JOURNAL ARTICLE
Research on early literacy in Reggio and Montessori classrooms: A scoping review.
Published In: Journal of Early Childhood Literacy, 2025, v. 25, n. 3. P. 694 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Beach, Pamela 3 of 3
Abstract
This article presents a scoping review of 26 empirical studies investigating early literacy development in Reggio Emilia and Montessori early childhood classrooms. Using a five-stage framework and thematic content analysis, four main themes emerged: avenues for literacy learning (through arts, inquiry, and play), home-school connections, early literacy advantages associated with these approaches, and enriched literacy environments. The review found that Reggio Emilia classrooms typically integrate literacy organically within play and inquiry projects, emphasizing oral language and multimodal communication, while Montessori classrooms often employ more systematic, explicit instruction focusing on phonological awareness, letter-sound associations, and decoding skills. Most Reggio studies used qualitative methods, whereas Montessori studies frequently employed quantitative designs, with research conducted across diverse geographical contexts but predominantly in North America. The article highlights the need for further empirical research using varied methodologies and including broader cultural contexts to deepen understanding of early literacy development within these non-traditional educational approaches.
Additional Information
- Source:Journal of Early Childhood Literacy. 2025/09, Vol. 25, Issue 3, p694
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:1468-7984
- DOI:10.1177/14687984231186090
- Accession Number:187022794
- Copyright Statement:Copyright of Journal of Early Childhood Literacy is the property of Sage Publications Inc. 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.