18,871 research outputs found

    Activities for Differentiated Instruction Addressing All Levels of Bloom\u27s Taxonomy and Eight Multiple Intelligences

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    This manuscript contains 13 curriculum units designed to enhance differentiated instruction for learners with special needs from grades 1-12, including gifted students. It integrates Benjamin S. Bloom\u27s levels of cognitive understanding with Howard Gardner\u27s eight domains of intelligence to provide a framework for individualized instruction. Each unit has activities for the eight multiple intelligences (logical-mathematical intelligence, linguistic intelligence, bodily-kinesthetic intelligence, spatial intelligence, musical intelligence, interpersonal intelligence, intrapersonal intelligence, and naturalistic intelligence) at each of Bloom\u27s taxonomic levels: knowledge, comprehension, application, analysis, synthesis, and evaluation. The manuscript begins by explaining Bloom\u27s and Gardner\u27s contributions to educational research in the area of differentiated instruction, and then provides the following curriculum units: (1) Solar System (Jeff Hendrickson and Renee Hendrickson); (2) Energy (Chris Hiroto); (3) Antarctica (Amy La Jocies); (4) Author Study of Chris Van Allsburg (Linda Hurley Lord); (5) Omnipotent Oceans (Sheri Marshall); (6) Starting a Home Business (Vicki L. Malan); (7) Fractions (Denise C. Moriarty); (8) Whole Numbers and Decimals (Denise C. Moriarty); (9) Geometry (Denise C. Moriarty); (10) Ancient Egypt (Audrey C. Rule); (11) Energy (Cynthia Rust); (12) Garden Plants (Amy Smith); and (13) Rain Forests (Jaime Watson). (Contains 11 references.) (CR

    Reasonable Remedies and (or) the Exclusionary Rule

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    Kenneth W. Starr and Audrey L. Maness’s article Reasonable Remedies and the Exclusionary Rule examines the role of the exclusionary rule as a remedy for Fourth Amendment violations, asking whether more flexible or “reasonable” remedies might better serve constitutional values without the full costs that suppression imposes. They trace the doctrinal evolution of the exclusionary rule, including its justification in deterrence, the limitations courts have placed on it (such as in Herring), and the challenges courts face in administering a doctrine that hinges on officers’ mental state. The authors explore alternative remedial frameworks — including civil liability and structural reform — that could complement or partially substitute for suppression in cases where the exclusionary rule may be over- or under-inclusive. They argue that doctrinal coherence demands clearer criteria for when the exclusionary rule should apply versus when alternative remedies suffice. In closing, Starr and Maness call for a recalibration of remedial doctrine so that the exclusionary rule remains a tool of last resort, rather than the default response, in protecting Fourth Amendment rights

    Identification of Evolving Rule-based Models.

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    An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning. The rule-base evolves by adding more informative rules than those that previously formed the model. In addition, existing rules can be replaced with new rules based on ranking using the informative potential of the data. In this way, the rule-base structure is inherited and updated when new informative data become available, rather than being completely retrained. The adaptive nature of these evolving rule-based models, in combination with the highly transparent and compact form of fuzzy rules, makes them a promising candidate for modeling and control of complex processes, competitive to neural networks. The approach has been tested on a benchmark problem and on an air-conditioning component modeling application using data from an installation serving a real building. The results illustrate the viability and efficiency of the approach. (c) IEEE Transactions on Fuzzy System

    French interlanguage oral corpora: recent developments

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    The raw data for any second language acquisition research, namely interlanguage corpora, are one of our most expensive resources to collect. New methodologies now make it relatively easy to share this resource, by storing digitised soundfiles and transcripts on the Internet, thus making oral interlanguage corpora accessible to other L2 researchers.The article first discusses the possibilities offered by new methodologies, in terms of data storage, management and data analysis, and it then presents current efforts to develop web-based access to French oral interlanguage corpora of learners at different levels and with different backgrounds.Finally, the article presents a short inventory of the French interlanguage oral corpora currently available, indicating in each case the author and main outputs to date, as well as providing information about the learners, the format of the corpus (e.g. longitudinal versus cross-sectional data; transcription conventions) and its accessibility to users

    A weather related causal analysis on consolidated delay at Newark Liberty International Airport

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    The closure of the European airspace due to the eruption of the Icelandic volcano Eyjafjallajokull in 2010 proved a major challenge for airlines and aviation authorities on a global scale. In contrast, more seasonal adverse meteorological conditions afflict many airports in the northern eastern seaboard of the United States. Newark Liberty International Airport (KEWR) is a representative airport that endures severe weather based delays. This dissertation explores the utilisation of Bayesian Networks (BN) and heuristic analyses to investigate weather based delays at Newark Liberty International airport (KEWR). In particular, it aims to understand which weather variables (namely, precipitation, visibility and wind) have the most impact on weather based delays at KEWR in contrast to past studies that have studied more generic weather phenomena (e.g. thunderstorms) at the same airport. An analysis using temporal functionality with Bayesian Networks (BN) software and heuristic analyses was conducted. Data extracted from weather and aviation based websites was extracted using software. The quality of the information was cross referenced with official data sources and validated using BN tools. The results revealed a causal correlation chain between crosswinds above a certain threshold and high delays at KEWR at various points in the experimentation. Though other meteorological elements examined had an impact on delays, airport authorities and airlines can mitigate these factors to a certain scale using Federal Aviation Authority (FAA) approved technology and training. Consequently, the implications could be significant on existing FAA and regional policy with Ground Delay Program (GDP) and Noise Abatement Procedures (NAP). These policies can be profound and far reaching for airlines, in terms of operating procedures and fuel cost implications. These findings can further alter the balance between efficiency, public safety and airline costing affecting all major stakeholders as this dissertation will investigate

    Nel Regno dei Paesi Bassi: il Rule of Law fa da sovrano?

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    The essay aims at addressing some aspects selected from the first three reports presented by the European commission on the Rule of Law situation in the Netherlands. The author follows the quadripartite topic scheme set by the Commission itself (justice system, anticorruption framework, media pluralism, and other matters considered relevant with regards to the general theme) and concludes with two brief digressions regarding facts occurred between the publication of the two reports, and that the author considers to be of great importance for their implications with the Dutch Rule of Law

    Campbell\u27s Rule for Estimating Entropy Changes (the author replies)

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    The author revises an aspect of selecting a numerical value for Campbell’s rule that was overlooked in his original presentation

    We don’t do enough for the rule of law. Egmont Commentary, 10 February 2017

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    At a time when EU seeks to reinvent itself, the author argues that the EU should carry out regular monitoring processes that guarantees of rule of law and democratic values in its Member States

    The Concept of Robot Judges Using Generative Artificial Intelligence and the Rule of Law

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    This chapter explores the concept of robot judges using Generative Artificial Intelligence (GAI) within the framework of the rule of law. It specifically focuses on the potential of GAI models, like ChatGPT-4, in the judicial system and their compatibility with the principle of a fair trial. The author discusses the functionality and role of judges in upholding the rule of law, highlighting the importance of impartiality, integrity, and adherence to legal principles. The article delves into the capabilities and limitations of GAI in legal decision-making, considering aspects like the handling of legal disputes, the influence of training data on GAI outputs, and the balance between technological efficiency and human judgment. The discussion includes experiments with ChatGPT-4 and Bing Chat, assessing their proficiency in legal reasoning and potential as robot judges. Furthermore the paper critically examines the ethical, legal, and practical implications of integrating GAI in the judiciary, pondering the future of legal systems with AI-enhanced decision-making

    Calling the judiciary to account for the past : transitional justice and judicial accountability in Nigeria

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    Institutional and individual accountability is an important feature of societies in transition from conflict or authoritarian rule. The imperative of accountability has both normative and transformational underpinnings in the context of restoration of the rule of law and democracy. This article argues a case for extending the purview of truth-telling processes to the judiciary in postauthoritarian contexts. The driving force behind the inquiry is the proposition that the judiciary as the third arm of government at all times participates in governance. To contextualize the argument, I focus on judicial governance and accountability within the paradigm of Nigeria’s transition to democracy after decades of authoritarian military rule
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