MÍDIAS DIGITAIS SOCIAIS NO AUXÍLIO AO EAD: As Novas Tecnologias da Informação e da Comunicação como processo facilitador na relação de ensino-aprendizagem

No presente trabalho investigou-se a adoção por parte das instituições educacionais dos recursos e ferramentas disponíveis nas mídias digitais sociais, que permitem a comunicação síncrona e assíncrona, estimula a comunicação para maior interatividade, dialogicidade e colaboração entre os atores envolvidos no processo ensino-aprendizagem da educação a distância. Para tanto, verificou-se como os alunos que estudam na EAD reagem às novas possibilidades oferecidas com o advento das novas tecnologias da informação e comunicação - NTICs. O estudo focou os alunos que estavam, no momento da pesquisa, cursando os segundos bimestres dos Cursos de Tecnólogos em: Marketing, Logística, Recursos Humanos e Gestão Comercial em EAD, das universidades Anhanguera e Metodista, dos pólos de São Caetano do Sul e Mauá. Na seleção da amostra, optou-se pelo modelo não probabilístico do tipo intencional, adotando-se o critério de que os alunos selecionados conheciam os recursos e as ferramentas utilizadas nas mídias digitais sociais das instituições. Como instrumento de medida, utilizou-se um questionário tipo Likert composto por 7 dimensões e 32 assertivas, além da técnica de entrevista de grupo focal, totalizando 5 encontros. Resgatou-se historicamente alguns pontos sobre o movimento das novas tecnologias, sobretudo as digitais, bem como a educação na modalidade a distância, desde o século passado até a atualidade. Além disso, procurou-se entender o quanto as ações governamentais têm apoiado as transformações tecnológicas que impactam direta e indiretamente nos aspectos educacionais. Outro tema abordado para a discussão desse trabalho foi a Sociedade do Conhecimento, que tem papel de suma importância para o desenvolvimento e avanço das Novas Tecnologias da Comunicação e Informação. As discussões para as análises dos resultados foram norteadas pela Teoria da Ação Comunicativa de Habermas que ajudou a compreender e indicar a importância dos conceitos vistos sobre o mundo da Vida e o mundo do Sistema, dentro da realidade atual da EAD e das NTCs. Os dados apontaram que os alunos que estudam nessas duas Universidades são em sua maioria, casados, possuidores de filhos e pretendem com seus estudos dar um salto qualitativo em suas carreiras, acessam a internet de suas residências, local de trabalho e nas universidades que estudam. São conhecedores e aproveitam as Mídias Digitais Sociais - MDS oferecidas por suas universidades e as utilizam para se comunicarem com seus colegas e seus professores, mas, interagem melhor com as ferramentas oferecidas pelo mercado, que estão disponíveis na Internet e fazem uso de forma bastante significativa do mensageiro e-mail para a comunicação entre seus colegas. A pesquisa também assinalou que, o público pesquisado pertencente à geração de imigrantes digitais se adapta e utiliza relativamente bem as ferramentas oferecidas por ambas as Universidades. Entretanto, também indicou que, os recursos e as ferramentas digitais oferecidas pela instituição de ensino que podem facilitar o processo comunicacional dentro das instituições educacionais são conhecidos, mas, ainda se encontram aquém, frente às possibilidades oferecidas pelas novas tecnologias digitais utilizadas no mercado. Para a maioria, as MDS são de grande importância e facilitam o processo comunicacional dentro da relação de ensino-aprendizagem, entretanto, apontam que o diálogo poderia ser mais dinâmico se houvesse por parte dos professores ou tutores EAD maior interação on-line. A pesquisa assinalou que as mídias digitais sociais e suas ferramentas, oferecidas pelo mercado e que são utilizadas fora da rede do EAD, por serem mais interativas e intuitivas e estarem vinculadas a um ambiente mais descontraído, permitem maior colaboração e uma comunicação muito mais ágil do que as vivenciadas na rede EAD.

Learning with noise and regularizers in multilayer neural networks

We study the effect of two types of noise, data noise and model noise, in an on-line gradient-descent learning scenario for general two-layer student network with an arbitrary number of hidden units. Training examples are randomly drawn input vectors labeled by a two-layer teacher network with an arbitrary number of hidden units. Data is then corrupted by Gaussian noise affecting either the output or the model itself. We examine the effect of both types of noise on the evolution of order parameters and the generalization error in various phases of the learning process.

The learning dynamics of a universal approximator

The learning properties of a universal approximator, a normalized committee machine with adjustable biases, are studied for on-line back-propagation learning. Within a statistical mechanics framework, numerical studies show that this model has features which do not exist in previously studied two-layer network models without adjustable biases, e.g., attractive suboptimal symmetric phases even for realizable cases and noiseless data.

Learning with regularizers in multilayer neural networks

We study the effect of regularization in an on-line gradient-descent learning scenario for a general two-layer student network with an arbitrary number of hidden units. Training examples are randomly drawn input vectors labelled by a two-layer teacher network with an arbitrary number of hidden units which may be corrupted by Gaussian output noise. We examine the effect of weight decay regularization on the dynamical evolution of the order parameters and generalization error in various phases of the learning process, in both noiseless and noisy scenarios.

Globally optimal learning rates in multilayer neural networks

A method for calculating the globally optimal learning rate in on-line gradient-descent training of multilayer neural networks is presented. The method is based on a variational approach which maximizes the decrease in generalization error over a given time frame. We demonstrate the method by computing optimal learning rates in typical learning scenarios. The method can also be employed when different learning rates are allowed for different parameter vectors as well as to determine the relevance of related training algorithms based on modifications to the basic gradient descent rule.

Engaging tutors in using e-repositories for learning and teaching

Universities which set up online repositories for the management of learning and teaching resources commonly find that uptake is poor. Tutors are often reluctant to upload their materials to e-repositories, even though the same tutors are happy to upload resources to the virtual learning environment (e.g. Blackboard, Moodle, Sakai) and happy to upload their research papers to the university’s research publications repository. The paper reviews this phenomenon and suggests constructive ways in which tutors can be encouraged to engage with an e-repository. The authors have recently completed a major project “Developing Repositories at Worcester” which is part of a group of similar projects in the UK. The paper includes the feedback and the lessons learned from these projects, based on the publications and reports they have produced. They cover ways of embedding repository use into institutional working practice, and give examples of different types of repository designed to meet the needs of those using different kinds of learning and teaching resources. As well as this specific experience, the authors summarise some of the main findings from UK publications, in particular the December 2008 report of Joint Information Systems Committee: Good intentions: improving the evidence base in support of sharing learning materials and Online Innovation in Higher Education, Ron Cooke’s report to a UK government initiative on the future of Higher Education. The issues covered include the development of Web 2.0 style repositories rather than conventionally structured ones, the use of tags rather than metadata, the open resources initiative, the best use for conventional repositories, links to virtual learning environments, and the processes for the management and support of repositories within universities. In summary the paper presents an optimistic, constructive view of how to embed the use of e-repositories into the working practices of university tutors. Equally, the authors are aware of the considerable difficulties in making progress and are realistic about what can be achieved. The paper uses evidence and experience drawn from those working in this field to suggest a strategic vision in which the management of e-learning resources is productive, efficient and meets the needs of both tutors and their students.

Lexical and nonlexical processing in developmental dyslexia: a case for different resources and different impairments

In a group of adult dyslexics word reading and, especially, word spelling are predicted more by what we have called lexical learning (tapped by a paired-associate task with pictures and written nonwords) than by phonological skills. Nonword reading and spelling, instead, are not associated with this task but they are predicted by phonological tasks. Consistently, surface and phonological dyslexics show opposite profiles on lexical learning and phonological tasks. The phonological dyslexics are more impaired on the phonological tasks, while the surface dyslexics are equally or more impaired on the lexical learning tasks. Finally, orthographic lexical learning explains more variation in spelling than in reading, and subtyping based on spelling returns more interpretable results than that based on reading. These results suggest that the quality of lexical representations is crucial to adult literacy skills. This is best measured by spelling and best predicted by a task of lexical learning. We hypothesize that lexical learning taps a uniquely human capacity to form new representations by recombining the units of a restricted set.

Ethnic diversity as a multilevel construct:the combined effects of dissimilarity, group diversity, and societal status on learning performance in work groups

The authors present a model of the multilevel effects of diversity on individual learning performance in work groups. For ethnically diverse work groups, the model predicts that group diversity elicits either positive or negative effects on individual learning performance, depending on whether a focal individual’s ethnic dissimilarity from other group members is high or low. By further considering the societal status of an individual’s ethnic origin within society (Anglo versus non-Anglo for our U.K. context), the authors hypothesize that the model’s predictions hold more strongly for non-Anglo group members than for Anglo group members. We test this model with data from 412 individuals working on a 24-week business simulation in 87 four- to seven-person groups with varying degrees of ethnic diversity. Two of the three hypotheses derived from the model received full support and one hypothesis received partial support. Implications for theory development, methods, and practice in applied group diversity research are discussed.

Clinical pharmacy:post-registration learning trends of community pharmacists

While CPD is now a mandatory requirement for Australian pharmacists, there has been little research to identify preferred learning resources, or barriers and motivators for continuing education and CPD participation. This study aimed to identify post-registration learning trends of community pharmacists in western Australia, as well as their opinions on post-registration learning.

Communities and emerging semantics in semantic link network:discovery and learning

The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the Semantic Link Network (SLN), a loosely coupled semantic data model that can semantically link resources and derive out implicit semantic links according to a set of relational reasoning rules. By studying the intrinsic relationship between semantic communities and the semantic space of SLN, approaches to discovering reasoning-constraint, rule-constraint, and classification-constraint semantic communities are proposed. Further, the approaches, principles, and strategies for discovering emerging semantics in dynamic SLNs are studied. The basic laws of the semantic link network motion are revealed for the first time. An e-learning environment incorporating the proposed approaches, principles, and strategies to support effective discovery and learning is suggested.

E-learning

E-learning means learning via electronic means and is therefore an all-embracing term covering learning via an electronic device. The "expectations" and "realities" for each of the delivery mechanisms within the electronic arena vary greatly for not just the learners themselves, but also the site providers. Because of this, each of these learning systems has vastly different design principles, which is not always understood by those unfamiliar with technology. What is appropriate for a CD-ROM off-line system is generally inappropriate for an on- line internet system. So when designing an e-learning system it is important to understand how the information is to be accessed by the learner. This paper will identify and suggest some ways to avoid e-learning's pitfalls and reap its rewards.

The evolution of learning systems:to Bayes or not to be

Bayesian algorithms pose a limit to the performance learning algorithms can achieve. Natural selection should guide the evolution of information processing systems towards those limits. What can we learn from this evolution and what properties do the intermediate stages have? While this question is too general to permit any answer, progress can be made by restricting the class of information processing systems under study. We present analytical and numerical results for the evolution of on-line algorithms for learning from examples for neural network classifiers, which might include or not a hidden layer. The analytical results are obtained by solving a variational problem to determine the learning algorithm that leads to maximum generalization ability. Simulations using evolutionary programming, for programs that implement learning algorithms, confirm and expand the results. The principal result is not just that the evolution is towards a Bayesian limit. Indeed it is essentially reached. In addition we find that evolution is driven by the discovery of useful structures or combinations of variables and operators. In different runs the temporal order of the discovery of such combinations is unique. The main result is that combinations that signal the surprise brought by an example arise always before combinations that serve to gauge the performance of the learning algorithm. This latter structures can be used to implement annealing schedules. The temporal ordering can be understood analytically as well by doing the functional optimization in restricted functional spaces. We also show that there is data suggesting that the appearance of these traits also follows the same temporal ordering in biological systems. © 2006 American Institute of Physics.

The impact of pre -training interventions on cognitive, skill, and affective learning outcomes: A meta -analytic examination of four decades of research

Technological advancements and the ever-evolving demands of a global marketplace may have changed the way in which training is designed, implemented, and even managed, but the ultimate goal of organizational training programs remains the same: to facilitate learning of a knowledge, skill, or other outcome that will yield improvement in employee performance on the job and within the organization (Colquitt, LePine, & Noe, 2000; Tannenbaum & Yukl, 1992). Studies of organizational training have suggested medium to large effect sizes for the impact of training on employee learning (e.g., Arthur, Bennett, Edens, & Bell, 2003; Burke & Day, 1986). However, learning may be differentially affected by such factors as the (1) level and type of preparation provided prior to training, (2) targeted learning outcome, (3) training methods employed, and (4) content and goals of training (e.g., Baldwin & Ford, 1988). A variety of pre-training interventions have been identified as having the potential to enhance learning from training and practice (Cannon-Bowers, Rhodenizer, Salas, & Bowers, 1998). Numerous individual studies have been conducted examining the impact of one or more of these pre-training interventions on learning. ^ I conducted a meta-analytic examination of the effect of these pre-training interventions on cognitive, skill, and affective learning. Results compiled from 359 independent studies (total N = 37,038) reveal consistent positive effects for the role of pre-training interventions in enhancing learning. In most cases, the provision of a pre-training intervention explained approximately 5–10% of the variance in learning, and in some cases, explained up to 40–50% of variance in learning. Overall attentional advice and meta-cognitive strategies (as compared with advance organizers, goal orientation, and preparatory information) seem to result in the most consistent learning gains. Discussion focuses on the most beneficial match between an intervention and the learning outcome of interest, the most effective format of these interventions, and the most appropriate circumstances under which these interventions should be utilized. Also highlighted are the implications of these results for practice, as well as propositions for important avenues for future research. ^

Preceptoria em profissionais de saúde: viabilizando meios para uma formação pedagógica em hospitais públicos em Natal-RN

This study aimed to construct and carry out a distance course of pedagogical training for health professional performing preceptorship functions in public health institutions. The preceptorship in health is a pedagogical practice that occurs in workplace, led by assistance professionals with teaching position or not, where the vast majority of these acts intuitively, reproducing their own training, confusing transmitting information with education. These preceptors often do not dominate the pedagogical knowledge, necessary for the organization of training activities, such as the various teaching-learning processes and the different assessment types. Student supervision is essential in the training process of students in the health field, and on the occasion of supervised internships that the teaching-learning process is based on practical experience with participation in real life situations and professional work. It was realized an exploratory study, descriptive with qualitative approach, with the development of tutoring teaching course in health as final product. Applied semi structured research instrument from may to july 2014. It were evaluated 162 health professionals who perform the preceptorship, which made it possible define the preceptor's profile and identify the educational requirements related to the educational process, which justified the construction of the program content and the professionals’ perception analysis about preceptorship through identification of three categories: clinic knowledge valuation; valuation of professional orientation and valuation of professional future. The course was available on distance mode through Moodle platform with forty hours of work load from October to November 2014. With the aim of capacitate the health professionals to development of necessary abilities and skills to tutoring performance through thoughts about tutoring concepts, professional training within the curricular guidelines and SUS precepts, the role of health professionals as educators, application of active teaching methodologies, and evaluation methods. The applications were done online through the provided link; 300 vacancies offered, 243 professionals applied, chosen 134 that works on tutoring, where 49 represented professionals that works on the location of the study. The course lasted 45 days, and counted with tutors responsible to interact and evaluate the students. 28 professionals joined the course, 12 concluded. Opportunities were identified to stimulate the involvement, however the professionals’ satisfaction shows that, make an investment on tutors education, starting from the Permanent Education precepts, will provide a bigger appropriation of the knowledge to the education and therefore the awareness of their role as an educator on work ambit, proportioning essential tools to tutors act while enabler of integration between theory and practice and result better teaching-learning process.

The development of a self-directed learning module for rural emergency nurses on pediatric diabetic ketoacidosis

Background: Newfoundland and Labrador has a high incidence of type 1 diabetes and diabetic ketoacidosis (DKA) is a complication of type 1 diabetes. A clinical practice guideline was developed for the treatment of pediatric diabetic ketoacidosis (DKA) to standardize care in all Emergency Departments and improve patient outcomes. Rural emergency nurses are requires to maintain their competency and acquire new knowledge as stated by the Association of Registered Nurses of Newfoundland and Labrador (ARNNL). Purpose: The purpose of this practicum was to develop a self-learning module for rural emergency nurses to increase their knowledge and understanding of the clinical practise guideline to assess, treat, and prevent pediatric ketoacidosis. Methods: Two methodologies were used in this practicum. A review of the literature and consultations with key stakeholders were completed. Results: The self-learning module created was composed of three units and focused on the learning needs of rural emergency nurses in the areas of assessment, treatment, and prevention of pediatric DKA. Conclusion: The goal of the practicum was to increase rural emergency nurses’ knowledge and implementation of the clinical practice guideline when assessing and treating children and families experiencing DKA to improve patient outcomes. A planned evaluation of the self-learning module will be conducted following dissemination of the module throughout the rural Emergency Departments.