Methods: Dialoguing with the Algorithm

Methods for Dialoguing with the Algorithm: An Autoethnographic Study of Midlife Voice, Uncertainty, and Teacher Identity in a ChatGPT Exchange

Abstract

This autoethnography explores how an aging foreign educator negotiates identity through AI-mediated dialogue in Korean EFL. Analysis of a ChatGPT exchange reveals moments of prompting, resistance, and revoicing, highlighting AI as a discursive partner. Findings emphasize epistemic labor, conscious cultural mediation, and the need for reflexive digital literacy to sustain pedagogical authority in human-AI collaboration.

Keywords: Autoethnography; Teacher Identity; Artificial Intelligence; Aging Educators; Dialogic Pedagogy; Cultural Mediation; Digital Labor

By: Maria Lisak EdD (How to cite)

This study employs a layered autoethnographic approach that situates my own professional encounters with AI within broader cultural, institutional, and pedagogical contexts. This chapter outlines the methodological foundations, my positionality, and the data sources that ground the analysis.

Autoethnography

Researcher Positionality: Navigating Cultural and Institutional Contexts

Data Collection & Analysis

    Autoethnography, positionality, and a multilayered analytic approach underpin the exploration of identity in AI-mediated dialogue. The next section turns to the findings, where five key moments of professional becoming are analyzed in depth.

    For this paper, click here. 

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