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What is Collaborative Autoethnography

Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation
involves a collective approach to the autoethnographic process, where a group of individuals (here, two) collaboratively examines and reflects upon their shared experiences and cultural dynamics. This method combines personal narratives and cultural analysis, emphasizing collaboration among researchers to explore and understand shared experiences or cultural phenomena from multiple perspectives. The process often involves shared storytelling, dialogue, and collective interpretations to uncover broader sociocultural insights.
Published in Chapter:
Generative AI-Powered Chatbots: A Creative Catalyst for Co-Creation
Ajita Deshmukh (MIT-ADT University, India) and Natasha Maria Gomes (Goa University, India)
DOI: 10.4018/979-8-3693-1351-0.ch004
Abstract
Imagine having a concept for a literary work but being unable to see it take shape because of a plethora of reasons: paucity of time, writer's block, linguistic barriers, among others. Gen AI promises to be a supportive partner in these creative endeavours. With the synergy of mind and machine, literary texts are born. This chapter attempts to provide insights into the comparison between the nuances of human-AI co-creative partnerships through the crafting of short stories. Using the lens of Collaborative Autoethnography, two seasoned educators collaboratively reflect on cognitive, behavioural, and affective dimensions of co-creating with ChatGPT, a chatbot developed by Open AI. The chapter analyses the co-creation process followed by each of the authors and brings out the commonalities and specificities of the individual lived experience to achieve a narrative piece of work. The insights of the co-creation process would be beneficial to educators, curriculum designers, technology specialists, students and those who intend to use AI-powered chatbots as co-creators.
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More Results
Overcoming Racism and Discrimination: Experiences of Vietnamese ESL Teachers in Canada
A qualitative research approach that combines elements of autoethnography (auto-, ethno-, and graphy-) with collaboration among multiple researchers. Applying this approach, researchers come together to explore their personal experiences and stories, sharing their narratives and interpretations.
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Self-Discovery: Data Collection From Self and Others for Individual and Societal Implications
Collaborative autoethnography is characterized by two or more authors focused on a phenomenon of inquiry from the respective of self through a concurrent or sequential systemic research approach that typically combines the perspectives, findings, and conclusions.
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Transforming Crucial Academic Support Services During a Pandemic: An Experiential Autoethnography
A methodological process of documenting, sharing, and interpreting personal reflections, visions, and stories Analysis of the pooled autoethnographic data requires a rigorous commitment to personal reflection and communal sharing in order to elucidate common insights and themes.
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Interdisciplinary Communication: Paving the Way for Gamification in Entrepreneurship Education – A Case Study From a Medium-Sized UK University
A multivocal research approach whereby two or more researchers work collaboratively to share their personal stories and reflect on and interpret the pooled autoethnographic data.
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