From the Grassroot to the Tree Tops: How One Library has become Embedded in Online Learning

This presentation will show how a grassroots initiative has budded into the Florida International University (FIU) Libraries being an instrumental part of online learning. It will describe some of the marketing and outreach efforts that have been successful and share ideas on how to build alliances and networks with online faculty and students. Along with outreach efforts, the presentation will demonstrate some of the successful tools used to meet the needs of online students. Some of the these tools include becoming embedded in courses, building course and program specific Libguides, using Adobe Connect to reach students, creating simple YouTube videos, and creating more professional videos with FIU Online. The presentation will conclude with sharing some tips on how to keep the workload manageable when distance-learning programs are growing at the same time as library budgets and resources are shrinking.

A descriptive study of the empowerment process of mothers of children who have disabilities

The purpose of this study was to examine the phenomenological aspect in the empowerment process of mothers of children with disabilities, and to determine if the coding categories used by Dunst & Trivette (1996) could be replicated. Three mothers of children with disabilities agreed to participate in the study. A semistructured interview was used to determine the specific events that lead to empowerment. Interviews were audio-taped and transcribed by the researcher. Fifteen coding categories and four majors themes of empowerment were identified. Triangulation was used to assure reliability and validity. The findings demonstrated that the coding stages of empowerment as outlined by Dunst & Trivette (1996) are reproducible, as well as the envisionment of the future for their children is the essence of empowerment for these mothers. Specific suggestions are made by which occupational therapists can facilitate the empowerment process of mothers who have children with disabilities.

Currículo escolar e inclusão de estudantes com deficiência: diálogos com uma escola pública

This work of qualitative approach, has as its study object the school curriculum, resulting from the implementation of public policies for inclusion in the Brazilian educational field and of the teaching organization in State School Despertar. While we acknowledge advances in government discussions and proposals related to school inclusion in our country, it is still important to develop studies and interventions in the context of basic education focused on the curriculum. With methodological basis in collaborative-critical action research and contribution by Barbier, the survey was conducted in 2013, in a state school in the Natal - Rio Grande do Norte - school system, and aimed to analyze the curriculum of the State School Despertar, in particular issues related to the inclusion of students with disabilities in common teaching classes expressed in the school and in collective situations of continuing education with teachers and interpreter of Brazilian Sign Language (Libras). The school was previously chosen because it had already been locus of research in a study conducted by a professor at the Federal University of Rio Grande do Norte promoting the knowledge of their formative needs. The study subjects were 26 teachers in the early years and the end of elementary school and a Libras interpreter. The instruments were direct observation, semi-structured interviews, document analysis and a proposal for continuing education called Collaborative Group on School Inclusion (GCEI), established with the participating subjects and the other research collaborators. The analyzed data showed eight dialogues built with the State School Despertar, being basic the contributions of Goffman (1988) on stigma and of Forquin (1993) on school culture. As a theoretical framework, there were important contributions on School Curriculum (SACRISTÁN, 2000; 2007; APPLE, 2006; 2008), School Inclusion (BUENO, 2008), Continuing Education (NÓVOA, 2002; GATTI, 2003) and the existing studies on the dialogues between Curriculum and Special Education (MAGALHÃES, 2002; SILVA, 2008; 2010; OLIVEIRA, 2004; VIEIRA, 2012). The study highlighted the importance of extending the dialogue, the theoretical deepening of GCEI for the understanding of school curriculum and the specifics of any students, with or without disability. It will be necessary to revisit the school teaching practices that do not correspond to the students, for instance the formation of classes made in classrooms. It is also important to consider the organization of the school day and its interface with the pedagogical functions of each member of the school in building curriculum practices consistent with the diversity of modes and learning styles. Subliminal aspects of the curriculum should be reviewed, given its implications in the context of the classroom and management. However, significant changes identified in the practices of some teachers, such as the use of audio description, stimulus to the participation of students with disabilities and use of images, favored the development of other students, who benefit of more exciting and participatory classes. Based on the conducted research, we conclude on the importance of collectively discuss the conditions for / in schooling of different students and the (re)thinking of curriculum practices in the school as a whole, and therein lies a paradox because, on the one hand, it is not about minimizing the specific knowledge in dealing with the needs of students with disabilities, on the other, we are not interested in distancing these needs from those inherent in human nature, therefore peculiar to the other students. The questioning of our own practices is the challenge imposed, not to special education, or its target audience, but this is undoubtedly task of education.

Currículo escolar e inclusão de estudantes com deficiência: diálogos com uma escola pública

This work of qualitative approach, has as its study object the school curriculum, resulting from the implementation of public policies for inclusion in the Brazilian educational field and of the teaching organization in State School Despertar. While we acknowledge advances in government discussions and proposals related to school inclusion in our country, it is still important to develop studies and interventions in the context of basic education focused on the curriculum. With methodological basis in collaborative-critical action research and contribution by Barbier, the survey was conducted in 2013, in a state school in the Natal - Rio Grande do Norte - school system, and aimed to analyze the curriculum of the State School Despertar, in particular issues related to the inclusion of students with disabilities in common teaching classes expressed in the school and in collective situations of continuing education with teachers and interpreter of Brazilian Sign Language (Libras). The school was previously chosen because it had already been locus of research in a study conducted by a professor at the Federal University of Rio Grande do Norte promoting the knowledge of their formative needs. The study subjects were 26 teachers in the early years and the end of elementary school and a Libras interpreter. The instruments were direct observation, semi-structured interviews, document analysis and a proposal for continuing education called Collaborative Group on School Inclusion (GCEI), established with the participating subjects and the other research collaborators. The analyzed data showed eight dialogues built with the State School Despertar, being basic the contributions of Goffman (1988) on stigma and of Forquin (1993) on school culture. As a theoretical framework, there were important contributions on School Curriculum (SACRISTÁN, 2000; 2007; APPLE, 2006; 2008), School Inclusion (BUENO, 2008), Continuing Education (NÓVOA, 2002; GATTI, 2003) and the existing studies on the dialogues between Curriculum and Special Education (MAGALHÃES, 2002; SILVA, 2008; 2010; OLIVEIRA, 2004; VIEIRA, 2012). The study highlighted the importance of extending the dialogue, the theoretical deepening of GCEI for the understanding of school curriculum and the specifics of any students, with or without disability. It will be necessary to revisit the school teaching practices that do not correspond to the students, for instance the formation of classes made in classrooms. It is also important to consider the organization of the school day and its interface with the pedagogical functions of each member of the school in building curriculum practices consistent with the diversity of modes and learning styles. Subliminal aspects of the curriculum should be reviewed, given its implications in the context of the classroom and management. However, significant changes identified in the practices of some teachers, such as the use of audio description, stimulus to the participation of students with disabilities and use of images, favored the development of other students, who benefit of more exciting and participatory classes. Based on the conducted research, we conclude on the importance of collectively discuss the conditions for / in schooling of different students and the (re)thinking of curriculum practices in the school as a whole, and therein lies a paradox because, on the one hand, it is not about minimizing the specific knowledge in dealing with the needs of students with disabilities, on the other, we are not interested in distancing these needs from those inherent in human nature, therefore peculiar to the other students. The questioning of our own practices is the challenge imposed, not to special education, or its target audience, but this is undoubtedly task of education.

Confirmatory feedback in teacher education:an instigator of student teacher learning

This book examines the intricacies of the discourse of post-observation feedback that student teachers receive following group teaching practice. In particular, the author explores confirmatory feedback as an instigator of student teacher learning, and examines the potential links between feedback and change. The book will be of specific interest to researchers, teacher educators and other professionals involved in feedback-giving settings.

Laboratory focussed learning of core electronic engineering concepts in the first year of an honours degree programme

In common with most universities teaching electronic engineering in the UK, Aston University has seen a shift in the profile of its incoming students in recent years. The educational background of students has moved away from traditional Alevel maths and science and if anything this variation is set to increase with the introduction of engineering diplomas. Another major change to the circumstances of undergraduate students relates to the introduction of tuition fees in 1998 which has resulted in an increased likelihood of them working during term time. This may have resulted in students tending to concentrate on elements of the course that directly provide marks contributing to the degree classification. In the light of these factors a root and branch rethink of the electronic engineering degree programme structures at Aston was required. The factors taken into account during the course revision were:. Changes to the qualifications of incoming students. Changes to the background and experience of incoming students. Increase in overseas students, some with very limited practical experience. Student focus on work directly leading to marks. Modular compartmentalisation of knowledge. The need for provision of continuous feedback on performance We discuss these issues with specific reference to a 40 credit first year electronic engineering course and detail the new course structure and evaluate the effectiveness of the changes. The new approach appears to have been successful both educationally and with regards to student satisfaction. The first cohort of students from the new course will graduate in 2010 and results from student surveys relating particularly to project and design work will be presented at the conference. © 2009 K Sugden, D J Webb and R P Reeves.

Argument structure and specific language impairment: retrospect and prospect

This article reflects a collaboration between the Universities of Groningen and Reading of which Frans Zwarts was the promoter. One of the outcomes was a close attention to the learning of various aspects of argument structure by children with specific language impairment (SLI) in Dutch and English. At that time and since, the focus on deficits in grammatical morphology in these children has left verb complementation as something of a syntactic Cinderella. Here we review the findings from our studies in the 1990s. We confirm that children with SLI in both languages have problems with verb specificity, with argument structure alternations and with resultative verb predicates. The very limited number of subsequent studies on verb syntax appear to support our findings. We conclude that this is an area which will repay further scrutiny – it is high time argument structure received an invitation to the ball.

New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data

Constant technology advances have caused data explosion in recent years. Accord- ingly modern statistical and machine learning methods must be adapted to deal with complex and heterogeneous data types. This phenomenon is particularly true for an- alyzing biological data. For example DNA sequence data can be viewed as categorical variables with each nucleotide taking four different categories. The gene expression data, depending on the quantitative technology, could be continuous numbers or counts. With the advancement of high-throughput technology, the abundance of such data becomes unprecedentedly rich. Therefore efficient statistical approaches are crucial in this big data era.

Previous statistical methods for big data often aim to find low dimensional struc- tures in the observed data. For example in a factor analysis model a latent Gaussian distributed multivariate vector is assumed. With this assumption a factor model produces a low rank estimation of the covariance of the observed variables. Another example is the latent Dirichlet allocation model for documents. The mixture pro- portions of topics, represented by a Dirichlet distributed variable, is assumed. This dissertation proposes several novel extensions to the previous statistical methods that are developed to address challenges in big data. Those novel methods are applied in multiple real world applications including construction of condition specific gene co-expression networks, estimating shared topics among newsgroups, analysis of pro- moter sequences, analysis of political-economics risk data and estimating population structure from genotype data.

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.

Bayesian Learning with Dependency Structures via Latent Factors, Mixtures, and Copulas

Bayesian methods offer a flexible and convenient probabilistic learning framework to extract interpretable knowledge from complex and structured data. Such methods can characterize dependencies among multiple levels of hidden variables and share statistical strength across heterogeneous sources. In the first part of this dissertation, we develop two dependent variational inference methods for full posterior approximation in non-conjugate Bayesian models through hierarchical mixture- and copula-based variational proposals, respectively. The proposed methods move beyond the widely used factorized approximation to the posterior and provide generic applicability to a broad class of probabilistic models with minimal model-specific derivations. In the second part of this dissertation, we design probabilistic graphical models to accommodate multimodal data, describe dynamical behaviors and account for task heterogeneity. In particular, the sparse latent factor model is able to reveal common low-dimensional structures from high-dimensional data. We demonstrate the effectiveness of the proposed statistical learning methods on both synthetic and real-world data.

'Lines of flight': digital musical instruments, inclusive music bands, meaningful engagement in music-making and learning

In this study I examine the development of three inclusive music bands in Cork city. Derived from Jellison’s research on inclusive music education, inclusive music bands involve students with disabilities coming together with typically developing peers to make and learn music that is meaningful (Jellison, 2012). As part of this study, I established three inclusive music bands to address the lack of inclusive music making and learning experiences in Cork city. Each of these bands evolved and adapted in order to be socio-culturally relevant within formal and informal settings: Circles (community education band), Till 4 (secondary school band) and Mish Mash (third level and community band). I integrated Digital Musical Instruments into the three bands, in order to ensure access to music making and learning for band members with profound physical disabilities. Digital Musical Instruments are electronic music devices that facilitate active music making with minimal movement. This is the first study in Ireland to examine the experiences of inclusive music making and learning using Digital Musical Instruments. I propose that the integration of Digital Musical Instruments into inclusive music bands has the potential to further the equality and social justice agenda in music education in Ireland. In this study, I employed qualitative research methodology, incorporating participatory action research methodology and case study design. In this thesis I reveal the experiences of being involved in an inclusive music band in Cork city. I particularly focus on examining whether the use of this technology enhances meaningful music making and learning experiences for members with disabilities within inclusive environments. To both inform and understand the person centered and adaptable nature of these inclusive bands, I draw theoretical insights from Sen’s Capabilities Approach and Deleuze and Guatarri’s Rhizome Theory. Supported by descriptive narrative from research participants and an indepth examination of literature, I discover the optimum conditions and associated challenges of inclusive music practice in Cork city.

Effects of Altered Prenatal Sensory Stimulation on Postnatal Contingency Learning in Bobwhite Quail Neonates (Colinus Virginianus)

Preterm infants are exposed to high levels of modified early sensory experience in the Neonatal Intensive Care Unit (NICU). Reports that preterm infants show deficits in contingency detection and learning when compared to full-term infants (Gekoski, Fagen, & Pearlman, 1984; Haley, Weinberg, & Grunau, 2006) suggest that their exposure to atypical amounts or types of sensory stimulation might contribute to deficits in these critical skills. Experimental modifications of sensory experience are severely limited with human fetuses and preterm infants, and previous studies with precocial bird embryos that develop in ovo have proven useful to assess the effects of modified perinatal sensory experience on subsequent perceptual and cognitive development. In the current study, I assessed whether increasing amounts of prenatal auditory or visual stimulation can interfere with quail neonates’ contingency detection and contingency learning in the days following hatching. Results revealed that augmented prenatal visual stimulation prior to hatching does not disrupt the ability of bobwhite chicks to recognize and prefer information learned in a contingent fashion, whereas augmented prenatal auditory stimulation disrupted the ability of chicks to benefit from contingently presented information. These results suggest that specific types of augmented prenatal stimulation that embryos receive during late prenatal period can impair the ability to learn and remember contingently presented information. These results provide testable developmental hypotheses, with the goal of improving the developmental care and management of preterm neonates in the NICU setting.

Understanding Sources of Knowledge for Coaches of Athletes with Intellectual Disabilities

Background: Recent research has investigated development of coaching knowledge; however, less research has investigated the development of coaches who coach athletes with intellectual disabilities. The purpose of this study was to understand how coaches of athletes with intellectual disabilities gain their knowledge. Method Forty-five Special Olympics Canada coaches participated in structured telephone interviews investigating actual and ideal sources of coaching knowledge. Coaching knowledge was categorized across the dimensions of competition, organization and training. Results Coaches primarily learned by doing and by consulting with coaching peers. Information about ideal sources of coaching knowledge demonstrates that coaches would value structured coaching courses, learning from mentors and from administrative support, in addition to learning on their own and from peers. Discussion Results suggest that a broader approach to education should be incorporated into coaching athletes with intellectual disabilities. Recommendations for achieving such goals are provided.

UPTAKE OF THE PERIODIC HEALTH EXAM AMONG ADULTS WITH INTELLECTUAL AND DEVELOPMENTAL DISABILITIES FROM 2003 TO 2015

Background: Over the past decade, annual heath exams have been de-emphasized for the general population but emphasized for adults with intellectual and developmental disabilities (IDD). The purpose of this project was to determine if there has been an increase in the uptake of the health exam among adults with IDD in Ontario, to what extent, and the effect on the quality of preventive care provided. Methods: Using administrative health data, the proportion of adults (18-64 years old) with IDD who received a health exam (long appointment, general assessment, and “true” health exam), a high value on the primary care quality composite score (PCQS), and a health exam or high PCQS each year was compared to the proportion in a propensity score matched sample of the general population. Negative binomial and segmented negative binomial regression controlling for age and sex were used to determine the relative risk of having a health exam/high PCQS/health exam or PCQS over time. Results: Pre joinpoint, the long appointment and general assessment health exam definitions saw a decrease and the “true” health exam saw an increase in the likelihood of adults having a health exam. Post joinpoint, all health exam definitions saw a decrease in the likelihood of adults having a health exam. Pre joinpoint, all PCQS measures (high PCQS, long appointment or high PCQS, “true” health exam or high PCQS) saw an increase in the likelihood for adults to achieve a high PCQS or high PCQS/have a health exam. Post joinpoint, all PCQS measures saw a decrease in the likelihood for adults to achieve a high PCQS or high PCQS/have a health exam. Achieving a high PCQS was strongly associated with having a health exam regardless of health exam definition or IDD status. Conclusions: Despite the publication of guidelines, only a small proportion of adults with IDD are receiving health exams. This indicates that the publication of guidelines alone was not sufficient to change practice. More targeted measures, such as the implementation of an IDD-specific health exam fee code, should be considered to increase the uptake of the health exam among adults with IDD.

Westminster Serious Games Platform (wmin-SGP) a tool for real-time authoring of roleplay simulations for learning

The use of serious games in education and their pedagogical benefit is being widely recognized. However, effective integration of serious games in education depends on addressing two big challenges: the successful incorporation of motivation and engagement that can lead to learning; and the highly specialised skills associated with customised development to meet the required pedagogical objectives. This paper presents the Westminster Serious Games Platform (wmin-SGP) an authoring tool that allows educators/domain experts without games design and development technical skills to create bespoke roleplay simulations in three dimensional scenes featuring fully embodied virtual humans capable of verbal and non-verbal interaction with users fit for specific educational objectives. The paper presents the wmin-SGP system architecture and it evaluates its effectiveness in fulfilling its purpose via the implementation of two roleplay simulations, one for Politics and one for Law. In addition, it presents the results of two types of evaluation that address how successfully the wmin-SGP combines usability principles and game core drives based on the Octalysis gamification framework that lead to motivating games experiences. The evaluation results shows that the wmin-SGP: provides an intuitive environment and tools that support users without advanced technical skills to create in real-time bespoke roleplay simulations in advanced graphical interfaces; satisfies most of the usability principles; and provides balanced simulations based on the Octalysis framework core drives. The paper concludes with a discussion of future extension of this real time authoring tool and directions for further development of the Octalysis framework to address learning.