970 resultados para Learning Conditions
Resumo:
This paper commences with themes discussed in two papers, “An
assessment strategy to help forestall plagiarism problems” (Kennedy,
2004) concerning how assessment strategies can be structured to
minimise plagiarism and “Paradigm shift: From traditional to on-line
education” (Gallie & Joubert, 2004) concerning the shifting focus
between teacher-centred and student-centred learning. The themes
raised are examined from the perspective of post-graduate course
delivery to predominantly international students within the context of
recognition of the specific needs of the student body. The themes are
then extended by considering the outcomes of a case study that
adapted methods of assessment with a view to improving outcomes
and reducing plagiarism and cheating.
Resumo:
In recent years changes in policy, the spate of amalgamations of tertiary institutions, changes in secondary education and the move in institutions toward intemationalisation, have led to a diversification of student populations in Australian universities. One response to these changes has been the expansion of the provision of student learning support within universities. This study examined the models of such support in Victorian universities. The location of support units, sources of funding, communication between different units at the same institution and staff conditions were identified as core issues in how learning support is delivered. A suggested model for delivery of learning support is proposed.
Resumo:
Most universities worldwide are becoming distance education providers through adopting web-based learning and teaching via the introduction of learning management systems that enable them to open their courses to both on- and off-campus students. Whether this is an effective introduction depends on factors that enable and impede the adoption of such systems and their related pedagogical strategies. This study examines such factors related to adopting a learning management system in a large multicampus urban Australian university. The research method used case study approaches and purposively selected the sample consisting of innovative teaching academics from across the university, who used web-based approaches to teach both on- and off-campus learners. The data were analyzed using a combination of Rogers' theory of diffusion of innovations and actor-network theory and revealed a series of enabling and impeding factors faced by pioneering technology-adopter teaching academics, some of which are technology related while others are policy related and common to large multicampus institutions. The study found that safe adoption environments recognizing career priorities of academics are a result of the continuous negotiation between the evolving institution and its innovative and creative staff. The article concludes with a series of conditions that would form a safe, enabling, and encouraging environment for technology-adopter teaching academics in a large multicampus higher education setting.
Resumo:
There is ample evidence that in many countries school science is in difficulty, with declining student attitudes and uptake of science. This presentation argues that a key to addressing the problem lies in transforming teachers’ classroom practice, and that pedagogical innovation is best supported within a school context. Evidence for effective change will draw on the School Innovation in Science (SIS) initiative in Victoria, which has developed and evaluated a model to improve science teaching and learning across a school system. The model involves a framework for describing effective teaching and learning, and a strategy that allows schools flexibility to develop their practice to suit local conditions and to maintain ownership of the change process. SIS has proved successful in improving science teaching and learning in primary and secondary schools. Experience from SIS and related projects, from a national Australian science and literacy project, and from system wide science initiatives in Europe, will be used to explore the factors that affect the success and the path of innovation in schools.
Resumo:
In this paper we argue for an approach to professional development which supports teachers to engage in sustained intellectual inquiry and to investigate the conditions in their classrooms that might make a difference for students at risk of not succeeding at school. We focus on the work of one primary school teacher involved in the research project Teachers investigate unequal outcomes in literacy: Cross generational perspectives and explore the effects that redesigning her literacy curriculum had on her professional identity and the literacy outcomes for one of the children in her class. We suggest that the principles of building theory and practice, positioning teachers as agentive, and making a space for teachers to bring new – and renewed – professional knowledge to their work are principles of practice that energise and sustain teachers and their day-to-day classroom work. Such principles deserve attention, particularly at a time when teacher quality and professional standards are in the minds of policy makers.
Resumo:
This book is focused on ten action research and evaluative case studies in environmental education carried out by teacher educators and teachers. The case studies range across five European countries: Austria, Hungary, Italy, Sweden and Switzerland. They are followed by cross-case comparisons which explore issues emerging from the documented reflective practice: aims of environmental education in the educational policy context of the countries, their relationship to the disciplines and the traditional knowledge transmission position, the role of action research approaches for innovation and reflection, and institutional conditions of collaboration in teacher education. This international case study project is research based in adopting professional development approaches that are informed by action research principles. It represents examples of innovation that challenge established practice in schools and teacher education institutions. It provides study material for all who attempt to describe, change and improve their own education practices and who want to adopt an action research approach to professional or program development.
Resumo:
This collection of ground-breaking international essays address the educational, social, work and biographical experiences of young women who are routinely constructed as ‘at risk’ and on the margins. Drawing on research from an international range of scholars, this book brings together important new perspectives on the gendered dimensions of social exclusion and educational marginalisation.
Resumo:
In Victoria, Australia, the potential of networks to respond to issues of risk for young people has been identified. Learning networks have become a means to reform resulting in a number of policy strategies by the Victorian Labour government since 2000 and including School Networks and Local Learning and Employment Networks (LLENs). At the same time organic learning networks continue to form at a ‘grass roots’ level as communities respond to perceived needs. This presentation draws on research into the foundation, formation and practice of the Smart Geelong Region Local Learning and Employment Network (SGR LLEN) and considers the opportunities and tensions when government policies take up and institutionalise solutions in ways that potentially work against the conditions that make them effective, viable and sustainable.
Resumo:
The eigenvector associated with the smallest eigenvalue of the autocorrelation matrix of input signals is called minor component. Minor component analysis (MCA) is a statistical approach for extracting minor component from input signals and has been applied in many fields of signal processing and data analysis. In this letter, we propose a neural networks learning algorithm for estimating adaptively minor component from input signals. Dynamics of the proposed algorithm are analyzed via a deterministic discrete time (DDT) method. Some sufficient conditions are obtained to guarantee convergence of the proposed algorithm.
Resumo:
The stability of minor component analysis (MCA) learning algorithms is an important problem in many signal processing applications. In this paper, we propose an effective MCA learning algorithm that can offer better stability. The dynamics of the proposed algorithm are analyzed via a corresponding deterministic discrete time (DDT) system. It is proven that if the learning rate satisfies some mild conditions, almost all trajectories of the DDT system starting from points in an invariant set are bounded, and will converge to the minor component of the autocorrelation matrix of the input data. Simulation results will be furnished to illustrate the theoretical results achieved.
Resumo:
Minor component analysis (MCA) is an important statistical tool for signal processing and data analysis. Neural networks can be used to extract online minor component from input data. Compared with traditional algebraic approaches, a neural network method has a lower computational complexity. Stability of neural networks learning algorithms is crucial to practical applications. In this paper, we propose a stable MCA neural networks learning algorithm, which has a more satisfactory numerical stability than some existing MCA algorithms. Dynamical behaviors of the proposed algorithm are analyzed via deterministic discrete time (DDT) method and the conditions are obtained to guarantee convergence. Simulations are carried out to illustrate the theoretical results achieved.
Resumo:
There usually exist many kinds of variations in face images taken under uncontrolled conditions, such as changes of pose, illumination, expression, etc. Most previous works on face recognition (FR) focus on particular variations and usually assume the absence of others. Instead of such a ldquodivide and conquerrdquo strategy, this paper attempts to directly address face recognition under uncontrolled conditions. The key is the individual stable space (ISS), which only expresses personal characteristics. A neural network named ISNN is proposed to map a raw face image into the ISS. After that, three ISS-based algorithms are designed for FR under uncontrolled conditions. There are no restrictions for the images fed into these algorithms. Moreover, unlike many other FR techniques, they do not require any extra training information, such as the view angle. These advantages make them practical to implement under uncontrolled conditions. The proposed algorithms are tested on three large face databases with vast variations and achieve superior performance compared with other 12 existing FR techniques.
Resumo:
There is now significant evidence that school and leadership redesign is necessary in order to achieve more socially just educational futures for all students and a productive and professionally rewarding environment for teachers. Redesign requires some fundamental shifts in how schools work; engagement with and through learning communities based on systematic critical inquiry; and inclusive leadership practices that address the complexities of the relationships between diversity, culture, gender and race in schooling. I argue that democratic leadership is most conducive to initiating and sustaining equitable outcomes. The article concludes with consideration of principles that could sustain leadership for social justice.
Resumo:
This paper reports a study aimed at revealing special-educational-needs pupils' learning potential by means of an ICT-based assessment including a dynamic visual tool that might help pupils when solving mathematics problems. The study focused on subtraction problems up to 100, which require 'borrowing'. These problems, in which the value of the ones-digit of the subtrahend is larger than the ones-digit of the minuend, are known as a serious difficulty for weak pupils in mathematics. Seven of such problems from a standardised test were placed in the ICT environment. Data were collected from two test conditions: the standardised written test format and the ICT version of the test items including the tool that provided pupils with a set of virtual manipulatives. The 37 pupils involved in the study were 8–12 years old and from two special-education schools in the Netherlands. Comparison of the performance scores in the two formats showed that an ICT-based assessment format, including a dynamic visual tool, can reveal weak pupils' learning potential and strategy use. The study also pointed out that 'partial-tool use', ie, not carrying out the complete subtraction operation with the tool, can provide sufficient support to find the correct answer.
Resumo:
This paper will explore the contention that Australian VET may be an environment in which transformative learning can occur, and indicate ways to enhance VET practice in relation to this kind of learning. Mezirow’s theory of transformative learning is surveyed to provide background. Two examples of VET programs are described to show how VET can serve as a context for transformative learning. It is suggested that if there are VET programs that produce conditions favourable to transformative learning, then practitioners working in these areas can enhance their practice through familiarity with the features of transformative learning and ways that have been promoted for the support and facilitation of transformative learning.