252 resultados para Learning Analysis
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This paper describes a safety data recording and analysis system that has been developed to capture safety occurrences including precursors using high-definition forward-facing video from train cabs and data from other train-borne systems. The paper describes the data processing model and how events detected through data analysis are related to an underlying socio-technical model of accident causation. The integrated approach to safety data recording and analysis insures systemic factors that condition, influence or potentially contribute to an occurrence are captured both for safety occurrences and precursor events, providing a rich tapestry of antecedent causal factors that can significantly improve learning around accident causation. This can ultimately provide benefit to railways through the development of targeted and more effective countermeasures, better risk models and more effective use and prioritization of safety funds. Level crossing occurrences are a key focus in this paper with data analysis scenarios describing causal factors around near-miss occurrences. The paper concludes with a discussion on how the system can also be applied to other types of railway safety occurrences.
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This chapter discusses using phenomenography to study information experience. Phenomenographers aim to investigate people’s experiences of the world around them, which is comprised of the interrelationship between an individual and a phenomenon they are focusing on. Phenomenography has been identified as a research approach suited to the study of information experience. Phenomenographic research investigating experiences of using information in different contexts has led to the development of informed learning, which is an approach to information literacy that emphasizes learning as an outcome of using information. Recent research focusing on information experience has been referred to as informed learning research. The preliminary findings from a current informed learning study illustrate the educative benefits of researching information experience. This study investigates a classroom lesson, in which a teacher outlines an assignment that requires the students to understand a language and gender topic by investigating the evolution of research on the topic. The lesson is experienced in multiple ways by the students and the analysis suggests a way of enhancing the lesson to enable more students to experience it in the way intended by the teacher.
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Purpose The purpose of this paper is to examine the effectiveness of workshops as a learning tool for small business owner‐managers (SBO‐Ms). It aims to concentrate on workshops delivered over 18 months from January 2007 to July 2008 as part of several publicly‐funded small business development programmes in two Australian local government areas (LGAs). Design/methodology/approach Effectiveness is measured in terms of meeting the overarching learning needs and expectations of participants in the context of the programme goals. The paper analyses data gathered from workshop participants either post‐workshop, in later focus groups or through a questionnaire as well as additional feedback from participants and the organisers' reflections. The thematic analysis is organised through an analogy of “going shopping”, where the SBO‐M shopper is buying “learning” when they attend a workshop. Findings Understanding motivation to participate or the “what's in it for me” is important as SBO‐Ms tend to be reluctant, resist or fail to engage with externally sponsored business support initiatives. Workshops were valued for the “space” they create to reflect on practice. For many SBO‐Ms, content “comes alive” with discussion while networking helps reduce the isolation SBO‐Ms can feel. Practical implications The shopping analogy suggests workshops must cater for purposeful shoppers as well as browsers, while interaction with others in the workshop is critical to realising the value of workshops. Originality/value Knowing whether, and how, workshops deliver learning can help to better target and refine these types of support initiatives to ensure they provide positive outcomes for individuals, organisations and economies.
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This study documents and theorises the consequences of the 2003 Australian Government Reform Package focussed on learning and teaching in Higher Education during the period 2002 to 2008. This is achieved through the perspective of program evaluation and the methodology of illuminative evaluation. The findings suggest that the three national initiatives of that time, Learning and Teaching Performance Fund (LTPF), Australian Learning and Teaching Council (ALTC), and Australian Universities Quality Agency (AUQA), were successful in repositioning learning and teaching as a core activity in universities. However, there were unintended consequences brought about by international policy borrowing, when the short-lived nature of LTPF suggests a legacy of quality compliance rather than one of quality enrichment.
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This qualitative research explored secondary Home Economics teachers' perceptions of their teacher agency to influence classroom, department and school level curriculum decision making. Teachers responded to curriculum change with proactive, reactive and/or passive agency. Findings indicated that teachers' perceptions of their classroom agency remained high. However, agency decreased at department and school levels. Recent changes in schools as a result of the Australian Curriculum; NAPLAN and Queensland Studies Authority have resulted in changes that have been detrimental to teacher agency. Agency was enacted differently depending on whether change was teacher initiated or mandated by authority.
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Aim Evaluation or assessment of competence is an important step to ensure the safety and efficacy of health professionals, including dietitians. Most competency-based assessment studies are focussed on valid and reliable methods of assessment for the preparation of entry-level dietitians, few papers have explored student dietitians’ perceptions of these evaluations. This study aimed to explore the perceptions of recent graduates from accredited nutrition and dietetics training programs in Australia. It also aimed to establish the relevance of competency-based assessment to adequately prepare them for entry-level work roles. Methods A purposive sample of newly-graduated dietitians with a range of assessment experiences and varied employment areas was recruited. A qualitative approach, using in-depth interviews with 13 graduates, with differing assessment experiences was undertaken. Graduates were asked to reflect upon their competency-based assessment experiences whilst a student. Data was thematically analysed by multiple authors. Results Four themes emerged from the data analysis: (i) Transparency and consistency are critical elements of work-based competency assessment. (ii) Students are willing to take greater responsibility in their assessment process. (iii) Work-based competency assessment prepares students for employment. (iv) The relationship between students and their assessors can impact on the student experience and their assessment performance. Conclusions Understanding this unique perspective of students can improve evaluation of future health professionals and assist in designing valid competency-based assessment approaches.
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This paper introduces a new method to automate the detection of marine species in aerial imagery using a Machine Learning approach. Our proposed system has at its core, a convolutional neural network. We compare this trainable classifier to a handcrafted classifier based on color features, entropy and shape analysis. Experiments demonstrate that the convolutional neural network outperforms the handcrafted solution. We also introduce a negative training example-selection method for situations where the original training set consists of a collection of labeled images in which the objects of interest (positive examples) have been marked by a bounding box. We show that picking random rectangles from the background is not necessarily the best way to generate useful negative examples with respect to learning.
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Evaluation in higher education is an evolving social practice, that is, it involves what people, institutions and broader systems do and say, how they do and say it, what they value, the effects of these practices and values, and how meanings are ascribed. The textual products (verbal, written, visual, gestural) that inform and are produced by, for and through evaluative practices are important as they promulgate particular kinds of meanings and values in specific contexts. This paper reports on an exploratory study that sought to investigate, using discourse analysis, the types of evaluative practices that were ascribed value, and the student responses that ensued, in different evaluative instruments. Findings indicate that when a reflective approach is taken to evaluation, students’ responses are more considered, they interrogate their own engagement in the learning context and they are more likely to demonstrate reconstructive thought. These findings have implications for reframing evaluation as reflective learning.
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In this chapter, I draw on poststructural theories of language to examine the self-characterisation practices of 33 boys attending special schools for students with disruptive behaviour. During a semi-structured interview, each boy was asked to describe his personality and then to choose from a selection of positive/negative word pairs. The objective was to determine whether these young people would characterise themselves in positive or negative ways. Participants were then asked if there was anything they would change about themselves if they could. Responses were analysed and compared against a discourse model developed from media reports and interviews with their principals. Findings suggest that while discourse may well ‘form the objects of which it speaks’ (Foucault, 1972, p. 49) in the eyes of teachers, principals, psychiatrists and paediatricians, it also offers a means through which the constituted subject can re-author itself in a more positive frame.
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This paper outlines the initial results from a pilot study into the educational use of the board game Monopoly City™ in a first year property economics unit. This game play was introduced as a fun and interactive way of achieving a number of desired outcomes including: enhanced engagement of first year students; introduction of foundational threshold concepts in property education; introduction of problem solving and critical analysis skills; early acculturation of property students to enhance student retention; and early team building within the Property Economics cohort, all in an engaging and entertaining way. Preliminary results in this research project are encouraging. The students participating in this initial cycle have demonstrated explicit linkages between their Monopoly City™ experiences and foundation urban economic and valuation theories. Students are also recognising the role strategy and chance play in the property sector. However, linking Monopoly City™ activities to assessment has proved important in student attendance and hence engagement.
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Engineers must have deep and accurate conceptual understanding of their field and Concept inventories (CIs) are one method of assessing conceptual understanding and providing formative feedback. Current CI tests use Multiple Choice Questions (MCQ) to identify misconceptions and have undergone reliability and validity testing to assess conceptual understanding. However, they do not readily provide the diagnostic information about students’ reasoning and therefore do not effectively point to specific actions that can be taken to improve student learning. We piloted the textual component of our diagnostic CI on electrical engineering students using items from the signals and systems CI. We then analysed the textual responses using automated lexical analysis software to test the effectiveness of these types of software and interviewed the students regarding their experience using the textual component. Results from the automated text analysis revealed that students held both incorrect and correct ideas for certain conceptual areas and provided indications of student misconceptions. User feedback also revealed that the inclusion of the textual component is helpful to students in assessing and reflecting on their own understanding.
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Nursing was one of the last health professions to be established in the higher education sector. A lingering challence is the integration of bioscience into nursing curriculum. Research suggests that students perceive bioscience teaching to be difficult thereby contributing to heightened anxiety. It has been proposed that high content volume, lack of secondary school science, and predominance of science lectureres without clinical practice experience, may lead to a bioscience disconnet with curricula. To ascertain the extent of this problem, we undertook a cross-sectional designed study of commencing, second and third year undergraduate nursing students (n=566). They were surveyed about perceptions, knowledge and approaches to bioscience learning. Preliminary analysis revealed similar findings between the three different cohorts. Generally, sudents perceived bioscience subjects to be difficult, more challenging and requiring more study hours than clinical nursing subjects. Interestingly, the perception of difficulty and associated anxieties were found in both commencing and existing students. Moreover, students with secondary school biology combined with another science subject perceived bioscience teaching more favourably compared to those who had studied one secondary school science subject. University coursework needs to embed strategies to minimise anxieties about learning bioscience by using innovative deliveries and scaffolded assessments that target the learner's needs.
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This paper presents an online, unsupervised training algorithm enabling vision-based place recognition across a wide range of changing environmental conditions such as those caused by weather, seasons, and day-night cycles. The technique applies principal component analysis to distinguish between aspects of a location’s appearance that are condition-dependent and those that are condition-invariant. Removing the dimensions associated with environmental conditions produces condition-invariant images that can be used by appearance-based place recognition methods. This approach has a unique benefit – it requires training images from only one type of environmental condition, unlike existing data-driven methods that require training images with labelled frame correspondences from two or more environmental conditions. The method is applied to two benchmark variable condition datasets. Performance is equivalent or superior to the current state of the art despite the lesser training requirements, and is demonstrated to generalise to previously unseen locations.
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Background: A major challenge for assessing students’ conceptual understanding of STEM subjects is the capacity of assessment tools to reliably and robustly evaluate student thinking and reasoning. Multiple-choice tests are typically used to assess student learning and are designed to include distractors that can indicate students’ incomplete understanding of a topic or concept based on which distractor the student selects. However, these tests fail to provide the critical information uncovering the how and why of students’ reasoning for their multiple-choice selections. Open-ended or structured response questions are one method for capturing higher level thinking, but are often costly in terms of time and attention to properly assess student responses. Purpose: The goal of this study is to evaluate methods for automatically assessing open-ended responses, e.g. students’ written explanations and reasoning for multiple-choice selections. Design/Method: We incorporated an open response component for an online signals and systems multiple-choice test to capture written explanations of students’ selections. The effectiveness of an automated approach for identifying and assessing student conceptual understanding was evaluated by comparing results of lexical analysis software packages (Leximancer and NVivo) to expert human analysis of student responses. In order to understand and delineate the process for effectively analysing text provided by students, the researchers evaluated strengths and weakness for both the human and automated approaches. Results: Human and automated analyses revealed both correct and incorrect associations for certain conceptual areas. For some questions, that were not anticipated or included in the distractor selections, showing how multiple-choice questions alone fail to capture the comprehensive picture of student understanding. The comparison of textual analysis methods revealed the capability of automated lexical analysis software to assist in the identification of concepts and their relationships for large textual data sets. We also identified several challenges to using automated analysis as well as the manual and computer-assisted analysis. Conclusions: This study highlighted the usefulness incorporating and analysing students’ reasoning or explanations in understanding how students think about certain conceptual ideas. The ultimate value of automating the evaluation of written explanations is that it can be applied more frequently and at various stages of instruction to formatively evaluate conceptual understanding and engage students in reflective
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Water education and conservation programs have grown exponentially in Australian primary and secondary schools and, although early childhood services have been slower to respond to the challenges of sustainability, they are catching up fast. One early program targeted at preschools was the Water Aware Centre Program in northern New South Wales developed by the local water supply authority. This paper reports on a qualitative study of children’s and teachers’ experiences of the program in three preschools. The study’s aim was to identify program attributes and pedagogies that supported learning and action taking for water conservation, and to investigate if and how the program influenced children’s and teachers’practices. Data were collected through an interview with the program designer, conversations with child participants of the program, and a qualitative survey with early childhood staff. A three-step thematic analysis was conducted on the children’s and teachers’ data. Findings revealed that the program expanded children and teachers’ ideas about water conservation and increased their water conservation practices. The children were found to influence the water conservation practices of the adults around them, thus changing practices at school and at home.