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University of Ontario Institute of Technology

Enhancing early mathematical professional learning with fully online learning communities (FOLC) and collaborative action research

Abstract

dc:description.abstract

Early math skills are fundamental to children’s development and significantly impact later academic success. The purpose of the study was to examine how collaborative action research (CAR) in fully online learning community (FOLC) environments affects RECEs’ early mathematical knowledge and instruction. The study used a mixed-methods approach consisting of the phase one surveys and phase two workshop and interview sessions to seek evidence related to the research questions. The surveyed RECEs possessed average digital competence concerning processes congruent with everyday practices. Findings suggest CAR as a potential mechanism for RECE professional learning as it provides opportunities to connect with others on issues related to one’s practice. Additionally, FOLC environments, emphasizing equitable, learner-centred experiences, provided participants with an accessible space for discussing authentic problems and solutions to achieve transformative learning.

Degree

thesis:*
Name thesis:degree_name
Master of Arts (MA)
Discipline thesis:degree_discipline
Education
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Branch, Jessie
Advisor dc:contributor.advisor
  • van Oostveen, Roland

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1772
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1772

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Branch, Jessie. Enhancing early mathematical professional learning with fully online learning communities (FOLC) and collaborative action research. University of Ontario Institute of Technology, 2024. https://hdl.handle.net/10155/1772