Open Dataset — Included Studies for: Access Does Not Dissolve the Field: Generative AI, Cultural Capital, and Educational Stratification

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Authors: Flavio Manganello, Boccuzzi, Giannangelo, Giancarlo Masi, Alberto Nico, Martina Ragusa
Cited by: 0
References: 5

Abstract

This dataset contains the five empirical studies included in a qualitative interpretive meta-synthesis (QIMS) examining how generative AI integration interacts with educational stratification mechanisms and student agency. Studies were identified through systematic searches in Scopus, Web of Science Core Collection, and ERIC (August 2025), covering the period 2018–2025. The corpus encompasses 3,849 students across the United States, Norway, Israel, and China, spanning K-12 and higher education contexts. The dataset includes bibliographic information, study characteristics, sample demographics, AI technologies examined, theoretical frameworks, and thematic findings for each included study. The associated article is under review at Discourse: Studies in the Cultural Politics of Education.

Fields of Study & Subjects

Artificial Intelligence in Education Cultural Capital and Social Class Digital Education and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN
Document type
Dataset