Teachers as researchers : models of professional learning

Supporting Teachers As Researchers (STAR) was an investigation into how teachers’ professional learning might be enhanced by positioning teachers as practitioner researchers and professionals who are capable of generating change within their local educational context. The chapter presents a model of professional learning in which teachers were given space to bring renewable professional knowledge to their work as practicing teachers. Within this chapter a teacher story is used to show how teachers designed research questions, gathered evidence about their teaching and used this evidence to inform their practice. The teacher story presents the realities of everyday teaching. The elements that contribute to the overall effectiveness of this model of are presented to contribute to the debate surrounding the char-acteristics of effective professional learning.

On the extraction of thematic and dramatic functions of content in educational videos

In this paper, we propose novel computational models for the extraction of high level expressive constructs related to, namely thematic and dramatic functions of the content shown in educational and training videos. Drawing on the existing knowledge of film theory, and media production rules and conventions used by the filmmakers. we hypothesize key aesthetic elements contributing to convey these functions of the content. Computational models to extract them are then formulated and their performance evaluated on a set of ten educational and training videos is presented.

Topic transition detection using hierarchical hidden Markov and semi-Markov models

In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic detection framework is a combination of a shot classification step and a detection phase using hierarchical probabilistic models. We consider two models in this paper: the extended Hierarchical Hidden Markov Model (HHMM) and the Coxian Switching Hidden semi-Markov Model (S-HSMM) because they allow the natural decomposition of semantics in videos, including shared structures, to be modeled directly, and thus enabling efficient inference and reducing the sample complexity in learning. Additionally, the S-HSMM allows the duration information to be incorporated, consequently the modeling of long-term dependencies in videos is enriched through both hierarchical and duration modeling. Furthermore, the use of the Coxian distribution in the S-HSMM makes it tractable to deal with long sequences in video. Our experimentation of the proposed framework on twelve educational and training videos shows that both models outperform the baseline cases (flat HMM and HSMM) and performances reported in earlier work in topic detection. The superior performance of the S-HSMM over the HHMM verifies our belief that duration information is an important factor in video content modeling.

Teachers' perceptions of their abilities to be educational leaders in Victorian childcare settings

In the context of new national regulatory requirements for designated educational leaders in early childhood settings, 11 Victorian teachers participated in semi-structured interviews exploring their perceptions of their ability to act as educational leaders in their childcare centres. Analysis of these interviews showed that, while teachers successfully made changes within their rooms, only those with a formal title or authority expressed confidence in their ability to lead change across their centres. Barriers to leadership included lack of time and a perception that their teacher qualifications 'did not buy authority'. A hierarchical model of leadership appeared dominant within the centres. The findings suggest both time allowance and formal role designation as strategies to support the new leadership roles, but also raise questions about the most effective models for supporting teacher leadership in childcare contexts.

Exploring the impact of clinical placement models on undergraduate midwifery students

BACKGROUND: Learning undertaken through clinical placements provides up to 50% of the educational experience for students in pre-registration midwifery courses. However little is known about of the impact various models of clinical placement have on the learning experiences of undergraduate midwifery students. Two clinical placement models have been employed for undergraduate midwifery students at Monash University, including the block placement model and the continuous two days per week model. OBJECTIVE: This project sought to explore the learning experiences of students in these two models of placement. METHOD: Focus groups were held on two campuses with a total of 17 students from different cohorts and programs. DISCUSSION: No one type of placement was favoured over another both had benefits and disadvantages. Further, this study found that regardless of program and clinical placement model the major learning impact for students was related to the midwife they worked with each day on placement rather than to the model. CONCLUSION: No one type of placement was favoured over another both had benefits and disadvantages. Further, this study found that regardless of program and clinical placement model the major learning impact for students was related to the midwife they worked with each day on placement rather than to the model.

Online distance education models and research implications

As a form of education, distance education is influenced by educationaltheories and ideologies. Hence, over time its various theoretical modelshave reflected varying emphases on students, both individually and ingroups, on content and process, and on administration and costs, and itsguiding philosophies have ranged from knowledge replication to knowledge creation, and from teacher direction to learner engagement. Its founding purpose was the provision of education to populations who were not able to access available residential education. The reasons were not only based on the individual situation, such as, geographic location, family commitments,work commitments, or cost factors, but also included state issues such as insufficient institutions or a lack of enrolment places, full-time funding, or sufficient staff. These factors have contributed in various ways to the growth of distance education, both historically as when distance education was a major focus in many European countries after WWII, and as a current imperative in many countries where the need and desire for education outstrips the supply through residential institutions, regardless of their fiscal capacities. Education is seen by both individuals and states as essential for the development of a better socio-economic environment, hence, distance education has become the cost-affordable means of provision for millions worldwide.Distance education, then, is framed within larger socio-economic andpolitical contexts. These are not only reflective of societal characteristics like those identified by Keegan (2000): immediacy, globalization, privatization, and industrialization, to which we added professional learning, but also reflective of current social, political, and economic circumstances, such as the sequence of global economic crises this century.Within these contexts then, the provision of distance education seldomarises from the desire of an institution alone; rather there are likely to becomplex national, local, and individual aspirations where distance education is seen as the best solution. The realization of this provision depends on the issues being addressed and the various influences on the particular configuration of design and provision. It may be publicly or privately funded; it may seek to emulate or extend educational provision in residential institutions; its focus may be on increasing access or openness or convenience.Models or designs for distance education, then, have generally arisen from consideration of these instances, in part to provide a framework for researchers and in part to provide a means to reflect on issues that the models themselves have tried to resolve and sometimes inadvertently create.