EUVIMEDEuropean Health Evidence
Uhr Sources10/10 Journal Tree
Easy Demo

European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

EuropeanMultilingualInteroperableTraceable

EUVIMED BETA

EUVIMED is currently in beta

EUVIMED is under continuous development. Features, data coverage and presentation may change or be temporarily incomplete.

Results are beta

Search results, classifications, summaries and AI-assisted assessments may be incomplete, delayed or incorrect.

Check original sources

Do not use EUVIMED results without verification for diagnosis, treatment or other clinical decisions. Always consult the original source and applicable guidelines.

Errors and feedback help us improve EUVIMED: info@euvimed.com

Lokaler Crossref-Datenbestand · journal-article

Beyond the Tutor: GenAI as a Socio-Digital Peer Learner in Teacher Education

Duygu Cavusoglu, Osman Yılmaz Kartal

Journal of Education and Learning · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

The implementations of Generative Artificial Intelligence (GenAI) in higher education have been designed based on instrumentalist paradigms, which positions the technology as an administrative support or an instructional tutor. However, this utilitarian purpose overlooks the ontological potential of GenAI to act as a social agent in the context of collaborative learning. This study, adopting a Constructivist Grounded Theory approach, proposes a substantive theory regarding the integration of GenAI as a socio-digital peer learner to drive curriculum transformation in teacher education. The inquiry draws upon a heterogeneous dataset comprising repeated interviews with a global group of pedagogical and technical experts, triangulated with synthetic data derived from recursive dialogues with advanced Large Language Models (LLMs) and industry-based field observations. The study reveals that GenAI exceeds functional utility by establishing a motivational climate, providing emotional support, maintaining a non-judgmental zone, and co-constructing pedagogical knowledge. Consequently, the resulting theory advocates for a paradigm shift from technology-as-a-tool to technology-as-a-social-collaborator, proposing a transformative framework where future educators develop dialogic agency alongside their non-human peers.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Duygu Cavusoglu, Osman Yılmaz Kartal
Quelle
Journal of Education and Learning
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
1927-5269, 1927-5250
Zitationen
0 laut Crossref
Referenzen
0 hinterlegt

Zitieren

Zitierfähiger Nachweis

Duygu Cavusoglu, Osman Yılmaz Kartal (2026). Beyond the Tutor: GenAI as a Socio-Digital Peer Learner in Teacher Education. Journal of Education and Learning. https://doi.org/10.5539/jel.v15n5p581
RIS BibTeX CSL-JSON

Kontext

Themen, Förderung und Nutzung

Lizenzhinweise: Lizenz 1