22. Descriptive statistics were summarized using frequencies. Trust was ranked from “1” implying “Low level of trust” to “7” denoting “High level of trust”. We conducted bivariate Chi-square test on respondents’ level of trust in the Nigeria Centre for Disease Control (NCDC) and socio-demographic characteristics. The level of significance was set at p<0.05. Results Among the 691 respondents, 244 (35.3%) were aged 21 to 29 years, and 304 (51.4%) used the NCDC to obtain COVID-19 knowledge. Overall, 205 (41.8%) had high level of trust in the NCDC. Furthermore, 51 (51.5%) individuals aged 30-39 years had high level of trust in the NCDC (ᵡ2=17.455, p= 0.001). Also, 114 (48.5%) persons who lived with children below 18 years had high level of trust in the NCDC (ᵡ2= 8.266, p= 0.004). Conclusion Policy makers should prioritize the involvement of young and educated persons in COVID-19 risk communication strategies.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.


2009 ◽  
Vol 9 (4) ◽  
pp. 14-40 ◽  
Author(s):  
Frank Biermann ◽  
Philipp Pattberg ◽  
Harro van Asselt ◽  
Fariborz Zelli

Most research on global governance has focused either on theoretical accounts of the overall phenomenon or on empirical studies of distinct institutions that serve to solve particular governance challenges. In this article we analyze instead “governance architectures,” defined as the overarching system of public and private institutions, principles, norms, regulations, decision-making procedures and organizations that are valid or active in a given issue area of world politics. We focus on one aspect that is turning into a major source of concern for scholars and policy-makers alike: the “fragmentation” of governance architectures in important policy domains. The article offers a typology of different degrees of fragmentation, which we describe as synergistic, cooperative, and conflictive fragmentation. We then systematically assess alternative hypotheses over the relative advantages and disadvantages of different degrees of fragmentation. We argue that moderate degrees of fragmentation may entail both significant costs and benefits, while higher degrees of fragmentation are likely to decrease the overall performance of a governance architecture. The article concludes with policy options on how high degrees of fragmentation could be reduced. Fragmentation is prevalent in particular in the current governance of climate change, which we have hence chosen as illustration for our discussion.


Author(s):  
Celso K. Morooka ◽  
Raphael I. Tsukada ◽  
Dustin M. Brandt

Subsea equipment such as the drilling riser and the subsea Blow-Out Preventer (BOP) are mandatory in traditional systems used in deep sea drilling for ocean floor research and petroleum wellbore construction. The drilling riser is the vertical steel pipe that transfers and guides the drill column and attached drilling bit into a wellbore at the sea bottom. The BOP is used to protect the wellbore against uncontrolled well pressures during the offshore drilling operation. Presently, there is a high level of drilling activity worldwide and in particular in deeper and ultra-deeper waters. This shift in depth necessitates not only faster drilling systems but drilling rigs upgraded with a capacity to drill in the deep water. In this scenario, two general drilling systems are today considered as alternatives: the traditional system with the subsea BOP and the alternate system with the surface BOP. In the present paper, the two systems are initially described in detail, and a numerical simulation in time domain to estimate the system behavior is presented. Simulations of a floating drilling rig coupled with the subsea and surface BOP in waves and current are carried out for a comparison between the two methods. Results are shown for riser and BOP displacements. Critical riser issues for the systems are discussed, comparing results from both drilling system calculations. Conclusions are addressed showing advantages and disadvantages of each drilling system, and indicating how to correct the problems detected on each system.


2017 ◽  
Vol 7 (1) ◽  
pp. 34 ◽  
Author(s):  
Abdulrazag Mohamed Etelawi ◽  
Keith A. Blatner ◽  
Jill McCluskey

There is a strong need to study sustainability and depletion accounting of oil in the Libyan economy because oil production and export is the single largest source of national income in the country. This study covers the time period from 1990 to 2009. Throughout this period, the Libyan national economy used its oil and petroleum industries to increase national income. Development sustainability can be defined as investment divided by GDP. This measure provides an indication of the low level of sustainable development in Libya over the period of analysis, which is 0.38 on average. It is important that the Libyan government develop and implement plans and strategies for achieving sustainability and the maintenance of oil resources.Carbon dioxide emissions provide another indication of the presence or absence of sustainability. The ratio of carbon dioxide ranged from a minimum of 8.50 metric tons per capita in 1990 to 10.00 metric tons per capita in 2009 and average 9.07 metric tons per capita over the course of the study period. CO2 emissions were also much higher than other countries in the Middle East and North Africa. This suggests there was relatively little interest in the sustainable development of the Libyan economy during this period. The Environment Domestic Product (EDP) increased sharply from the beginning of the study at $24.23 billion in 1991 to $45.87 billion in 2009 in constant dollars. Again, one can infer that policy makers did not consider the depletion of oil resources and the environment in their planning process, or at least did not place a high level of concern on this issue.


2020 ◽  
Author(s):  
R. Roberto Cazzolla Gatti ◽  
Alena Velichevskaya

AbstractA national-scale study in Italy showed an incidence of cancer higher in the territories indicated as highly polluted compared to the regional average. One of them, the city of Taranto in Apulia (Italy), which is considered one of the most polluted cities in Europe, has numerous industrial activities that impact population health. We studied the epidemiological effects of a high level of pollution produced by the industrial area of Taranto in increasing the mortality rate for some specific cancer types in the city and towns of the two provinces located downwind. We analysed 10-year mortality rates for 14 major types of tumours reported among the residents of Taranto, of 6 surrounding towns, randomly placed within an imaginary cone in the main wind direction from the vertex of the industrial zone of Taranto. Our results confirm our hypothesis that the mortality rate for some specific types of cancer (namely, Hodgkin and non-Hodgkin lymphomas, leukaemia, liver and bladder tumours) are higher than the norm in the municipality of Taranto and we have evidence that other local causes may be implicated in the excess of mortality besides the potential dispersal of pollutants from the industrial area of Taranto. The proximity to the industrial area of Taranto cannot, therefore, explain alone the anomalies detected in some populations. It is likely that other site-specific sources of heavy pollution are playing a role in worsening the death toll of these towns and this must be taken into serious consideration by environmental policy-makers and local authorities.


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