Using hierarchical logistic regression analysis to investigate equity in classroom discourse

Aviv Orner, Adam Lefstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a novel methodology for examining equity in classroom discourse. Coding discourse data at the level of the exchange (rather than the utterance) affords investigation of the relationships between teachers' expectations, teaching patterns, students' social backgrounds and participation patterns. Using a hierarchical logistic regression model, we found that the likelihood of students' answers being developed by the teacher in this particular classroom was greater for Jewish students, for boys, for students from higher socioeconomic backgrounds, for answers given following teacher nomination, and for relevant responses. In contrast to previous studies, the teacher's perception of the student's learning ability and the type of question posed had no statistically significant effect on the likelihood of the teacher developing the student's answer. The study contributes to our understanding of the mechanisms of educational injustice, to the development of methods for investigating equity in classroom discourse, and - thereby - to its rectification.

Original languageEnglish
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Pages977-980
Number of pages4
ISBN (Electronic)9781737330653
StatePublished - 2022
Externally publishedYes
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: 6 Jun 202210 Jun 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference16th International Conference of the Learning Sciences, ICLS 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/06/2210/06/22

Bibliographical note

Publisher Copyright:
© ISLS.

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