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Research title

Digital Transformation and AI Application in Early Childhood Education in Vietnam: Awareness, Readiness, and Barriers

Overview

This repository contains the materials and metadata for a research paper presented in a national scientific conference proceeding. The study examines how early childhood education in Vietnam is adapting to digital transformation and artificial intelligence through teacher awareness, readiness, and implementation barriers.

Research summary

  • Research design: descriptive survey research using data collected from 426 early childhood education teachers.
  • Main objective: assess current awareness and readiness of teachers for digital technology and AI in the classroom, and identify key obstacles that limit practical adoption.
  • Key finding: teachers reported a readiness score of 4.04 out of 5, but significant implementation barriers remain, including lack of digital skills (71.6%) and insufficient infrastructure.

Paper details

  • Publication date: 2026-04-20
  • Document type: National Scientific Conference Proceeding Article
  • Language: Vietnamese (primary), English (abstract and keywords)
  • Venue: National Scientific Conference Proceedings: Connecting Theory and Practice in Teacher Training
  • Pages: 719–726
  • ISBN: 978-604-937-450-0
  • DOI: 10.5281/zenodo.20150067
  • Record URL: https://zenodo.org/records/20150067/latest
  • Copyright: Maritime Publishing House
  • Access status: Not for sale (Sách không bán)

Authors

  • Primary author: Le Tuan Duc
  • Primary affiliation: Vietnam National Institute of Educational Sciences (VNIES)
  • Co-author: Le Tung Bach
  • Corresponding email: duclt@vnies.edu.vn

Keywords

Digital transformation, Artificial intelligence (AI), early childhood education, digital competence, quality of interaction

Subject areas

Pedagogy, Early Childhood Education, Digital Transformation, AI Applications

Funding and support

  • Funded by Muala Academy of Fine Arts (websitemulala.edu.vn)

Repository structure

  • metadata/
    • Metadata.md — extracted metadata and detailed summary of the research paper.
  • documents/
    • Supporting files and source materials, including the OCR document, cover/back pages, spreadsheet data, and presentation files.
  • index.html — guest-friendly web page summarizing the research and linking to key documents.

Files

  • metadata/Metadata.md — comprehensive metadata for the paper.
  • documents/Thu moi viet bai HTKH 31.01_OCR.pdf — main document scan or OCR version.
  • documents/cover.pdf — cover page.
  • documents/back.pdf — back page.
  • documents/db.xlsx — spreadsheet containing supplementary data.
  • documents/pp.docx — presentation or proposal draft.
  • documents/pp.pdf — exported presentation.
  • index.html — simple web page for guest access.

How to use

  1. Open metadata/Metadata.md for a structured summary of the research.
  2. Review the main document in documents/Thu moi viet bai HTKH 31.01_OCR.pdf.
  3. Use the supporting files in documents/ for additional context, figures, and data.
  4. Open index.html in a browser for a quick guest-friendly overview.

Notes

This repository is organized to make the research accessible to reviewers and collaborators, separating metadata from original and supporting documents.

About

This study assesses the readiness of 426 Vietnamese early childhood teachers to adopt AI, finding high acceptance (4.04/5) but identifying significant barriers such as insufficient technical skills (71.6%) and limited infrastructure.

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