997 resultados para Surface Learning


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Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active area of research for several years. The existing curve fitting strategies for performance modeling utilize data from experiments that are conducted under uniform loading conditions. Hence the accuracy of these models degrade when the load conditions on the machines and network change. In this paper, we analyze a curve fitting model that attempts to predict execution times for any load conditions that may exist on the systems during application execution. Based on the experiments conducted with the model for a parallel eigenvalue problem, we propose a multi-dimensional curve-fitting model based on rational polynomials for performance predictions of parallel applications in non-dedicated environments. We used the rational polynomial based model to predict execution times for 2 other parallel applications on systems with large load dynamics. In all the cases, the model gave good predictions of execution times with average percentage prediction errors of less than 20%

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Nearly 500 secondary students in 24 classes were surveyed and four students in each class interviewed concerning their approaches to learning and perceptions of their classroom environment. While interviewed students with deep approaches to learning generally demonstrated a more sophisticated understanding of the learning opportunities offered to them than did students with surface approaches, teaching strategies also influenced students' perceptions. When teachers focused strongly on actively engaging students and creating a supportive environment, students with both deep and surface approaches focused on student-centred aspects of the class. In contrast, when traditional expository teaching methods were used exclusively, students with deep and surface approaches both focused on transmission and reproduction.

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In the study of student learning literature, the traditional view holds that when students are faced with heavy workload, poor teaching, and content that they cannot relate to – important aspects of the learning context, they will more likely utilise the surface approach to learning due to stresses, lack of understanding and lack of perceived relevance of the content (Kreber, 2003; Lizzio, Wilson, & Simons, 2002; Ramdsen, 1989; Ramsden, 1992; Trigwell & Prosser, 1991; Vermunt, 2005). For example, in studies involving health and medical sciences students, courses that utilised student-centred, problem-based approaches to teaching and learning were found to elicit a deeper approach to learning than the teacher-centred, transmissive approach (Patel, Groen, & Norman, 1991; Sadlo & Richardson, 2003). It is generally accepted that the line of causation runs from the learning context (or rather students’ self reported data on the learning context) to students’ learning approaches. That is, it is the learning context as revealed by students’ self-reported data that elicit the associated learning behaviour. However, other research studies also found that the same teaching and learning environment can be perceived differently by different students. In a study of students’ perceptions of assessment requirements, Sambell and McDowell (1998) found that students “are active in the reconstruction of the messages and meanings of assessment” (p. 391), and their interpretations are greatly influenced by their past experiences and motivations. In a qualitative study of Hong Kong tertiary students, Kember (2004) found that students using the surface learning approach reported heavier workload than students using the deep learning approach. According to Kember if students learn by extracting meanings from the content and making connections, they will more likely see the higher order intentions embodied in the content and the high cognitive abilities being assessed. On the other hand, if they rote-learn for the graded task, they fail to see the hierarchical relationship in the content and to connect the information. These rote-learners will tend to see the assessment as requiring memorising and regurgitation of a large amount of unconnected knowledge, which explains why they experience a high workload. Kember (2004) thus postulate that it is the learning approach that influences how students perceive workload. Campbell and her colleagues made a similar observation in their interview study of secondary students’ perceptions of teaching in the same classroom (Campbell et al., 2001). The above discussions suggest that students’ learning approaches can influence their perceptions of assessment demands and other aspects of the learning context such as relevance of content and teaching effectiveness. In other words, perceptions of elements in the teaching and learning context are endogenously determined. This study attempted to investigate the causal relationships at the individual level between learning approaches and perceptions of the learning context in economics education. In this study, students’ learning approaches and their perceptions of the learning context were measured. The elements of the learning context investigated include: teaching effectiveness, workload and content. The authors are aware of existence of other elements of the learning context, such as generic skills, goal clarity and career preparation. These aspects, however, were not within the scope of this present study and were therefore not investigated.

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This paper examines a methodology for establishing quality in online learning environments. For e-learning to be sustainable in flexible, open and distance learning, its value in learning must be able to be analysed. In the case of computer conferencing, one way to do this is with content analysis. This methodology is discussed with a review of current frameworks. These indicate that while some researchers and evaluators either use or modify existing frameworks, most researchers develop new ones, generally through the adaptation of existing theories, concepts or model, but in some cases through grounded theory approaches. The development and implementation of two frameworks are then discussed in detail. Both were developed to investigate and evaluate both collaborative learning and deep and surface learning as evidenced in computer conferences. Evidence of such learning attributes are precisely the elements of value in e-learning that can be shown through such a methodology. These attributes can then be integrated into courses developed for quality online learning environments.

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Accelerated learning is an integrative method of learning, combining both sides of the brain to strengthen a student's relationship with self, teacher, subject matter and other students, and so assists students to achieve deep, rather than surface, learning. While the approach has been used to teach school pupils and trainees in the corporate world, its use in marketing education in universities is limited, and there are no reports of studies focusing on its use in postgraduate coursework degrees. Thus this paper examines how accelerated learning could be used in teaching marketing at universities at the MBA level. Some techniques are synthesised from the literature that are particularly appropriate for the students and constraints of an MBA program in a university. We conclude that accelerated learning techniques can be used and are effective in a MBA program. Essentially, accelerated learning incorporate many, already known ideas but it is a useful comprehensive framework.

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The increasing diversity and mobility of students have challenged universities, world over, to review educational courses and delivery to provide a more satisfying learning environment to students. The continuous improvement of the 'quality' of teaching and learning is one of the key goals of universities endeavouring to fulfil their obligations as learning institutions. Using a revised SPQ2F instrument (Biggs, 2003, Biggs and Leung, 2001), this exploratory study undertakes a comparative analysis of the age and gender differences in the learning orientations of two groups of tertiary students in an Australian University. The results indicate that there are no significant differences in the learning orientations of students but on average they seem to demonstrate deep learning than surface learning although they may differ in terms of the learning contexts.

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Project and problem-based learning (PBL) has been widely recognised as an active, collaborative, cumulative and integrative learning approach that engages learners, motivates team creativity and centres on practical education. On the other hand, traditional lecture-tutorial teaching is often criticised for being a passive, surface learning and exam-focused approach. In spite of these evidence-based observations and claims over the years, the traditional lecture-tutorial teaching approach still dominates as the preferred teaching approach at Australian universities. This study sets up a control environment to compare these two teaching and learning approaches by analysing data from students' actual performance, course evaluation and expectation in two large undergraduate engineering courses in 2009 and 2010. The evidence reported in this study is broadly interesting in that both courses were taught by the same teaching staff using two entirely different learning and teaching approaches to the same cohort of students in the same semester within the same degree program. The analysis shows that there are significant differences between the students' actual performance, course evaluation and their expectation. Such conflicting differences may be some of the reasons that may negatively impact teaching staff deterring them from switching to PBL from traditional lecture-tutorial teaching.

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BACKGROUNDChisholm’s ‘first year experience’ is a significant feature of the new industry focused Bachelor of Engineering Technology program delivered in association with the South East Melbourne Manufacturers’ Alliance (SEMMA). This conceive-design-implement-operate (CDIO Initiative) program commenced as a full time program in first semester 2012. Whereas it is common for CDIO Initiative programs to have a first year experience program containing a project typical of the type of industry project they would complete as a graduate engineer or engineering technologist, this goes further by using real industry projects provided by SEMMA members.This design-and-build industry project runs across both semesters supporting project-based learning in three first year subjects. A concern is that the industry involvement of the projects adds substantially to an already heavy student workload. This has been further increased by the addition of two additional first year initiatives: writing workshops, and training in, and substantial use of, student oral presentations. It is recognised that an excessive workload could lead students to adopt surface learning approaches in other subjects.PURPOSEThe goal of the project is to evaluate student perceptions of the value and work load impact of the industry project and the other new first year initiatives.DESIGN/METHODCentral to this project is a student survey-based evaluation of the industry project based learning that is the core of the ‘first year experience’. The participants were limited to the small group of students who, in a single year, completed all three subjects that comprise the ‘first year experience’. To avoid compromising the results the survey was administered by Chisholm Institute’s Department of Strategy and Planning with no engineering technology degree program staff present. The survey included questions to enable responses to be linked with specific student demographics without identifying any of the respondents.RESULTSThe study showed the industry project-based learning had worthwhile outcomes but placed considerable time pressures on most respondents. For some, this also impacted on their other subjects. A first year oral presentation program was also shown to have worthwhile outcomes. However no conclusions could be reliably drawn on the third initiative – writing workshops.CONCLUSIONSThe results confirm that the authentic industry project is considered a worthwhile initiative but contributes significantly to student overload. This applies also – to a lesser extent – to the first year oral presentation program. Both also require new approaches to delivery as student numbers increase. Strategies to address these issues are discussed.

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The shift in focus from teaching to learning in higher education can be paralleled in the shift from bibliographic instruction to information literacy. This move has resulted in a change of role from librarians as service providers to educators. This paper argues that in order to facilitate students' 'getting of wisdom', librarians who design and deliver information literacy programs should see themselves as teachers rather than trainers. It compares the role of the school teacher-librarian with that of the academic teaching librarian. The implications of a dominant training paradigm result in the reduction of information literacy to lower order surface learning. Support for teaching librarians is crucial in changing roles and self-image.

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This paper is a response to Hoban and Neilsen's (2010) Five Rs model for understanding how learners engage with slowmation. An alternative model (the Learning MMAEPER Model) that builds on the 5Rs model is explained in terms of its use in secondary science preservice teacher education. To probe into the surface and deep learning that can occur during the creation of a slowmation, the learning and relearning model is explored in terms of learning elements. This model can assist teachers to monitor the learning of their students and direct them to a deeper understanding of science concepts.

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This paper reports on the outcome of an inquiry into the learner diversity and the delivery of a second year marketing subject in an Australian university. Using Biggs’s revised SPQ2F instrument (Biggs, 2003), it analyses the learning approaches of students and the opportunities for developing teaching strategies for better learning outcomes. The results suggest that overall students seem to adopt deep learning than surface learning though they differ in terms of the learning contexts. Moreover, no significant differences among students in regard to the study approach domains except for minor variation related to specific items in the instrument.

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Objective: To identify and address particular challenges in the teaching of epidemiological concepts to undergraduate students in non-clinical health disciplines. Methods and Results: Relevant pedagogical literature was reviewed to identify a range of evidence-based teaching approaches. The authors also drew on their experience in curriculum development and teaching in this field to provide guidelines for teaching epidemiology in a way that is engaging to students and likely to promote deep, rather than surface, learning. Discussion of a range of practical strategies is included along with applied examples of teaching epidemiological content. Conclusions and Implications: Increasingly, there is a greater emphasis on improved learning outcomes in higher education. Graduates from non-clinical health courses are required to have a core understanding of epidemiology and teachers of epidemiology need to be able to access resources that are relevant and useful for these students. A theoretically grounded framework for effective teaching of epidemiological principles to non-clinical undergraduates is provided, together with a range of useful teaching resources (both paper and web-based). Implementation of the strategies discussed will help ensure graduates are able to appropriately apply epidemiological skills in their professional practice.

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Based on a revised SPQ2F instrument (Biggs, 2003, Biggs and Leung, 2001) this exploratory study investigates the differences of the study approaches of on campus and offshore students and their perceptions of the delivery of a marketing unit in an Australian university. The results indicate that there are no significant differences in students’ general approaches to study though their study methods may differ according to the learning contexts and the prior learning backgrounds. The also study reveals that majority of students seem to adopt deep learning than surface learning approaches, though in comparison on campus students appear to have deep learning orientations than the off shore campus students.