34,782 research outputs found

    How to Write a Proof: Patterns of Justification in Strategic Documents for Educational Reform

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    Writing strategic documents is a major practice of many actors striving to see their educational ideas realised in the curriculum. In these documents, arguments are systematically developed to create the legitimacy of a new educational goal and competence to make claims about it. Through a qualitative analysis of the writing strategies used in these texts, I show how two of the main actors in the Czech educational discourse have developed a proof that a new educational goal is needed. I draw on the connection of the relational approach in the sociology of education with Lyotard’s analytical semantics of instances in the event. The comparison of the writing strategies in the two documents reveals differences in the formation of a particular pattern of justification. In one case the texts function as a herald of pure reality, and in the other case as a messenger of other witnesses. This reveals different regimens of proof, although both of them were written as prescriptive directives – normative models of the educational world

    A case study on how language learning strategies are fostered in an EFL chilean classroom context

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    Tesis (Profesor de Inglés para la Enseñanza Básica y Media y al grado académico de Licenciado en Educación)This mixed-methods case study attempted to explore how Language Learning Strategies (LLS) are fostered within a secondary level Chilean EFL public school context, based on a teacher’s pedagogical actions. Through empirical observation, task analysis, and an interview, this thesis intended to unveil the rationale behind the predominance of certain LLS at expense of others. Previous studies and literature served as a reference to later on determine potential cohesion between background records and first-hand evidence, which proved to be in relative alignment. Accordingly, this paper looked forward to extrapolating thoughts and assumptions the teacher had about that strategy-fostering bias with objective information evidenced through the development of the tasks carried out during the observation period. The results drew a tendency placing Memory strategies among the rest as the most fostered category, whereas Compensation befell to be the least favored LLS category overall.El propósito de este estudio de caso con un enfoque de investigación mixto fue explorar el desarrollo de la promoción de Estrategias del Estudio de la Lengua (Language Learning Strategies) dentro de una clase de Inglés como Lengua Extranjera (EFL) en un curso/nivel de educación secundaria inmerso en el contexto de un establecimiento educacional público chileno basado en las acciones pedagógicas del profesor a cargo. A través de observaciones empíricas, análisis de actividades y una entrevista, la intención de esta tesis fue develar la lógica tras la predominancia de ciertas Estratégias del Estudio de la Lengua en desmedro de otras. Varios artículos, tesis y otros tipos de documentos literarios sirvieron como referencia para posteriormente determinar la cohesión entre estos precedentes y la evidencia empírica recolectada, la cual ha probado estar en relativa concordancia. Por consiguiente, este documento buscó extrapolar la subjetividad de las reflexiones y suposiciones que el profesor-muestra del caso en cuestión fue capaz de dilucidar respecto a la tendencia a parcializar la promoción de ciertas estrategias con información objetiva obtenida a través del análisis de las instrucciones y actividades desarrolladas por el profesor durante el periodo de observación. Los resultados arrojaron tendencias favoreciendo a las estrategias de Memoria por encima del resto como la categoría más fomentada, mientras que las estrategias de Compensación resultaron ser aquellas con menos rodaje

    Gaining Access to the Language of Science: A Research Partnership for Disciplined, Discursive Ways to Select and Assess Vocabulary Knowledge

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    To equalize access to science learning across genders and demographic groups, access to the disciplinary language of science is one place to start. The language of science is highly challenging and specialized, and difficulties acquiring this language contribute to disparities in science achievement across diverse student groups. This study used a pre-post design to analyze effectiveness of a brief classroom science vocabulary assessment designed to assess receptive and productive vocabulary knowledge across multiple sections of one 7th grade science teacher’s class. Vocabulary was selected and analysis conducted by an interdisciplinary research partnership including the science teacher, a literacy specialist, and a scientist. The resulting model presents an assessment that evaluates receptive knowledge and productive use of science language and reinforces vocabulary theory: learning words is incremental and multidimensional, and assessment should address this specialized skill in principled, disciplined ways

    The Journal of the Center for Interdisciplinary Teaching and Learning

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    IMPACT: The Journal of the Center for Interdisciplinary Teaching & Learning is a peer-reviewed, biannual online journal that publishes scholarly and creative non-fiction essays about the theory, practice and assessment of interdisciplinary education. Impact is produced by the Center for Interdisciplinary Teaching & Learning at the College of General Studies, Boston University (www.bu.edu/cgs/citl).How do our students learn what it means to be a human being, with all the attendant responsibilities and joys? How do we learn to teach in a truly interdisciplinary manner? These are some of the questions that preoccupy this issue’s contributors

    Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

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    This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl

    Improving Asynchronous Interview Interaction with Follow-up Question Generation

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    The user experience of an asynchronous video interview system, conventionally is not reciprocal or conversational. Interview applicants expect that, like a typical face-to-face interview, they are innate and coherent. We posit that the planned adoption of limited probing through follow-up questions is an important step towards improving the interaction. We propose a follow-up question generation model (followQG) capable of generating relevant and diverse follow-up questions based on the previously asked questions, and their answers. We implement a 3D virtual interviewing system, Maya, with capability of follow-up question generation. Existing asynchronous interviewing systems are not dynamic with scripted and repetitive questions. In comparison, Maya responds with relevant follow-up questions, a largely unexplored feature of irtual interview systems. We take advantage of the implicit knowledge from deep pre-trained language models to generate rich and varied natural language follow-up questions. Empirical results suggest that followQG generates questions that humans rate as high quality, achieving 77% relevance. A comparison with strong baselines of neural network and rule-based systems show that it produces better quality questions. The corpus used for fine-tuning is made publicly available

    Understanding Inequality and the Justice System Response: Charting a New Way Forward

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    This is one of a series of five papers outlining the particular domains and dimensions of inequality where new research may yield a better understanding of responses to this growing issue.This paper focuses on inequality in the justice system. Using a fact-based approach the recognizes the complexitites surrounding the issue, it argues that the system itself is implicated in the exacerbation of inequality, especially for blacks and other minorities. The first part of this paper addresses what is known about crime, offenders, and victims. The second part examines what is known about the justice system response, in particular how this response has, in fact, exacerbated inequality. The third part of this paper discusses promising directions for future research, as well as directions for future work on programs, policies, and practices to reduce inequality related to justice outcomes for youth ages 5 to 25 in the United States

    Concept-based Interactive Query Expansion Support Tool (CIQUEST)

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    This report describes a three-year project (2000-03) undertaken in the Information Studies Department at The University of Sheffield and funded by Resource, The Council for Museums, Archives and Libraries. The overall aim of the research was to provide user support for query formulation and reformulation in searching large-scale textual resources including those of the World Wide Web. More specifically the objectives were: to investigate and evaluate methods for the automatic generation and organisation of concepts derived from retrieved document sets, based on statistical methods for term weighting; and to conduct user-based evaluations on the understanding, presentation and retrieval effectiveness of concept structures in selecting candidate terms for interactive query expansion. The TREC test collection formed the basis for the seven evaluative experiments conducted in the course of the project. These formed four distinct phases in the project plan. In the first phase, a series of experiments was conducted to investigate further techniques for concept derivation and hierarchical organisation and structure. The second phase was concerned with user-based validation of the concept structures. Results of phases 1 and 2 informed on the design of the test system and the user interface was developed in phase 3. The final phase entailed a user-based summative evaluation of the CiQuest system. The main findings demonstrate that concept hierarchies can effectively be generated from sets of retrieved documents and displayed to searchers in a meaningful way. The approach provides the searcher with an overview of the contents of the retrieved documents, which in turn facilitates the viewing of documents and selection of the most relevant ones. Concept hierarchies are a good source of terms for query expansion and can improve precision. The extraction of descriptive phrases as an alternative source of terms was also effective. With respect to presentation, cascading menus were easy to browse for selecting terms and for viewing documents. In conclusion the project dissemination programme and future work are outlined
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