359 resultados para articulated motion structure learning
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People with mental health problems, learning difficulties and poor literacy and numeracy are at risk of social exclusion including homelessness. They are often disconnected from the Vocational Education and Training (VET) system, with few opportunities for education and employment. Academic research has demonstrated a link between literacy and numeracy and social inclusion, however, the pathways to enact this are not well understood. This report presents insights into how a community based adult literacy program in West End, Brisbane, was first established and has since evolved into a successful model of what we are calling ‘socially inclusive learning’. The research informing the report was conducted as a twelve-month study from April 2013 to April 2014 funded through a partnership involving Anglicare Southern Queensland, A Place to Belong and the School of Public Health and Social Work, Queensland University of Technology. The research was conducted by Greg Marston and Jeffrey Johnson- Abdelmalik. The aim of the study was to clarify the principles, practice and methodology of the Reading and Writing group (hereafter RAW) and identify the characteristics of RAW that support the social inclusion of the individual being provided literacy learning. The questions guiding the research included: • What are the key principles and practices of the RAW model? • How does the acquisition of literacy and numeracy skills contribute to the recovery of people with mental health and other issues? • How can the acquisition of literacy and numeracy skills support people’s social inclusion, including achieving employment and further education outcomes? A related aim of the project was to document how this community based literacy and numeracy program operates so that other organisations with an interest in addressing similar needs can learn from the model, particularly organisations that co-locate support and education and organisations that adopt a recovery approach when working with people with mental health challenges and intellectual and psychiatric disabilities. The report highlights the background to RAW, the learning philosophy of RAW, the profile of the participants in the program and the various roles and responsibilities and structure that supports the work of RAW. The report presents perspectives from the teachers, student participants and tutors on how the group is designed and the principles implemented.
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Background and Purpose: - This paper focuses on the learning culture within the high performance levels of rowing. In doing so, we explore the case of an individual’s learning as he moves across athletic, coaching and administrative functions. This exploration draws on a cultural learning framework and complementary theorisings related to reflexivity. Method - This study makes use of an intellectually, morally and collaboratively challenging approach whereby one member of the research team was also the sole participant of this study. The participant’s careers as a high performance athlete, coach and administrator, coupled with his experience in conducting empirical research presented a rare opportunity to engage in collaborative research (involving degrees of insider and outsider status for each of the research team). We acknowledge that others have looked to combine roles of coach / athlete / administrator with that of researcher however few (if any) have attempted to combine them all in one project. Moreover, coupled with the approach to reflexivity adopted in this study and the authorship contributions we consider this scholarly direction uncommon. Data were comprised of recorded research conversations, a subsequently constructed learning narrative, reflections on the narrative, a stimulated reflective piece from the participant, and a final (re)construction of the participant’s story. Accordingly, data were integrated through an iterative process of thematic analysis. Results - The cultural (i.e., the ways things get done) and structural (e.g., the rules and regulations) properties of high performance rowing were found to shape both the opportunities to be present (e.g., secure a place in the crew) and to learn (e.g., learn the skills required to perform at an Olympic level). However, the individual’s personal properties were brought to bear on re-shaping the constraints such that many limitations could be overcome. In keeping with the theory of learning cultures, the culture of rowing was found to position individuals (a coxswain in this case) differentially. In a similar manner, a range of structural features was found to be important in shaping the cultural and personal elements in performance contexts. For example, the ‘field of play’ was found to be important as a structural feature (i.e., inability of coach to communicate with athletes) in shaping the cultural and personal elements of learning in competition (e.g., positioning the coxswain as an in-boat coach and trusted crewmate). Finally, the cultural and structural elements in rowing appeared to be activated by the participant’s personal elements, most notably his orientation towards quality performance. Conclusion - The participant in this study was found to be driven by the project that he cares about most and at each turn he has bent his understanding of his sport back on itself to see if he can find opportunities to learn and subsequently explore ways to improve performance. The story here emphasises the importance of learner agency, and this is an aspect that has often been missing in recent theorising about learning. In this study, we find an agent using his ‘personal emergent powers to activate the resources in the culture and structure of his sport in an attempt to improve performance. We conclude from this account that this particular high performance rowing culture is one that provided support but nonetheless encouraged those involved, to ‘figure things out’ for themselves – be it as athletes, coaches and/or administrators.
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Local spatio-temporal features with a Bag-of-visual words model is a popular approach used in human action recognition. Bag-of-features methods suffer from several challenges such as extracting appropriate appearance and motion features from videos, converting extracted features appropriate for classification and designing a suitable classification framework. In this paper we address the problem of efficiently representing the extracted features for classification to improve the overall performance. We introduce two generative supervised topic models, maximum entropy discrimination LDA (MedLDA) and class- specific simplex LDA (css-LDA), to encode the raw features suitable for discriminative SVM based classification. Unsupervised LDA models disconnect topic discovery from the classification task, hence yield poor results compared to the baseline Bag-of-words framework. On the other hand supervised LDA techniques learn the topic structure by considering the class labels and improve the recognition accuracy significantly. MedLDA maximizes likelihood and within class margins using max-margin techniques and yields a sparse highly discriminative topic structure; while in css-LDA separate class specific topics are learned instead of common set of topics across the entire dataset. In our representation first topics are learned and then each video is represented as a topic proportion vector, i.e. it can be comparable to a histogram of topics. Finally SVM classification is done on the learned topic proportion vector. We demonstrate the efficiency of the above two representation techniques through the experiments carried out in two popular datasets. Experimental results demonstrate significantly improved performance compared to the baseline Bag-of-features framework which uses kmeans to construct histogram of words from the feature vectors.
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The discovery of several genes that affect the risk for Alzheimer's disease ignited a worldwide search for single-nucleotide polymorphisms (SNPs), common genetic variants that affect the brain. Genome-wide search of all possible SNP-SNP interactions is challenging and rarely attempted because of the complexity of conducting approximately 1011 pairwise statistical tests. However, recent advances in machine learning, for example, iterative sure independence screening, make it possible to analyze data sets with vastly more predictors than observations. Using an implementation of the sure independence screening algorithm (called EPISIS), we performed a genome-wide interaction analysis testing all possible SNP-SNP interactions affecting regional brain volumes measured on magnetic resonance imaging and mapped using tensor-based morphometry. We identified a significant SNP-SNP interaction between rs1345203 and rs1213205 that explains 1.9% of the variance in temporal lobe volume. We mapped the whole brain, voxelwise effects of the interaction in the Alzheimer's Disease Neuroimaging Initiative data set and separately in an independent replication data set of healthy twins (Queensland Twin Imaging). Each additional loading in the interaction effect was associated with approximately 5% greater brain regional brain volume (a protective effect) in both Alzheimer's Disease Neuroimaging Initiative and Queensland Twin Imaging samples.
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Historically, university students have been the passive recipients of face-to-face instructor designed and led classes (Hudson, 2014; Myers et al., 2011). Technological advancement, however, has provided an opportunity for greater flexibility around educational structure; students are starting to expectmore fromtertiary education providers, specifically around the delivery and provision of education (Myers et al., 2011). For universities to meet the ever-changing needs of the student they need to consider the integration of flexible learning designs into their curricula. The consequent willingness of the faculty to rethink the design and delivery of curricula has seen a recent shift in the design and delivery of education. As universities strive to promote student engagement, active learning, and communities of enquiry, they are moving progressively towards flexible learning models, virtual interaction and student centric curricula (Heise and Himes, 2010; Hsu and Hsieh, 2011). The challenge this shift creates is how to best engage students throughout their studies in order to produce graduates with the skills necessary for societal and professional sustainability (Castle and McGuire, 2010). Despite a wealth of literature addressing this topic, there is a paucity of substantive, conclusive outcomes as to the efficacy of its full implementation and potential for producing capable learners. This integrative review therefore aims to inform curriculum delivery that is flexible, student centric and scaffolds learning. It also aims to identify whether this approach assists in the development of metacognitive learners.
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Within online learning communities, receiving timely and meaningful insights into the quality of learning activities is an important part of an effective educational experience. Commonly adopted methods – such as the Community of Inquiry framework – rely on manual coding of online discussion transcripts, which is a costly and time consuming process. There are several efforts underway to enable the automated classification of online discussion messages using supervised machine learning, which would enable the real-time analysis of interactions occurring within online learning communities. This paper investigates the importance of incorporating features that utilise the structure of on-line discussions for the classification of "cognitive presence" – the central dimension of the Community of Inquiry framework focusing on the quality of students' critical thinking within online learning communities. We implemented a Conditional Random Field classification solution, which incorporates structural features that may be useful in increasing classification performance over other implementations. Our approach leads to an improvement in classification accuracy of 5.8% over current existing techniques when tested on the same dataset, with a precision and recall of 0.630 and 0.504 respectively.
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Early Childhood Education (ECE) has a long history of building foundations for children to achieve their full potential, enabling parents to participate in the economy while children are cared for, addressing poverty and disadvantage, and building individual, community and societal resources. In so doing, ECE has developed a set of cultural practices and ways of knowing that shape the field and the people who work within it. ECE, consequently, is frequently described as unique and special (Moss, 2006; Penn, 2011). This works to define and distinguish the field while, simultaneously, insulating it from other contexts, professions, and ideas. Recognising this dualism illuminates some of the risks and challenges of operating in an insular and isolated fashion. In the 21st century, there are new challenges for children, families and societies to which ECE must respond if it is to continue to be relevant. One major issue is how ECE contributes to transition towards more sustainable ways of living. Addressing this contemporary social problem is one from which Early Childhood teacher education has been largely absent (Davis & Elliott, 2014), despite the well recognised but often ignored role of education in contributing to sustainability. Because of its complexity, sustainability is sometimes referred to as a ‘wicked problem’ (Rittel & Webber, 1973; Australian Public Service Commission, 2007) requiring alternatives to ‘business as usual’ problem solving approaches. In this chapter, we propose that addressing such problems alongside disciplines other than Education enables the Early Childhood profession to have its eyes opened to new ways of thinking about our work, potentially liberating us from the limitations of our “unique” and idiosyncratic professional cultures. In our chapter, we focus on understandings of culture and diversity, looking to broaden these by exploring the different ‘cultures’ of the specialist fields of ECE and Design (in this project, we worked with students studying Architecture, Industrial Design, Landscape Architecture and Interior Design). We define culture not as it is typically represented, i.e. in relation to ideas and customs of particular ethnic and language groups, but to the ideas and practices of people working in different disciplines and professions. We assert that different specialisms have their own ‘cultural’ practices. Further, we propose that this kind of theoretical work helps us to reconsider ways in which ECE might be reframed and broadened to meet new challenges such as sustainability and as yet unknown future challenges and possibilities. We explore these matters by turning to preservice Early Childhood teacher education (in Australia) as a context in which traditional views of culture and diversity might be reconstructed. We are looking to push our specialist knowledge boundaries and to extend both preservice teachers and academics beyond their comfort zones by engaging in innovative interdisciplinary learning and teaching. We describe a case study of preservice Early Childhood teachers and designers working in collaborative teams, intersecting with a ‘real-world’ business partner. The joint learning task was the design of an early learning centre based on sustainable design principles and in which early Education for Sustainability (EfS) would be embedded Data were collected via focus group and individual interviews with students in ECE and Design. Our findings suggest that interdisciplinary teaching and learning holds considerable potential in dismantling taken-for-granted cultural practices, such that professional roles and identities might be reimagined and reconfigured. We conclude the chapter with provocations challenging the ways in which culture and diversity in the field of ECE might be reconsidered within teacher education.
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English is currently ascendant as the language of globalisation, evident in its mediation of interactions and transactions worldwide. For many international students, completion of a degree in English means significant credentialing and increased job prospects. Australian universities are the third largest English-speaking destination for overseas students behind the United States and the United Kingdom. International students comprise one-fifth of the total Australian university population, with 80% coming from Asian countries (ABS, 2010). In this competitive higher education market, English has been identified as a valued ‘good’. Indeed, universities have been critiqued for relentlessly reproducing the “hegemony and homogeneity of English” (Marginson, 2006, p. 37) in order to sustain their advantage in the education market. For international students, English is the gatekeeper to enrolment, the medium of instruction and the mediator of academic success. For these reasons, English is not benign, yet it remains largely taken-for-granted in the mainstream university context. This paper problematises the naturalness of English and reports on a study of an Australian Master of Education course in which English was a focus. The study investigated representations of English as they were articulated across a chain of texts including the university strategic plan, course assessment criteria, student assignments, lecturer feedback, and interviews. Critical Discourse Analysis (CDA) and Foucault’s work on discourse enabled understandings of how a particular English is formed through an apparatus of specifications, exclusionary thresholds, strategies for maintenance (and disruption), and privileged concepts and speaking positions. The findings indicate that English has hegemonic status within the Australian university, with material consequences for students whose proficiency falls outside the thresholds of accepted English practice. Central to the constitution of what counts as English is the relationship of equivalence between standard written English and successful academic writing. International students’ representations of English indicate a discourse that impacts on identities and practices and preoccupies them considerably as they negotiate language and task demands. For the lecturer, there is strategic manoeuvring within the institutional regulative regime to support students’ English language needs using adapted assessment practices, explicit teaching of academic genres and scaffolded classroom interaction. The paper concludes with the implications for university teaching and learning.
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BACKGROUND OR CONTEXT Laboratories provide the physical spaces for engineering students to connect with theory and have a personal hands-on learning experience. Learning space design and development is well established in many universities however laboratories are often not part of that movement. While active, collaborative and group learning pedagogies are all key words in relation to these new spaces the concepts have always been central to laboratory based learning. The opportunity to build on and strengthen good practice in laboratories is immense. In the 2001 review “Universities in Crisis” many references are made to the decline of laboratories. One such comment in the review was made by Professor Ian Chubb (AVCC), who in 2013, as Chief Scientist for Australia, identifies the national concern about STEM education and presents a strategic plan to address the challenges ahead. What has been achieved and changed in engineering teaching and research laboratories in this time? PURPOSE OR GOAL A large number of universities in Australia and New Zealand own laboratory and other infrastructure designed well for the era they were built but now showing signs of their age, unable to meet the needs of today’s students, limiting the effectiveness of learning outcomes and presenting very low utilisation rates. This paper will present a model for new learning space design that improves student experience and engagement, supporting academic aims and significantly raising the space utilisation rate. APPROACH A new approach in laboratory teaching and research including new management has been adopted by the engineering disciplines at QUT. Flexibility is an underpinning principle along with the modularisation of fixed teaching and learning equipment, high utilisation of spaces and dynamic pedagogical approaches. The revitalised laboratories and workshop facilities are used primarily for the engineering disciplines and increasingly for integrated use across many disciplines in the STEM context. The new approach was built upon a base of an integrated faculty structure from 2005 and realised in 2010 as an associated development with the new Science and Engineering Centre (SEC). Evaluation through student feedback surveys for practical activities, utilisation rate statistics and uptake by academic and technical staff indicate a very positive outcome. DISCUSSION Resulting from this implementation has been increased satisfaction by students, creation of social learning and connecting space and an environment that meets the needs and challenges of active, collaborative and group learning pedagogies. Academic staff are supported, technical operations are efficient and laboratories are effectively utilised. RECOMMENDATIONS/IMPLICATIONS/CONCLUSION Future opportunities for continuous improvement are evident in using the student feedback to rectify faults and improve equipment, environment and process. The model is easily articulated and visible to other interested parties to contribute to sector wide development of learning spaces.
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This paper presents an effective feature representation method in the context of activity recognition. Efficient and effective feature representation plays a crucial role not only in activity recognition, but also in a wide range of applications such as motion analysis, tracking, 3D scene understanding etc. In the context of activity recognition, local features are increasingly popular for representing videos because of their simplicity and efficiency. While they achieve state-of-the-art performance with low computational requirements, their performance is still limited for real world applications due to a lack of contextual information and models not being tailored to specific activities. We propose a new activity representation framework to address the shortcomings of the popular, but simple bag-of-words approach. In our framework, first multiple instance SVM (mi-SVM) is used to identify positive features for each action category and the k-means algorithm is used to generate a codebook. Then locality-constrained linear coding is used to encode the features into the generated codebook, followed by spatio-temporal pyramid pooling to convey the spatio-temporal statistics. Finally, an SVM is used to classify the videos. Experiments carried out on two popular datasets with varying complexity demonstrate significant performance improvement over the base-line bag-of-feature method.
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While there is evidence that science and non-science background students display small differences in performance in basic and clinical sciences, early in a 4-year, graduate entry medical program, this lessens with time. With respect to anatomy knowledge, there are no comparable data as to the impact previous anatomy experience has on the student perception of the anatomy practical learning environment. A study survey was designed to evaluate student perception of the anatomy practical program and its impact on student learning, for the initial cohort of a new medical school. The survey comprised 19 statements requiring a response using a 5-point Likert scale, in addition to a free text opportunity to provide opinion of the perceived educational value of the anatomy practical program. The response rate for a total cohort of 82 students was 89%. The anatomy practical program was highly valued by the students in aiding their learning of anatomy, as indicated by the high mean scores for all statements (range: 4.04-4.7). There was a significant difference between the students who had and had not studied a science course prior to entering medicine, with respect to statements that addressed aspects of the course related to its structure, organization, variety of resources, linkage to problem-based learning cases, and fairness of assessment. Nonscience students were more positive compared to those who had studied science before (P levels ranging from 0.004 to 0.035). Students less experienced in anatomy were more challenged in prioritizing core curricular knowledge. © 2011 Wiley-Liss, Inc.
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The mixed double-decker Eu\[Pc(15C5)4](TPP) (1) was obtained by base-catalysed tetramerisation of 4,5-dicyanobenzo-15-crown-5 using the half-sandwich complex Eu(TPP)(acac) (acac = acetylacetonate), generated in situ, as the template. For comparative studies, the mixed triple-decker complexes Eu2\[Pc(15C5)4](TPP)2 (2) and Eu2\[Pc(15C5)4]2(TPP) (3) were also synthesised by the raise-by-one-story method. These mixed ring sandwich complexes were characterised by various spectroscopic methods. Up to four one-electron oxidations and two one-electron reductions were revealed by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). As shown by electronic absorption and infrared spectroscopy, supramolecular dimers (SM1 and SM3) were formed from the corresponding double-decker 1 and triple-decker 3 in the presence of potassium ions in MeOH/CHCl3.