Opportunities for professional development in online teaching are abundant. However, when the online teacher is geographically and professionally isolated from others with an interest in online teaching, use of insider research to identify areas of good online teaching practice, and those areas that require further development, affords an opportunity for self-directed professional development. Despite a plethora of methodological interpretations of autoethnography, autonetnography has until now remained no more than a methodological ideal. With my background as a registered nurse and teacher of health and social care, shifting from face-to-face teaching towards teaching online, I claim value in developing autonetnography as an insider researcher self-study, to inform my online teacher professional development needs. This chapter has two main aims: (1) to share my theoretical development of analytic autonetnography as an emerging e-research methodology and (2) to evaluate my experience of employing analytic autonetnography to research my recent online teaching practice. I will claim that whilst I have found analytic autonetnography methodologically beneficial to research my online teaching practice, I was also the author who laid the foundations, constructed and evaluated an analytic autonetnography model to test its value. Therefore, the relevance of my findings in the context of the value of analytic autonetnography as an emerging e-research methodology will remain open to debate until other researchers in the digitally mediated field experience, critique, challenge and enhance analytic autonetnography theoretically.
Howard, L. (2018), "Casting the ‘Net’ in Autonetnography: Exploring the Potential for Analytic Autonetnography as an Emerging e-Research Methodology", Theory and Method in Higher Education Research (Theory and Method in Higher Education Research, Vol. 4), Emerald Publishing Limited, Leeds, pp. 163-187. https://doi.org/10.1108/S2056-375220180000004011
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