JOURNAL ARTICLE

Towards research-based organizational structures in mathematics tutoring centres.

  • Published In: Teaching Mathematics & its Applications, 2024, v. 43, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Byerley, Cameron; Johns, Carolyn; Moore-Russo, Deborah; Rickard, Brian; James, Carolyn; Mills, Melissa; Mammo, Behailu; Oien, Janet; Burks, Linda; Heasom, William; Ferreira, Melissa; Farthing, Cynthia; Moritz, Daniel 3 of 3

Abstract

This article investigates organizational structures of undergraduate mathematics tutoring centres in the USA to generate hypotheses about characteristics of effective centres. Using quantitative data from over 26,000 students across ten institutions and qualitative data describing centre features, the study employed the Delphi process with expert centre leaders to identify plausible hypotheses. Key findings suggest that centres with more specialized tutor models tend to have higher student visitation rates, tutors responsible for fewer courses struggle less to answer questions, tutor training correlates with increased return visits, and having instructors hold office hours in the centre may enhance tutoring effectiveness. While these hypotheses are grounded in exploratory data and professional experience, the study emphasizes that further research is needed to rigorously test their validity and that effectiveness may depend on local context and implementation.

Additional Information

  • Source:Teaching Mathematics & its Applications. 2024/03, Vol. 43, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:0268-3679
  • DOI:10.1093/teamat/hrac026
  • Accession Number:175824265
  • Copyright Statement:Copyright of Teaching Mathematics & its Applications is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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