Tracing Mastery Narratives and Recentering a Problem-Solving View of Mathematics

In this paper, we trace qualities of mastery (Singh, 2018) in mathematics education to unearth and work against taken-for-granted ways of being in elementary mathematics classrooms. In order to expose the networked tendrils of mastery thinking, we attend to two data sets. First, we analyze public mathematics narratives through artifacts of K12 schooling, asking, in what ways are qualities of mastery such as splitting, subordination, and the persistence of narratives over time evident (Singh, 2018)? Second, we turn to teachers’ reflections on what mathematics is and when they were seen as “good at math” and “bad at math.” In our analysis, we aligned their responses to Ernest’s (1989) views of mathematics, as reflecting more or less master(full) views of mathematics teaching and learning. We intentionally attune to teachers' narratives of being seen as “good” or “bad” at mathematics as their voices are often silenced or disregarded. We trace how particular and harmful storylines persist as to what counts as mathematics in K12 schooling and how these storylines encase students in hard-to-escape trajectories of failure. We end with proposed counter qualities that align with a problem-solving view of mathematics that centers curiosity, creativity, uncertainty, and joy.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15231893
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracing Mastery Narratives and Recentering a Problem-Solving View of Mathematics

Zenodo (CERN European Organization for Nuclear Research)
Monoclonal and Polyclonal Antibodies Research
article

Tracing Mastery Narratives and Recentering a Problem-Solving View of Mathematics

article en

Abstract

In this paper, we trace qualities of mastery (Singh, 2018) in mathematics education to unearth and work against taken-for-granted ways of being in elementary mathematics classrooms. In order to expose the networked tendrils of mastery thinking, we attend to two data sets. First, we analyze public mathematics narratives through artifacts of K12 schooling, asking, in what ways are qualities of mastery such as splitting, subordination, and the persistence of narratives over time evident (Singh, 2018)? Second, we turn to teachers’ reflections on what mathematics is and when they were seen as “good at math” and “bad at math.” In our analysis, we aligned their responses to Ernest’s (1989) views of mathematics, as reflecting more or less master(full) views of mathematics teaching and learning. We intentionally attune to teachers' narratives of being seen as “good” or “bad” at mathematics as their voices are often silenced or disregarded. We trace how particular and harmful storylines persist as to what counts as mathematics in K12 schooling and how these storylines encase students in hard-to-escape trajectories of failure. We end with proposed counter qualities that align with a problem-solving view of mathematics that centers curiosity, creativity, uncertainty, and joy.

Zenodo (CERN European Organization for Nuclear Research)
Denver Public Schools (US), Mercer University Health Sciences Center (US), Boys & Girls Clubs of America (US)
Quality Education
Openalex Percentile: Top 41%
Monoclonal and Polyclonal Antibodies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tracing Mastery Narratives and Recentering a Problem-Solving View of Mathematics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS