The Discourse Mapping Tree as a tool for mapping classroom discussions in linear algebra

Mathematical discussions, along with other learner-centered teaching practices, are becoming more prevalent in tertiary mathematical education, yet the mathematical content of these discussions and the learning involved remain less explored. We developed the Discourse Mapping Tree (DMT), a commognitive based tool for mapping mathematical content during discussions, which allowed us to examine learning of a class as a whole in linear algebra discussions. The DMT displays the objects on which a discussion focuses, the multiple types of realizations of these objects and the narratives authoring links between the realizations. The DMT showed that the division of labor between the instructor and the students in our study was not always symmetrical. This tool provides a succinct overall image of the publicly available mathematics during a classroom discussion and allows for the mapping of complex tertiary level mathematics which include multiple objects and realizations. • Introduces the Discourse Mapping Tree (DMT) tool for mapping discussions. • Shows instructors’ key role in linking sub-discourses in linear algebra discussions. • Provides a visual tool to summarize mathematical content in class discussions.

Authors

Institutions

Publication Details

Journal
The Journal of Mathematical Behavior
Published
2026-03-31
DOI
https://doi.org/10.1016/j.jmathb.2026.101328
Primary Topic
Mathematics Education and Teaching Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Discourse Mapping Tree as a tool for mapping classroom discussions in linear algebra

Miriam N Wallach, Ram Band, Einat Heyd-Metzuyanim
The Journal of Mathematical Behavior
Mathematics Education and Teaching Techniques
article

The Discourse Mapping Tree as a tool for mapping classroom discussions in linear algebra

Miriam N Wallach, Ram Band, Einat Heyd-Metzuyanim
article en

Abstract

Mathematical discussions, along with other learner-centered teaching practices, are becoming more prevalent in tertiary mathematical education, yet the mathematical content of these discussions and the learning involved remain less explored. We developed the Discourse Mapping Tree (DMT), a commognitive based tool for mapping mathematical content during discussions, which allowed us to examine learning of a class as a whole in linear algebra discussions. The DMT displays the objects on which a discussion focuses, the multiple types of realizations of these objects and the narratives authoring links between the realizations. The DMT showed that the division of labor between the instructor and the students in our study was not always symmetrical. This tool provides a succinct overall image of the publicly available mathematics during a classroom discussion and allows for the mapping of complex tertiary level mathematics which include multiple objects and realizations. • Introduces the Discourse Mapping Tree (DMT) tool for mapping discussions. • Shows instructors’ key role in linking sub-discourses in linear algebra discussions. • Provides a visual tool to summarize mathematical content in class discussions.

The Journal of Mathematical BehaviorVol. 83
Technion – Israel Institute of Technology (IL)
Technion-Israel Institute of Technology
Quality Education
Openalex Percentile: Top 27%
Mathematics Education and Teaching Techniques
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.

The Discourse Mapping Tree as a tool for mapping classroom discussions in linear algebra — Miriam N Wallach, Ram Band, et al. · The Journal of Mathematical Behavior (2026) | TGRS Research Map | TGRS