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Guest Editors Introduction

Knowledge Intersections: Exploring the Research of Central Australia

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Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Lisa Hall Although she grew up north of Melbourne, Lisa was lured to the blue skies and red dirt of Central Australia almost 20 years ago and has lived and worked in education in remote communities throughout the desert. For the past 7 years Lisa has also worked for Batchelor Institute of Indigenous Tertiary Education as a Lecturer in the Preparation for Tertiary Success (PTS) course. In 2016 she completed her PhD ‘Moving Deeper into Difference – Developing meaningful and effective pathways into teacher education for Indigenous adults from remote communities’ through Charles Darwin University. Her research speciality is in qualitative methodologies with a particular interest in narrative methodology and its capacity to facilitate collaborative and generative research processes. Lisa has also been exploring decolonising methodologies and ethical research practices. Her theoretical strengths are in the areas of Critical Race Theory, post-colonial theory, setter colonial theory, whiteness theory, and collectivist theory.

John Guenther Over the last 10 years John has conducted research and evaluation projects which have focused on remote contexts, particularly in the Northern Territory of Australia. A recurring theme in all his work is the importance of learning, whether it be for adults, young people or children. He is also interested in education systems and their impact on learning. In recent work on remote education systems a focus has been on the importance of Aboriginal and Torres Strait Islander knowledge systems and their accompanying epistemologies, ontologies, axiologies and cosmologies. Understanding the interface between cultures in the ‘red dirt’ context of schooling in remote communities has also been a key concern. John prefers to use mixed methods approaches where the powerful combination of qualitative and quantitative data can be used for transformative purposes.

Notes

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