‘Mommy Chance’: Conversation Analysis Study on Recruitment for Help during Family Tutoring Sessions

This study explores the phenomenon of “mommy chance” in family tutoring sessions, with emphasis on instances where a tutor, who is an older sibling, refers to their mother for assistance when unable to answer a tutee’s question—a younger sibling’s—on English. By utilizing conversation analysis (CA) as an analytical approach, the study explores how these moments of recruitment for help not only highlight the epistemic status hierarchy within the family but also generate learning opportunities. The analysis reveals that when the tutor encounters knowledge limitations, the act of invoking “mommy chance” leverages the mother’s higher epistemic status, which typically results in problem solving. Specifically, the analysis indicates the following: (1) the mother’s assistance facilitates learning opportunities for both the tutor and tutee; (2) the act of recruiting help from the mother generates learning opportunities; and (3) the tutor creates learning opportunities by refusing “mommy chance” and persistently explaining the subject matter. This study provides insights into the nuanced dynamics of knowledge exchange in “nonformal” educational settings, with emphasis on a particularly unique case of informal learning where a tutor assumes epistemic authority over the tutee while having access to an expert for unresolved issues. The findings contribute to the broader CA literature regarding tutoring practices by illustrating the complex relationship among recruitment for help, negotiating understanding, and bridging knowledge gaps in a familial context.

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Publication Details

Journal
Lanaguage Research
Published
2024-12-31
DOI
https://doi.org/10.30961/lr.2024.60.3.347
Primary Topic
Language, Discourse, Communication Strategies
Type
article
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article

‘Mommy Chance’: Conversation Analysis Study on Recruitment for Help during Family Tutoring Sessions

Eunseok Ro, Namsoon Im
Lanaguage Research
Language, Discourse, Communication Strategies
article

‘Mommy Chance’: Conversation Analysis Study on Recruitment for Help during Family Tutoring Sessions

Eunseok Ro, Namsoon Im
article en

Abstract

This study explores the phenomenon of “mommy chance” in family tutoring sessions, with emphasis on instances where a tutor, who is an older sibling, refers to their mother for assistance when unable to answer a tutee’s question—a younger sibling’s—on English. By utilizing conversation analysis (CA) as an analytical approach, the study explores how these moments of recruitment for help not only highlight the epistemic status hierarchy within the family but also generate learning opportunities. The analysis reveals that when the tutor encounters knowledge limitations, the act of invoking “mommy chance” leverages the mother’s higher epistemic status, which typically results in problem solving. Specifically, the analysis indicates the following: (1) the mother’s assistance facilitates learning opportunities for both the tutor and tutee; (2) the act of recruiting help from the mother generates learning opportunities; and (3) the tutor creates learning opportunities by refusing “mommy chance” and persistently explaining the subject matter. This study provides insights into the nuanced dynamics of knowledge exchange in “nonformal” educational settings, with emphasis on a particularly unique case of informal learning where a tutor assumes epistemic authority over the tutee while having access to an expert for unresolved issues. The findings contribute to the broader CA literature regarding tutoring practices by illustrating the complex relationship among recruitment for help, negotiating understanding, and bridging knowledge gaps in a familial context.

Lanaguage ResearchVol. 60(3)
Pusan National University (KR)
Openalex Percentile: Top 55%
Language, Discourse, Communication Strategies
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‘Mommy Chance’: Conversation Analysis Study on Recruitment for Help during Family Tutoring Sessions — Eunseok Ro, Namsoon Im · Lanaguage Research (2024) | TGRS Research Map | TGRS