Building a Theory of Teacher Knowledge with ENA

Chandra Hawley Orrill, Rachael Eriksen Brown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we talk about how we are using Epistemic Network Analysis to build a theory of how teachers use their mathematical knowledge to solve novel proportional reasoning tasks. The data for this paper were collected from 32 in-service middle grades teachers across four states. They each completed a think-aloud interview on their own as well as a face-to-face interview that involved both pencil and paper items and items that relied on dynamic sketches. We relied on ENA to analyze the data using Knowledge in Pieces as our theoretical framework. This analysis is uncovering not only what key knowledge resources are for teachers, but also highlighting some of the differences between different groups of teachers.

Original languageEnglish (US)
Title of host publicationAdvances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings
EditorsYoon Jeon Kim, Zachari Swiecki
PublisherSpringer Science and Business Media Deutschland GmbH
Pages159-166
Number of pages8
ISBN (Print)9783031763311
DOIs
StatePublished - 2024
Event6th International Conference on Quantitative Ethnography, ICQE 2024 - Philadelphia, United States
Duration: Nov 3 2024Nov 7 2024

Publication series

NameCommunications in Computer and Information Science
Volume2279 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Quantitative Ethnography, ICQE 2024
Country/TerritoryUnited States
CityPhiladelphia
Period11/3/2411/7/24

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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