867 resultados para Learning Course Model
Resumo:
The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. © 2010 Elsevier Ltd.
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Many nations are highlighting the need for a renaissance in the mathematical sciences as essential to the well-being of all citizens (e.g., Australian Academy of Science, 2006; 2010; The National Academies, 2009). Indeed, the first recommendation of The National Academies’ Rising Above the Storm (2007) was to vastly improve K–12 science and mathematics education. The subsequent report, Rising Above the Gathering Storm Two Years Later (2009), highlighted again the need to target mathematics and science from the earliest years of schooling: “It takes years or decades to build the capability to have a society that depends on science and technology . . . You need to generate the scientists and engineers, starting in elementary and middle school” (p. 9). Such pleas reflect the rapidly changing nature of problem solving and reasoning needed in today’s world, beyond the classroom. As The National Academies (2009) reported, “Today the problems are more complex than they were in the 1950s, and more global. They’ll require a new educated workforce, one that is more open, collaborative, and cross-disciplinary” (p. 19). The implications for the problem solving experiences we implement in schools are far-reaching. In this chapter, I consider problem solving and modelling in the primary school, beginning with the need to rethink the experiences we provide in the early years. I argue for a greater awareness of the learning potential of young children and the need to provide stimulating learning environments. I then focus on data modelling as a powerful means of advancing children’s statistical reasoning abilities, which they increasingly need as they navigate their data-drenched world.
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Most previous work on artificial curiosity (AC) and intrinsic motivation focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical system with one or two degrees of freedom. To study AC in a more realistic setting, we embody a curious agent in the complex iCub humanoid robot. Our novel reinforcement learning (RL) framework consists of a state-of-the-art, low-level, reactive control layer, which controls the iCub while respecting constraints, and a high-level curious agent, which explores the iCub's state-action space through information gain maximization, learning a world model from experience, controlling the actual iCub hardware in real-time. To the best of our knowledge, this is the first ever embodied, curious agent for real-time motion planning on a humanoid. We demonstrate that it can learn compact Markov models to represent large regions of the iCub's configuration space, and that the iCub explores intelligently, showing interest in its physical constraints as well as in objects it finds in its environment.
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Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promising technique, which can consequently reduce the tedious manual classification process. Existing works focus on using Naive Bayes which does not always offer the best performance. This paper proposes the Matrix Factorization approaches along with a learning enhancement process for this task. The results are compared with the performance of various other classification approaches. The impact on the classification results from the parameters setting during the classification of a medical text dataset is discussed. With the selection of right dimension k, Non Negative Matrix Factorization-model method achieves 10 CV accuracy of 0.93.
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Those who teach film and media need to use screen content to illustrate their subjects. For example, students want illustrations to accompany lectures on film or television genres. Our experience has been that student access to the film and television screen content underpinning a study of genres is not only desirable but is, in fact, crucial for effective teaching and learning outcomes. Not so long ago, a screening during or at the completion of a lecture was the expected method by which educators delivered screen content to illustrate their teaching. Even if student attendance fluctuated from week to week a quick head count confirmed that a certain number of students were physically present. It was assumed that this physical attendance encouraged students to reflect upon and contextualize the material post lecture. While simply attending a lecture will not translate into actual student learning, it does demonstrate a willingness by students to engage with the course content by making a commitment to attend a scheduled and recurring lecture and screening program. However, as flipped classroom models gain acceptance in educational institutions, this traditional lecture-screening model is giving way to online, off-site, and student-controlled mechanisms for screen content delivery and viewing. Nevertheless, care should be taken when assessing how online delivery translates into student engagement and learning. As Junco (2012) points out, “it’s not the technology that generates learning, but the ways in which the technology are used.” Discussed, debated, and embraced to varying degrees by educators, there remains no definitive model for the flipped classroom – although many models involve ‘flipping’ content and knowledge acquisition (including viewing films and television shows) from scheduled on-campus classes to online material viewed by students in advance of an on-campus lecture or class. The classroom or tutorial room then becomes a space to problem-solve, engage in collaborate learning, and advance and explain concepts. From an institutional perspective, the flipped classroom model could deliver an additional benefit beyond immediate pedagogical concerns. Tucker (2012) suggests through the flipped classroom model “all aspects of instruction can be rethought to best maximize the scarcest learning resource — time.” The narrative most often associated with this shift is that the move to online content delivery of lecture and cinematic / televisual material may also provide educators with more time to do other work such as engage in research, plan strategies to empower students. Experimentation with the flipped classroom model is playing out in various educational institutions. Yet several core concerns remain — one of these concerns is the crucial question of whether an online/digital flipped approach is more effective for student engagement and learning than the traditional lecture-screening mode for screen content delivery. Some urge caution in this regard, arguing that “new technology isn’t always supported by change management and professional development to ensure that digital isn’t just a goal within itself, but actually helps to transform education” (Fleming cited in Blain 2014). The most fundamental concern remains how do lecturers, instructors, and tutors know students have watched the films and television shows associated with a subject? The remainder of this discussion deals with these concerns, and possible solutions offered, through an analysis of the Film, Television and Screen Genres subject at the Queensland University of Technology (QUT) in Brisbane, Queensland.
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School curriculum change processes have traditionally been managed internally. However, in Queensland, Australia, as a response to the current high-stakes accountability regime, more and more principals are outsourcing this work to external change agents (ECAs). In 2009, one of the authors (a university lecturer and ECA) developed a curriculum change model (the Controlled Rapid Approach to Curriculum Change (CRACC)), specifically outlining the involvement of an ECA in the initiation phase of a school’s curriculum change process. The purpose of this paper is to extend the CRACC model by unpacking the implementation phase, drawing on data from a pilot study of a single school. Interview responses revealed that during the implementation phase, teachers wanted to be kept informed of the wider educational context; use data to constantly track students; relate pedagogical practices to testing practices; share information between departments and professional levels; and, own whole school performance. It is suggested that the findings would be transferable to other school settings and internal leadership of curriculum change. The paper also strikes a chord of concern – Do the responses from teachers operating in such an accountability regime live their professional lives within this corporate and globalised ideology whether they want to or not?
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Discounted Cumulative Gain (DCG) is a well-known ranking evaluation measure for models built with multiple relevance graded data. By handling tagging data used in recommendation systems as an ordinal relevance set of {negative,null,positive}, we propose to build a DCG based recommendation model. We present an efficient and novel learning-to-rank method by optimizing DCG for a recommendation model using the tagging data interpretation scheme. Evaluating the proposed method on real-world datasets, we demonstrate that the method is scalable and outperforms the benchmarking methods by generating a quality top-N item recommendation list.
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This project investigates the integration of Information Communication Technologies (ICTs) into educational settings by closely looking at the uptake of the perceived affordances offered by ICTs by students enrolled in a French language course at Queensland University of Technology. This cross-disciplinary research uses the theoretical concepts of: Ecological Psychology (Gibson, 1979; Good, 2007; Reed, 1996); Ecological Linguistics (Greeno, 1994; Leather & van Dam, 2003; van Lier 2000, 2003, 2004a, 2004b); Design (Norman, 1988, 1999); Software Design/ Human-Computer Interaction (Hartson, 2003; McGrenere & Ho, 2000); Learning Design (Conole & Dyke, 2004a, 2004b; Laurillard et al. 2000;); Education (Kirschner, 2002; Salomon, 1993; Wijekumar et al., 2006) and Educational Psychology (Greeno, 1994). In order to investigate this subject, the following research questions, rooted in the theoretical foundations of the thesis, were formulated: (1) What are the learners’ attitudes towards the ICT tools used in the project?; (2) What are the affordances offered by ICTs used in a specific French language course at university level from the perspective of the teacher and from the perspective of language learners?; (3) What affordances offered by ICT tools used by the teacher within the specific teaching and learning environment have been taken up by learners?; and (4) What factors influence the uptake by learners of the affordances created by ICT tools used by the teacher within the specific teaching and learning environment? The teaching phase of this project, conducted between 2006 and 2008, used Action Research procedures (Hopkins, 2002; McNiff & Whitehead, 2002; van Lier 1994) as a research framework. The data were collected using the following combination of qualitative and quantitative methods: (1) questionnaires administered to students (Hopkins, 2002; McNiff & Whitehead, 2002) using Likert-scale questions, open questions, yes/no questions; (2) partnership classroom observations of research participants conducted by Research Participant Advocates (Hopkins, 2002; McNiff & Whitehead, 2002); and (3) a focus group with volunteering students who participated in the unit (semi-structured interview) (Hopkins, 2002; McNiff & Whitehead, 2002). The data analysis confirms the importance of a careful examination of the teaching and learning environment and reveals differences in the ways in which the opportunities for an action offered by the ICTs were perceived by teacher and students, which impacted on the uptake of affordances. The author applied the model of affordance, as described by Good (2007), to explain these differences and to investigate their consequences. In conclusion, the teacher-researcher considers that the discrepancies in perceiving the affordances result from the disparities between the frames of reference and the functional contexts of the teacher-researcher and students. Based on the results of the data analysis, a series of recommendations is formulated supporting calls for careful analysis of frames of reference and the functional contexts of all participants in the learning and teaching process. The author also suggests a modified model of affordance, outlining the important characteristics of its constituents.
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QUT has enacted a university-wide Peer Program’s Strategy which aims to improve student success and graduate outcomes. A component of this strategy is a training model providing relevant, quality-assured and timely training for all students who take on leadership roles. The training model is designed to meet the needs of the growing scale and variety of peer programs, and to recognise the multiple roles and programs in which students may be involved during their peer leader journey. The model builds peer leader capacity by offering centralised, beginning and ongoing training modules, delivered by in-house providers, covering topics which prepare students to perform their role safely, inclusively, accountably and skilfully. The model also provides efficiencies by differentiating between ‘core competency' and ‘program-specific’ modules, thus avoiding training duplication across multiple programs, and enabling training to be individually and flexibly formatted to suit the specific and unique needs of each program.
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Reflective thinking is an important skill in psychology, both as a tool in the therapeutic process and in professional development. The adapted 4Rs Model provides reflective writing structure and highlights the importance of Reporting & Responding, Relating, Reasoning and Reconstructing to students who are new to writing reflections. This chapter presents a case in which the 4Rs model (modified from the 5Rs model in Chap. 2 of this edition) was adopted to support reflective writing skills of undergraduate psychology students in a first year unit and in a final year unit. Although all students reflected on their learning within the units, the support activities leading up to the reflective tasks were adjusted to account for differences in the abilities of the cohorts and the focus of the units. In an evaluation survey, both groups of students endorsed statements about the importance of reflections and the utility of using the model. First year students also reported some difficulties understanding the 4Rs. This chapter will explore how first and final year students can be supported to develop reflection skills through scaffolding and modification of the same approaches and model.
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This qualitative study investigates English as Foreign Language (EFL) teachers' perceptions and practices of blended learning in a Vietnamese university and influencing factors. Findings revealed that teachers have limited understandings and use of blended learning due to three primary influential factors: (i) the traditional teacher-centred pedagogy, (ii) institutional management and leadership styles, and (iii) fragmented knowledge of technological, pedagogical, and content knowledge (TPACK) for blended learning. To improve the take up and potential benefits of blended learning in EFL education in Vietnamese universities, this study proposes (i) a systematic understanding of blended learning concepts, (ii) a localised TPACK framework, and (iii) a model of teacher professional development program.
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This paper reflects on a 2008 project in which a teacher invited two parents1 of students in his class to coteach with him on the topic of War and Refugees (Willis, 2013). Although the project occurred in a Year eight context, it has utility for all teachers in showing how the four resources model (FRM) (Freebody and Luke, 1990) of language and literacy teaching and learning may provide a viewing platform for seeing the benefits and potential of coteaching for parent-school-community engagement. For decades, governments nationally and internationally have actively supported parentschool- community involvement initiatives. In Australia, these include the establishment in 2008 of The Family-School and Community Partnerships Bureau and its recent publication, Parental engagement in learning and schooling: Lessons from research (Emerson, Fear, Fox, and Sanders, 2012). These initiatives derive from strong, consistent research evidence that parent involvement in schools not only benefits students, teachers, and schools but also has wide-ranging implications for education reform, employers and communities, and ultimately Australia's future economic prosperity. These initiatives also continue to inform the Australian Institute for Teaching and School Leadership (AITSL) in identifying ways teachers and school leaders can generate and sustain professional engagement with colleagues, parents, and the community to meet new national teaching standards.
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Australia’s governance arrangements for NRM have evolved considerably over the last thirty years. The impact of changes in governance on NRM planning and delivery requires assessment. We undertake a multi-method program evaluation using adaptive governance principles as an analytical frame and apply this to Queensland to assess the impacts of governance change on NRM planning and governance outcomes. Data to inform our analysis includes: 1) a systematic review of sixteen audits/evaluations of Australian NRM over a fifteen-year period; 2) a review of Queensland’s first generation NRM Plans; and 3) outputs from a Queensland workshop on NRM planning. NRM has progressed from a bottom-up grassroots movement into a collaborative regional NRM model that has been centralised by the Australian Government. We found that while some adaptive governance challenges have been addressed, others remained unresolved. Results show that collaboration and elements of multi-level governance under the regional model were positive moves, but also that NRM arrangements contained structural deficiencies across multiple governance levels in relation to public involvement in decision-making and knowledge production for problem responsiveness. These problems for adaptive governance have been exacerbated since 2008. We conclude that the adaptive governance framework for NRM needs urgent attention so that important environmental management problems can be addressed.
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In this chapter we use Bernstein’s (2000) model of pedagogic rights to examine the learning experiences for non-Indigenous teachers in two reconciliation projects. In the context within which we write, reconciliation is the process of establishing a culture of mutual respect between Aboriginal and Torres Strait Islander peoples and non-Indigenous Australians. In 1991, the Royal Commission into Aboriginal Deaths in Custody linked the continuation of racism in Australian society to the weak coverage of Aboriginal and Torres Strait Islander content in the school curriculum (Reconciliation Australia 2010). Nearly two decades later, the Melbourne Declaration on Educational Goals for Young Australians issued by the council of Federal, State and Territory Ministers of Education proclaimed that curriculum should enable all students to ‘understand and acknowledge the value of Indigenous cultures and possess the knowledge, skills and understanding to contribute to, and benefit from reconciliation between Indigenous and non-Indigenous Australians’ (MCEETYA 2008, 9). Education holds out promise not only of better life chances for Indigenous young people, but also of replacing myths with understanding and tackling prejudice and racism within the non-Indigenous population. Bernstein’s (2000) model of pedagogic rights promises some purchase on this pedagogic work by providing concepts for looking systematically at the participation of non-Indigenous teachers in education. As observed by Frandji and Vitale (Chapter 2, this volume), the model is not sufficient to achieve a democratic reality, ‘but simply provides a basis for problematizing reality and considering possibilities’.
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Prolonged maternal deprivation leads to long-term alterations in hypothalamic–pituitary–adrenal (HPA) axis activity, disturbances of auditory information processing and neurochemical changes in the adult brain, some of which are similar to that observed in schizophrenia. Here we report the adult behavioural effects of maternal deprivation (12 h on postnatal days 9 and 11) in Wistar rats on paradigms of auditory information processing (prepulse inhibition), sensitivity to dopamimetics (amphetamine-induced hyper-locomotion) and cognition (T-maze delayed alternation and Morris water-maze). In addition, we examined the long-lasting effect of chronic 21-day corticosterone treatment during the post-pubertal period (i.e., postnatal days 56–76) on each of these behavioural paradigms in maternally deprived and control rats. Behavioural testing commenced 2 weeks after the termination of corticosterone treatment. Maternal deprivation led to a significant reduction in PPI and impaired spatial learning ability in adulthood, but did not affect the behavioural response to amphetamine. Post-pubertal chronic corticosterone treatment did not have any major long-lasting effects on any of the behavioural measures in either maternally deprived or control rats. Our findings further support maternal deprivation as an animal model of specific aspects of schizophrenia.