Effects of Repeated Readings on Reading Abilities of English Language Learners with Specific Learning Disabilities

This study investigated the effects of repeated readings on the reading abilities of 4, third-, fourth-, and fifth-grade English language learners (ELLs) with specific learning disabilities (SLD). A multiple baseline probe design across subjects was used to explore the effects of repeated readings on four dependent variables: reading fluency (words read correctly per minute; wpm), number of errors per minute (epm), types of errors per minute, and answer to literal comprehension questions. Data were collected and analyzed during baseline, intervention, generalization probes, and maintenance probes. Throughout the baseline and intervention phases, participants read a passage aloud and received error correction feedback. During baseline, this was followed by fluency and literal comprehension question assessments. During intervention, this was followed by two oral repeated readings of the passage. Then the fluency and literal comprehension question assessments were administered. Generalization probes followed approximately 25% of all sessions and consisted of a single reading of a new passage at the same readability level. Maintenance sessions occurred 2-, 4-, and 6-weeks after the intervention ended. The results of this study indicated that repeated readings had a positive effect on the reading abilities of ELLs with SLD. Participants read more wpm, made fewer epm, and answered more literal comprehension questions correctly. Additionally, on average, generalization scores were higher in intervention than in baseline. Maintenance scores were varied when compared to the last day of intervention, however, with the exception of the number of hesitations committed per minute maintenance scores were higher than baseline means. This study demonstrated that repeated readings improved the reading abilities of ELLs with SLD and that gains were generalized to untaught passages. Maintenance probes 2-, 4-, and 6- weeks following intervention indicated that mean reading fluency, errors per minute, and correct answers to literal comprehensive questions remained above baseline levels. Future research should investigate the use of repeated readings in ELLs with SLD at various stages of reading acquisition. Further, future investigations may examine how repeated readings can be integrated into classroom instruction and assessments.

Reflexões fenomenológicas sobre o sofrimento em relação ao trabalho

The literature review reveals that the field of Work Organizational Psychology, as well as the Mental Health of Work has been developing relevant research about the suffering and the world of work. This research intended to approach the unique experience of suffering in relation of the work, from the clinical view, taking the Heidegger’s phenomenological hermeneutics perspective as a reference. Inspired by the thought of the philosopher, sought to understand the suffering in their ontic and existential dimensions, in its limiting aspects; as the one who restricts the possibilities of relationship that man with others, putting in danger significances networks woven for him to deal with things and to live with others. The world of work has been envisioned as a space of possibilities for realization of the existence. Thus, the objective of this study is to understand how the suffering is experienced in relation to work, from the experience of professionals inserted in a judicial organization. The research, with the qualitative approach, used semi-structured individual interviews, whose narratives were analyzed from the heideggerian hermeneutic perspective. Three employees collaborated into this research. The narratives showed that the suffering is related with excess and diversity of tasks carried out by the same employee, associated with lack of acknowledgment of the work executed, and also with working relationship. In general way, the suffering revealed itself as helplessness, loneliness and lack of sense to the existence. We hope that this study enables the opening towards new horizons of understanding about the meanings and sense of work and their relationship networks, as well as contributes to the field of psychology in general

Validação do instrumento dos indicadores observáveis da qualidade do cuidado em instituições de longa permanência para idosos

The Nursing Homes are an important alternative care in the world, but Brazil still has no valid instrument to monitor the quality these institutions. In the United States, the Observable Indicators of Nursing Home Care Quality Instrument (OIQ) is used to assess the quality of Nursing Home care using 30 indicators of structure (2 dimensions) and process (5 dimensions) related to quality person-centered care. The present study aimed at cross-culturally adapting the OIQ in order to evaluate the quality of Nursing Home care in Brazil. Conceptual and item equivalence were determined to assess the relevance and viability of OIQ in the Brazilian context, using the Content Validity Index (CVI) and a group of specialists composed of 10 participants directly involved in the object of study. Next, operational, idiomatic and semantic equivalence were carried out concurrently. This consisted of 5 phases: (1) two translations and (2) their respective back translations; (3) formal appraisal of referential and general meaning; (4) review by a second group of specialists; (5) application of the pretest at three Nursing Homes by different social entities: health professionals, sanitary surveillance regulators and potential consumers. Measurement equivalence was evaluated by the Cronbach’s alpha test to verify the internal consistency of the instrument. To measure inter-evaluator agreement, the General Agreement Index (ICG) and Kappa coefficient were used. Timely compliance and 95% Confidence Interval of indicators, dimensions and total construct were estimated. The CVI obtained high results for both relevance (95.3%) and viability (94.3%) in the Brazilian context. With respect to referential meaning, similarity was observed, ranging between 90-100% for the first back translation and 70-100% for the second. In relation to general meaning, version 1 was better, classified as “unchanged” in 80% of the items, whereas in version 2 it was only 47%. In the pretest, the OIQ was easy to understand and apply. The following outcomes were obtained: a high Cronbach’s alpha (0.93), satisfactory ICG (75%) and substantial agreement between the pairs of evaluators (health professionals, regulators from the Superintendency of Sanitary Surveillance –SUVISA-, and potential consumers), according to the Kappa coefficient (0.65). It´s possible take the operational equivalence held since it preserved the original layout in the Brazilian version from the maintenance in application mode, response options, number of items, statements and scores. The performance of nursing homes obtained approximate average scores of 87, a variation 55-111 considering a range from 30 to 150 points. The worst outcomes were related to process indicators with a mean of 2.8 per item, while structure was 3.75 on a scale of 1 to 5. The lowest score was obtained for the care dimension (mean 2). The OIQ version was deemed to be a valid and reliable instrument in the Brazilian context. It is recommended that health professionals, regulators and potential consumers adopt it to access and monitor the quality of Nursing Home care and demonstrating opportunities for improvement.

A construção medial no português do Brasil: usos no padrão reclamação digital

This thesis examines the medial construction of the Portuguese of Brazil (PB). It is a construction which describes a causative event in which a non-human subject participant is affected by an action that does not originate from itself. Thus, we are interested in investigating this type of construction, its specific characteristics, motivations and discursive context from its semantic- cognitive and discoursive - pragmatic functions. The research questions are: what is the prototypical structural configuration of the medial construction (MC) in the Portuguese of Brazil? What are its specific discoursive functions? What is the degree of MC transitivity based on the properties proposed by Hopper and Thompson (1980)? We assume that the medial construction has its own structure which particularizes its significant dimension, thus ensuring a certain distance between the one in charge of the event and the affected entity. The theoretical and methodological assumptions is founded on Usage-based Functional Linguistics (FURTADO DA CUNHA; BISPO; SILVA, 2013). It is a research of qualitative- interpretative nature that has prioritized the analysis of occurrences arising from texts produced by users of the Brazilian Portuguese language in effective communicative situation. The database for this study is electronic texts available on the website www.reclameaqui.com.br. The results revealed the existence of different configurations of the medial construction in the Brazilian Portuguese, having as prototypical the one formed by SN + V. From the morphosyntactic and semantic point of view, the construction expresses a subject affected by an action that does not part from itself. As for the pragmatic aspect, the construction expresses an event that seems to have the purpose to emphasize the affected argument and to ignore, intentionally or not, the agent or the causative, since it is irrelevant to the speaker/ listener in the contextual situation.

Entre cartas e contos na sala de aula: diálogos e afetos em textos de Mário de Andrade e Câmara Cascudo

Specific educational material production for a group of level IV – 8th and 9th years of Youth and Adults Education, having as starting point the reading of a series of letter of correspondence between Câmara Cascudo and Mário de Andrade in the 1920s, and the verification of the way the dialog between the two authors reveals elements that transpire themselves in the tale entitled “Piá não sofre? Sofre”, from the book Os contos de Belazarte, de Mário de Andrade. The educational material production was preceded by the analysis of the selected tale, which will be studied along with some of the letters, in an analysis of the textual, discursive and semantic features of the text in representation of these both genres: letter and tale. The selected tale was written between 1923 and 1926, dates close to the years when the author came by Rio Grande do Norte state, in the years from 1927 to 1929, accompanied by Câmara Cascudo, being also this period that there are records of letters in the set of correspondence between them. To the reading of the selected material, it was used theoretical references from literature and literary historiography, especially the history of Brazilian modernist movement. To the production of the educational material, it was chosen as theoretical reference the accumulated knowledge in the area of literature teaching, literacy and the recommendations of the Brazilian National Curriculum Parameters. The methodology in this study was constructed from the theoretical references and had as basic support the study of didactic sequences from which a specific thematic unit got its shape from, required by the analyzed material and tested in a classroom.

Entre cartas e contos na sala de aula: diálogos e afetos em textos de Mário de Andrade e Câmara Cascudo

Specific educational material production for a group of level IV – 8th and 9th years of Youth and Adults Education, having as starting point the reading of a series of letter of correspondence between Câmara Cascudo and Mário de Andrade in the 1920s, and the verification of the way the dialog between the two authors reveals elements that transpire themselves in the tale entitled “Piá não sofre? Sofre”, from the book Os contos de Belazarte, de Mário de Andrade. The educational material production was preceded by the analysis of the selected tale, which will be studied along with some of the letters, in an analysis of the textual, discursive and semantic features of the text in representation of these both genres: letter and tale. The selected tale was written between 1923 and 1926, dates close to the years when the author came by Rio Grande do Norte state, in the years from 1927 to 1929, accompanied by Câmara Cascudo, being also this period that there are records of letters in the set of correspondence between them. To the reading of the selected material, it was used theoretical references from literature and literary historiography, especially the history of Brazilian modernist movement. To the production of the educational material, it was chosen as theoretical reference the accumulated knowledge in the area of literature teaching, literacy and the recommendations of the Brazilian National Curriculum Parameters. The methodology in this study was constructed from the theoretical references and had as basic support the study of didactic sequences from which a specific thematic unit got its shape from, required by the analyzed material and tested in a classroom.

Dançando a carne: uma poética do corpo no mito adâmico

In this dissertation we reflect about sensitive the dimension of the body, which enables us to participate in mythical space and set him as a potential space for artistic creation in dance, experience provider in senses for world, for life and for existence. It´s a written, thrashing some reflections on the human condition from a gaze cast upon the myth of Adam, leading us to think about the possible relationships between art and myth in contemporary times, as fields of knowledge open to creation, and semantic spaces able to assign new meanings to living through the pulsations of a body that is myth and what is dance. One of the goals of this study is set up a new point of view to analyze the Adam's myth, enabling to new interpretations, meanings and understandings from the experience in the process of creation in contemporary dance. Therefore, methodologically reference is made in the Phenomenology, or rather the phenomenological attitude proposed by Merleau-Ponty (1994), which considers the experience of the body as the primary source of knowledge. Dipping on this process of creation in contemporary dance, one artistic and choreographic work was originated, titled "The Body I am”, in contemplation of this dance that echoes the mystery, that emerges from the depths of the body, and it brings to the human surface and your world, your relationships. Realize that dance is as a sensitive guide and counselor reflections ontological and epistemological, able to validate and perpetuate the myth whereas ancestral wisdom inheritance.

Quality planning based on risk assessment

Product quality planning is a fundamental part of quality assurance in manufacturing. It is composed of the distribution of quality aims over each phase in product development and the deployment of quality operations and resources to accomplish these aims. This paper proposes a quality planning methodology based on risk assessment and the planning tasks of product development are translated into evaluation of risk priorities. Firstly, a comprehensive model for quality planning is developed to address the deficiencies of traditional quality function deployment (QFD) based quality planning. Secondly, a novel failure knowledge base (FKB) based method is discussed. Then a mathematical method and algorithm of risk assessment is presented for target decomposition, measure selection, and sequence optimization. Finally, the proposed methodology has been implemented in a web based prototype software system, QQ-Planning, to solve the problem of quality planning regarding the distribution of quality targets and the deployment of quality resources, in such a way that the product requirements are satisfied and the enterprise resources are highly utilized. © Springer-Verlag Berlin Heidelberg 2010.

Pediatric CNS pathophysiology

Research in pediatric central nervous system pathophysiology is focused around three primary goals: identification of neurodevelopmental disorders, understanding the differences in brain development which underlie these disorders, and improving treatment for these young children. Autism spectrum disorders (ASDs) are a complex set of disorders which are characterized by difficulties in language and social interactions. These behavioral measures are highly variable and a number of underlying causes can generate similar behavioral effects. Therefore, it is important to identify neurophysiological markers to better identify and characterize these disorders. Recent ASD findings using MEG show atypical latency and amplitude responses and poor cortical connectivity in children with ASDs across the cognitive spectrum from basic auditory processing, multisensory integration, to face and semantic processing. These results further support the view that ASDs are a complex neurologically-based disorder. On the other hand, the cause of Down syndrome is well understood as originating from a partial or full replication of chromosome 21. However, the cognitive and neurological consequences of this chromosomal abnormality are not yet well understood. Using a simple observation and motor execution task, poor functional connectivity in sensory-motor areas, particularly in the gamma band range, has been identified in children with Down syndrome and is consistent with behavioral deficits in the sensory-motor realm. Additional studies are needed to better understand whether targeted identification of these abnormalities can facilitate treatment in this disorder. Finally, while epilepsy can be reliably diagnosed, seizure control is still limited in many cases where the seizure onset zone is not readily apparent. Advances in pre-surgical evaluation and intra-operative co-registration will be described. These studies describing pediatric CNS pathophysiology will be discussed. © Springer-Verlag 2010.

Learning from Geometry

Subspaces and manifolds are two powerful models for high dimensional signals. Subspaces model linear correlation and are a good fit to signals generated by physical systems, such as frontal images of human faces and multiple sources impinging at an antenna array. Manifolds model sources that are not linearly correlated, but where signals are determined by a small number of parameters. Examples are images of human faces under different poses or expressions, and handwritten digits with varying styles. However, there will always be some degree of model mismatch between the subspace or manifold model and the true statistics of the source. This dissertation exploits subspace and manifold models as prior information in various signal processing and machine learning tasks.

A near-low-rank Gaussian mixture model measures proximity to a union of linear or affine subspaces. This simple model can effectively capture the signal distribution when each class is near a subspace. This dissertation studies how the pairwise geometry between these subspaces affects classification performance. When model mismatch is vanishingly small, the probability of misclassification is determined by the product of the sines of the principal angles between subspaces. When the model mismatch is more significant, the probability of misclassification is determined by the sum of the squares of the sines of the principal angles. Reliability of classification is derived in terms of the distribution of signal energy across principal vectors. Larger principal angles lead to smaller classification error, motivating a linear transform that optimizes principal angles. This linear transformation, termed TRAIT, also preserves some specific features in each class, being complementary to a recently developed Low Rank Transform (LRT). Moreover, when the model mismatch is more significant, TRAIT shows superior performance compared to LRT.

The manifold model enforces a constraint on the freedom of data variation. Learning features that are robust to data variation is very important, especially when the size of the training set is small. A learning machine with large numbers of parameters, e.g., deep neural network, can well describe a very complicated data distribution. However, it is also more likely to be sensitive to small perturbations of the data, and to suffer from suffer from degraded performance when generalizing to unseen (test) data.

From the perspective of complexity of function classes, such a learning machine has a huge capacity (complexity), which tends to overfit. The manifold model provides us with a way of regularizing the learning machine, so as to reduce the generalization error, therefore mitigate overfiting. Two different overfiting-preventing approaches are proposed, one from the perspective of data variation, the other from capacity/complexity control. In the first approach, the learning machine is encouraged to make decisions that vary smoothly for data points in local neighborhoods on the manifold. In the second approach, a graph adjacency matrix is derived for the manifold, and the learned features are encouraged to be aligned with the principal components of this adjacency matrix. Experimental results on benchmark datasets are demonstrated, showing an obvious advantage of the proposed approaches when the training set is small.

Stochastic optimization makes it possible to track a slowly varying subspace underlying streaming data. By approximating local neighborhoods using affine subspaces, a slowly varying manifold can be efficiently tracked as well, even with corrupted and noisy data. The more the local neighborhoods, the better the approximation, but the higher the computational complexity. A multiscale approximation scheme is proposed, where the local approximating subspaces are organized in a tree structure. Splitting and merging of the tree nodes then allows efficient control of the number of neighbourhoods. Deviation (of each datum) from the learned model is estimated, yielding a series of statistics for anomaly detection. This framework extends the classical {\em changepoint detection} technique, which only works for one dimensional signals. Simulations and experiments highlight the robustness and efficacy of the proposed approach in detecting an abrupt change in an otherwise slowly varying low-dimensional manifold.

From labelling to social aid for immigrants in the 21st Century

Migration is as old as humanity, but since the 1990s migration flows in Western Europe have led to societies that are not just multicultural but so-called «super-diverse». As a result, Western towns now have very complex social structures, with amongst others large amounts of small immigrant communities that are in constant change. In this paper we argue that for social workers to be able to offer adequate professional help to non-native residents in town, they will need balanced view of ‘culture’ and of the role culture plays in social aid. Culture is never static, but is continually changing. By teaching social workers about how to look at cultural backgrounds of immigrant groups and about the limitations of then role that culture plays in communication, they will be better equipped to provide adequate aid and will contribute to making various groups grow towards each other and to avoid people thinking in terms of ‘out-group-homogeneity’. Nowadays, inclusion is a priority in social work that almost every social worker supports. Social workers should have an open attitude to allow them to approach every individual as a unique person. They will see the other person as the person they are, and not as a part of a specific cultural group. Knowledge about the others makes them see the cultural heterogeneity in every group. The social sector, though, must be aware not to fall into the trap of the ‘inclusion mania’! This will cause the social deprivation of a particular group to be forgotten. An inclusive policy requires an inclusive society. Otherwise, this could result in even more deprivation of other groups, already discriminated against. Emancipation of deprived people demands a certain target-group policymaking. Categorized aid will raise efficiency of working with immigrants and of acknowledging the cultural identity of the non-natives group. It will also create the possibility to work on fighting social deprivation, in which most immigrants can be found.

El impacto de la presencia online en las cuentas de Twitter de las universidades vascas y navarras

Las Universidades han tenido que adaptarse a los nuevos modelos de comunicación surgidos en la época de Internet. Dentro de estos nuevos paradigmas las redes sociales han irrumpido y Twitter se ha establecido como una de las más importantes. El objetivo de esta investigación es demostrar que existe una relación entre la presencia online de una Universidad, definida por la cantidad de información disponible en Internet, y su cuenta en Twitter. Para ello se analizó la relación entre la presencia online y los perfiles oficiales de las cinco universidades del País Vasco y Navarra. Los resultados demostraron la existencia de una correlación significativa entre la presencia online de las instituciones y el número de seguidores de sus respectivas cuentas. En segundo lugar, esta investigación se planteó si Twitter puede servir para potenciar la presencia online de una Universidad. Es por eso que se formuló una segunda hipótesis que buscaba analizar si tener varias cuentas en Twitter aumentaría la presencia online de las Universidades. Los hallazgos para esta segunda hipótesis demostraron una correlación muy significativa entre tener varios perfiles en Twitter y la presencia online de las Universidades. Así queda demostrada la importancia de la presencia online para las cuentas de Twitter y la relevancia de Twitter a la hora de potenciar la presencia online de los centros.

Modeling Individual Differences among Writers Using ReaderBench

The current study builds upon a previous study, which examined the degree to which the lexical properties of students’ essays could predict their vocabulary scores. We expand on this previous research by incorporating new natural language processing indices related to both the surface- and discourse-levels of students’ essays. Additionally, we investigate the degree to which these NLP indices can be used to account for variance in students’ reading comprehension skills. We calculated linguistic essay features using our framework, ReaderBench, which is an automated text analysis tools that calculates indices related to linguistic and rhetorical features of text. University students (n = 108) produced timed (25 minutes), argumentative essays, which were then analyzed by ReaderBench. Additionally, they completed the Gates-MacGinitie Vocabulary and Reading comprehension tests. The results of this study indicated that two indices were able to account for 32.4% of the variance in vocabulary scores and 31.6% of the variance in reading comprehension scores. Follow-up analyses revealed that these models further improved when only considering essays that contained multiple paragraph (R2 values = .61 and .49, respectively). Overall, the results of the current study suggest that natural language processing techniques can help to inform models of individual differences among student writers.

Finding the Needle in a Haystack: Who are the Most Central Authors Within a Domain?

The speed at which new scientific papers are published has increased dramatically, while the process of tracking the most recent publications having a high impact has become more and more cumbersome. In order to support learners and researchers in retrieving relevant articles and identifying the most central researchers within a domain, we propose a novel 2-mode multilayered graph derived from Cohesion Network Analysis (CNA). The resulting extended CNA graph integrates both authors and papers, as well as three principal link types: coauthorship, co-citation, and semantic similarity among the contents of the papers. Our rankings do not rely on the number of published documents, but on their global impact based on links between authors, citations, and semantic relatedness to similar articles. As a preliminary validation, we have built a network based on the 2013 LAK dataset in order to reveal the most central authors within the emerging Learning Analytics domain.

What Makes Your Writing Style Unique? Significant Differences Between Two Famous Romanian Orators

This paper introduces a novel, in-depth approach of analyzing the differences in writing style between two famous Romanian orators, based on automated textual complexity indices for Romanian language. The considered authors are: (a) Mihai Eminescu, Romania’s national poet and a remarkable journalist of his time, and (b) Ion C. Brătianu, one of the most important Romanian politicians from the middle of the 18th century. Both orators have a common journalistic interest consisting in their desire to spread the word about political issues in Romania via the printing press, the most important public voice at that time. In addition, both authors exhibit writing style particularities, and our aim is to explore these differences through our ReaderBench framework that computes a wide range of lexical and semantic textual complexity indices for Romanian and other languages. The used corpus contains two collections of speeches for each orator that cover the period 1857–1880. The results of this study highlight the lexical and cohesive textual complexity indices that reflect very well the differences in writing style, measures relying on Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) semantic models.