Artificial intelligence in early childhood education from 2014-2024: A systematic review of applications, trends, and research gaps

Achiaa, R., Ramzan, A., Agbogah, I. M., & Nkansah, D. A. (2025). Artificial intelligence in early childhood education from 2014-2024: A systematic review of applications, trends, and research gaps. The International Journal of Technology, Innovation, and Education, 3(3), 88‑101. https://doi.org/10.5281/zenodo.17272192

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17272191
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in early childhood education from 2014-2024: A systematic review of applications, trends, and research gaps

Zenodo (CERN European Organization for Nuclear Research)
Child Development and Digital Technology
article

Artificial intelligence in early childhood education from 2014-2024: A systematic review of applications, trends, and research gaps

article en

Abstract

Achiaa, R., Ramzan, A., Agbogah, I. M., & Nkansah, D. A. (2025). Artificial intelligence in early childhood education from 2014-2024: A systematic review of applications, trends, and research gaps. The International Journal of Technology, Innovation, and Education, 3(3), 88‑101. https://doi.org/10.5281/zenodo.17272192

Zenodo (CERN European Organization for Nuclear Research)
York St John University (GB), Nanjing University of Information Science and Technology (CN), Center for Business Studies (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Child Development and Digital Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.