330 resultados para online learning environments

em Deakin Research Online - Australia


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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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Online learning environments (OLEs) are now critical to teaching and learning across Australian higher education. Their influence impacts on the availability of content, the design of courses and, perhaps most pedagogically significantly, the nature of communication. The discussion board is the ubiquitous communication tool within these OLEs and hence significantly shapes the kind of communication that takes place. In light of this, the degree to which a successful community of inquiry can be facilitated through the use of discussion boards is examined and compared to the possibilities afforded by weblogs in the same role. Weblogs, it is argued, offer new opportunities in the development of social, cognitive and teacher presence online and should be considered in the development of or alongside established OLEs.

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This paper presents a large scale, quantitative investigation of the impact of demographic differences on the student experience of using an online learning environment (OLE). Female respondents generally gave higher ratings than males, and gave significantly higher ratings in both importance and satisfaction to a group of OLE elements related to online interaction and community. Postgraduate respondents generally gave lower satisfaction ratings than undergraduate students, though significant differences were few. Results on the basis of mode of enrolment were mixed. The discovery of significant differences between demographic groups highlights the importance of up-to-date and on-going research-based surveys of student perceptions of the OLE. The finding that elements of the institutional OLE are not universally perceived the same way by all students groups also challenges the value of standard, one-size-fits-all institutional policies and templates relating to the use of the OLE.

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In modern pedagogy, a blended approach is used comprising both face-to-face and online learning. This study investigates how undergraduate students majoring in finance view the different learning environments, and evaluates the changes in perception over the three years of the degree after controlling for gender, age, international/domestic student and English as a first language. Using a purpose designed survey instrument, students across the three years of undergraduate study rated the importance of lectures, tutorials and web-based learning environments in a blended learning model. The results indicate that there is still a strong preference for face-to-face learning. Additionally, there were significant differences in attitudes and perception by year level.

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This paper reports on findings from a nationally funded project which aims to design and implement a quality management framework for online learning environments (OLEs). Evaluation is a key component of any quality management system and it is this aspect of the framework that is the focus of this paper. In developing the framework initial focus groups were conducted at the five participating institutions. These revealed that, although regarded as important, there did not appear to be a shared understanding of the nature and purpose of evaluation. A second series of focus groups revealed there were multiple perspectives arising from those with a vested interest in online learning. These perspectives will be outlined. Overall, how evaluation was undertaken was highly variable within and across the five institutions reflecting where they were at in relation to the development of their OLE.

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The paper presents the findings of the first year of a nationally funded Australian Learning and Teaching Council (ALTC) project on the quality management of online learning environments by and through distributed leadership. The project is being undertaken by five Australian universities with major commitments to online and distance education. Each university, however, has a distinctive location, history and profile in the sector. The first year of the project has seen the development of a quality management framework with six interrelated elements. The framework is being applied, refined and validated in the second year of the project. Allied with the development of the framework, was the conduct of focus groups at each of the five partner institutions in the middle of the first year. These focus groups composed a range of staff involved collectively in the leadership of the organisation's online learning environment. Prominence was given to the nature and value of strategic planning, due diligence conducted in selecting and mainstreaming technologies, evaluation approaches informing decision making, and the various relationships between different leadership levels and domains. A number of key issues which emerged relating to the elements identified in the framework are examined.

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Online learning environments (OLEs) are complex information technology (IT) systems that intersect with many areas of university organisation. Distributed models of leadership have been proposed as appropriate for the good governance of OLEs. Based on theoretical and empirical research, a group of Australian universities proposed a framework for the quality management of OLEs, and sought to validate the model via a survey of Australasian university representatives with OLE leadership responsibility. For the framework elements: Planning and Resourcing were rated most important; Organisational structure was rated least important; Technologies were rated low in importance and high in satisfaction; Resourcing and Evaluation were rated low in satisfaction; and Resourcing had the highest rating of importance coupled with low satisfaction. Considering distributed leadership in their institution, respondents reported that the organisational alignments represented by 'official' reporting and peer relationships were significantly more important and more effective than the organisational alignments linking the formal and informal leaders. From a range of desirable characteristics of distributed leadership, 'continuity and sustainability' received the highest rating of importance and a low rating of 'in evidence' - there are concerns about the sustainability of distributed leadership for the governance of OLEs in universities.

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 The project developed and disseminated, through a distributed leadership approach, an overall framework for the quality management of online learning environments (OLEs) in Australian higher education. The Six Elements of the Online Learning Environment (6EOLE) Quality Management Framework and its guidelines was constructed based on various data collection methods deployed in the project.

The 6EOLE Quality Management Framework, displayed on page six, and accompanying guidelines (i.e. An evidence-based approach to implementation, and A condensed guide) can be used to guide management action to assure and continuously improve the quality of an organisation’s OLE where environmental factors are relatively stable, at least for a period....


This report shows how the project’s objectives were achieved through the project approach and methodology, which in turn led to a set of project outcomes and key deliverables. Moreover, a consideration of these key outcomes and deliverables has led to the presentation of recommendations to the Office for Learning and Teaching and the higher education sector. We argue these recommendations are pertinent to the consideration of distributed leadership and the quality management of OLEs at any tertiary institution.

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This article reports on the findings of senior leadership interviews in a nationally funded project on distributed leadership in the quality management of online learning environments (OLEs) in higher education. Questions were framed around the development of an OLE quality management framework and the situation of the characteristics of distributed leadership at the core of the framework. The project’s premise is that distributed leadership is a descriptive reality of managing OLEs given the various leadership parties involved and the complexities of the contemporary technological landscape. Leaders’ understandings of distributed leadership were examined—its nature, value and potential for advancing the quality management of OLEs. There was confirmatory evidence of its reality, but its meaning and value were not uncritically accepted. It can be concluded that building distributed leadership must start through deliberative formal leadership commitment and action starting at the highest levels of the institution.

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The advent of online learning in tertiary education has changed the way students interact with institutions and undertake their studies. All students at Deakin University interact with their courses through an online learning environment. While online learning environments can be evaluated in a number of ways, the perceptions of the key users and their levels of satisfaction with the online learning environment are important measures.
This paper presents results of a survey of students studying at Deakin University in 2005. The survey explored their perceptions of learning in the online environment. The results indicate that overall students were enthusiastic about learning in such an environment. The main advantages are the flexibility that it provides and the ability to study when it suits students. The disadvantages include technical issues such as speed of access, and the need to participate regularly. The size and spread of the responses suggest that these outcomes can be generalized for all students studying online.

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In this article, we focus on the use of Web-based learning environments for university students. We draw on an evaluation of an online environment that was developed to supplement face-to-face components of an undergraduate education unit in an Australian university. We explore learners' affective responses to this environment, finding that students' responses were often related to their familiarity with the learning environment, their skills and confidence with computer technology, and their preferred learning styles. It is not surprising to us that different students experienced the environment differently as this is the foundation of constructivist and socio-cultural understandings of learning. Yet, the models that currently predominate in the provision of online learning environments in universities offer very little in terms of responding and adapting to students' individual needs and preferences. Instead, online Web-based learning environments are most often designed to anticipate an average, or sometimes ideal, learner. We argue that designing for an imagined average or ideal learner does not adequately respond to the challenge of accommodating learner difference. If hopes for student-centred education are to be realised, future technological and pedagogical developments in online course provision need to be sophisticated enough to respond and adapt to individual students' needs and preferences across a wide range of variables.

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The last decade has seen a phenomenal growth in the use of the Web in university education, with various factors influencing the adoption of Web-based technology. The reduction of government funding in the higher education sector has forced universities to seek technological solutions to provide courses for a growing and increasingly diverse and distributed student population [13,14]. Another impetus has been a shift in focus from teacher-centred to learner-centred education, encouraging educators to provide courses which enable students to manage their own learning [6]. In this paper we discuss challenges associated with the design and provision of Web-based learning environments that are truly student-centred. We draw on interview and questionnaire data from an evaluation study to raise issues surrounding the provision of online environments that meet learners' needs. We discuss the challenges of catering for the needs of different learners and the challenges associated with helping students to make the transition into new online learning environments.

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Many Australian tertiary institutions provide support for academic staff in the design and development of online teaching and learning resources, often employing a centralised unit staffed with educational and instructional designers, multimedia and online developers, audio/video producers and graphic artists. It is not unusual for these units to have evolved from print-based distance education providers and consequently the design and development processes inherent within those units are often steeped in ‘traditional’ sequential instructional development models. We argue that these models are no longer valid for effectively working with academic staff given the dynamic nature of online learning environments and the diversity of skills to implement effective online learning. This paper therefore presents an extended instructional design model in which the development cycle for online teaching and learning materials uses a scaffolding strategy in order to cater for learner-centred activities and to maximise scarce developer and academic resources. The model also integrates accepted phases of the instructional development process to provide guidelines for the disposition of staff and to more accurately reflect the creation of resources as learning design rather than instructional design. It is a model that builds on instructional design processes and integrates concepts of team-based development, shared understanding and the development of relevant communities of practice.