163 resultados para Learning Performance

em Deakin Research Online - Australia


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This study investigated the effectiveness of action observation (AO) on facilitating learning of the power clean technique (kinematics) compared with traditional strength coaching methods and whether improvements in performance (kinetics) were associated with an improvement in lifting technique. Fifteen subjects (age, 20.9 ± 2.3 years) with no experience in performing the power clean exercise attended 12 training and testing sessions over a 4-week period. Subjects were assigned to 2 matched groups, based on preintervention power clean performance and performed 3 sets of 5 repetitions of the power clean exercise at each training session. Subjects in the traditional coaching group (TC; n = 7) received the standard coaching feedback (verbal cues and physical practice), whereas subjects in the AO group (n = 8) received similar verbal coaching cues and physical practice but also observed a video of a skilled model before performing each set. Kinematic data were collected from video recordings of subjects who were fitted with joint center markings during testing, whereas kinetic data were collected from a weightlifting analyzer attached to the barbell. Subjects were tested before intervention, at the end of weeks 2 and 3, and at after intervention at the end of week 4. Faster improvements (3%) were observed in power clean technique with AO-facilitated learning in the first week and performance improvements (mean peak power of the subject's 15 repetitions) over time were significant (p < 0.001). In addition, performance improvement was significantly associated (R = 0.215) with technique improvements. In conclusion, AO combined with verbal coaching and physical practice of the power clean exercise resulted in significantly faster technique improvements and improvement in performance compared with traditional coaching methods.

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In this paper, a Computational Virtual Reality Environment for Anesthesia (CVREA) is proposed. Virtual reality, data mining, machine learning techniques will be explored to develop (1) an immersive and interactive training platform for anaesthetists, which can greatly improve their training and learning performance; (2) a knowledge learning environment which collects clinical data with greater richness, process data with more efficacy, and facilitate knowledge discovery in anaesthesiology.

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Tweet sentiment analysis is an important research topic. An accurate and timely analysis report could give good indications on the general public's opinions. After reviewing the current research, we identify the need of effective and efficient methods to conduct tweet sentiment analysis. This paper aims to achieve a high level of performance for classifying tweets with sentiment information. We propose a feasible solution which improves the level of accuracy with good time efficiency. Specifically, we develop a novel feature combination scheme which utilizes the sentiment lexicons and the extracted tweet unigrams of high information gain. We evaluate the performance of six popular machine learning classifiers among which the Naive Bayes Multinomial (NBM) classifier achieves the accuracy rate of 84.60% and takes a few minutes to complete classifying thousands of tweets.

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This study examines the factors affecting student performance in an undergraduate financial accounting course, utilising Computer Assisted Learning (CAL). Multiple regression analysis on student performance shows that positive perceptions of the usefulness of CAL significantly influenced performance. It was also found that International students had significantly poorer performance than local students. This result may be attributed to transitional problems experienced by these students, given their different pathways to university study Prior studies of accounting and computing at secondary school level, together with gender, were not significant influences on performance. The results have implications for accounting educators utilising CAL in courses as a means of improving students understanding of accounting concepts and as a means of providing efficient and effective educational instruction to maximise learning outcomes in accounting.

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A group of middle managers in the Australian arm of a large Global company participated in a program of experiential leadership training over a period of one year. One aim of the program was increased interpersonal skills and awareness. Change was measured using a mixed quantitative and qualitative longitudinal design. Pre and post-training measures of emotional intelligence were obtained using the EIQ (Dulewicz & Higgs, 2000) and compared with content analysis of journals kept by participants during the program. The dependent variable was measured by pre and post training measures of work performance. Findings are discussed in terms of their implications for management development as well as for further research.

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This project developed as a result of some inconclusive data from an investigation of whether a relationship existed between the use of formative assessment opportunities and performance, as measured by final grade. We were expecting to show our colleagues and students that use of formative assessment resources had the potential to improve performance. This first study, done in semester 1 2002, indicated that there was no apparent relationship even though the students reported how useful they found the resources. This led us to ask if there was a transition effect
such that students were not yet working in an independent way and making full use of the resources, and/or whether in order to see an effect we needed to persuade non-users of the resources to become users before investigating if use can be correlated with improvement in performance. With the 2002-3 NextEd ASCILITE Research Grant we set out to repeat our project and to look at use and usefulness of resources in both first and second semester, to encourage non-users to become users and to investigate use with performance. Now our story has a different ending.

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Both the learning organization literature and the self-managed work team literature have alluded to the potential links between teamwork and learning. However, as yet the link between these two concepts remains undeveloped. This study uses a survey of a random sample of 200 Australian organizations to empirically examine the relationships between self-managed work teams and the learning organization using performance indicators as a medium. It was found that the learning organization concept displays a moderate to strong link with three measures of performance used in this study: knowledge performance, financial performance and customer satisfaction. Although the self-managed work team concept did not display any significant relationship with performance, the qualitative component of the survey did emphasize that there is a common belief that self-managed teams can increase performance in the right setting. While an insignificant relationship between self-managed teams and the learning organization was also found, this study suggests some methodological concerns for future research into the relationship between self-managed teams and the learning organization.

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Looks at the relationship between emotional intelligence and choice theory in the work world, with particular emphasis on the implications on health and productivity. Most of us have a managing or leading role of some sort, whether at home, in community life, or at work. Also, as a professional, one can be leading through professional expertise and not necessarily because of one's place in the organizational hierarchy. There is an increasing awareness of the role of leadership and team development in organizational development, for example in health care where change is needed to manage the chronic disease burden (Dunbar et al., 2007) and utilizing and retaining a dwindling workforce (Schoo, Stagnitti, Mercer, & Dunbar, 2005). This is forcing leaders and their teams to work as smart as they can with resources that are available to them. Positive leadership has been associated with outcomes that include happy relationships, teamwork, learning, recognition, staff retention, and health and wellbeing. There is evidence that emotionally intelligent leaders in workplaces are able to bring about these positive out- comes because they are attuned to the emotions that move people around them (Goleman, Boyatzis, & McKee, 2002). In this sense, emotion can be defined as aroused energy that takes a direction (Hunt, 2004a) (Latin: e = from, movere = to move). Valerie Hunt regards emotion as the metronome of life (Hunt, 2004b). Although emotion can be a feeling state (e.g., fear, anger, joy, hate or sorrow) associated with action, its energy is, according to Hunt, directed to action, to behave(Hunt, 2004b). As mentioned in an earlier publication (Schoo, 2005), Pert (Flowers, Grubin, & Meryman-Brunner, 1993) regards emotions as a bridge that connects the mental and physical realities (p.187), and sees neuropeptides as the physical representations of these emotions. Negative thoughts and emotions such as excitement and anger have been found to increase gut motility, cancer risk and arterial plaque formation which can lead to a heart infarct (Pert, 1997), whereas positive emotions seem to do the opposite.

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Purpose – The purpose of this paper is to improve educator knowledge of the antecedents and consequences of blended learning in higher education.

Design/methodology/approach – A longitudinal case study approach is adopted. Three case studies each involve tracking a student evaluations of teaching (SET) measure (willingness to recommend) and grade point average for three subjects from the same business discipline over six years. The cases involve comparison of: a business subject taught solely online; a business subject where experimentation in the blend of face-to-face teaching and learning is involved; and a business subject where face-to-face teaching is primarily used, and where in the most recent iteration online content supplements the learners' experiences.

Findings – The findings suggest that there are situations where integrated use of blended learning involving face-to-face teaching, digital media and digital communication with simple navigation between the content items leads to positive student perceptions. This is in contrast to negative student perceptions in the situation where learners must navigate in online learning, and where there is little or no face-to-face instruction. While not examined in detail, nor part of the research question, it is not surprising to find no relationship between learning mode and grade point averages is evidenced.

Research limitations/implications – The effects of prior computer literacy and language proficiency across the students used in this study, and potential demographic and experiential differences between on-campus and off-campus students are not controlled for. Additionally, only three business subjects are investigated and it is recognised that there is a need for a broader study. Finally, with response levels to the university-controlled SET that typically range between 20-43 per cent for these large subjects, there is possible non-response bias that it was not possible to counter over the six years involved.

Practical implications –
The findings in this study suggest that while blended learning offers many benefits to higher education institutions and learners alike, care needs to be taken in the manner in which such approaches are implemented in light of possible negative learner perceptions where a less traditional approach is taken.

Originality/value –
A major contribution of this study is the fact that experimentation has taken place in terms of the degree of face-to-face and online learning that have been blended in at least one subject (case study two), and the fact that the SET for this subject are compared, longitudinally, with two other subjects which lie on either side of this subject in terms of the extent of online and face-to-face teaching and learning employed – 100 per cent online in case study one and almost 100 per cent face-to-face in case study three.

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This thesis proposes three effective strategies to solve the significant performance-bias problem in imbalance text mining: (1) creation of a novel inexact field learning algorithm to overcome the dual-imbalance problem; (2) introduction of the one-class classification-framework to optimize classifier-parameters, and (3) proposal of a maximal-frequent-item-set discovery approach to achieve higher accuracy and efficiency.

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This presentation reports on a study conducted at the Victoria University TAFE where a mathematics module was offered to students in an on campus delivery setting.

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This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

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This submission draws attention to the challenges of modelling and measuring teacher performance and the risks associated with the measurement of student and teacher performance. The first premise of this submission is that all such performances are strongly contextual, and that therefore valid modelling and measurement must take the effective dimensions of this context into account. The second premise of this submission is that this performance-context nexus operates as a system and that one of the properties of such systems is continuous feedback looping. The submission draws attention as well to an important entailment of this argument, which is that invalid modelling and measurement may lead to a distortion of the productive functioning of learning systems. This submission accordingly urges the Commission to commit to developing an econometric model which reckons with the contextual determinants of student and teacher performance, and the pursuit of system-wide productivity increases on the basis of the school learning system as the basic unit of analysis. The Commission is also urged to investigate the suggestion that performance measurement regimes which take the basic units of measurement as individual student and teacher performance rather than the school pose a risk to the productivity of schools as learning systems and innovation in the Australian economy as a whole in the longer term.